pipeline_tag stringclasses 48
values | library_name stringclasses 198
values | text stringlengths 1 900k | metadata stringlengths 2 438k | id stringlengths 5 122 | last_modified null | tags listlengths 1 1.84k | sha null | created_at stringlengths 25 25 | arxiv listlengths 0 201 | languages listlengths 0 1.83k | tags_str stringlengths 17 9.34k | text_str stringlengths 0 389k | text_lists listlengths 0 722 | processed_texts listlengths 1 723 | tokens_length listlengths 1 723 | input_texts listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | haith1307/ppo-SnowballTarget | null | [
"ml-agents",
"tensorboard",
"onnx",
"SnowballTarget",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SnowballTarget",
"region:us"
] | null | 2024-04-04T08:10:18+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *... | [
"TAGS\n#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us \n",
"# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agen... | [
39,
207
] | [
"TAGS\n#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us \n# ppo Agent playing SnowballTarget\n This is a trained model of a ppo agent playing SnowballTarget\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n ... |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-parkinson-classification
This model is a fine-tuned version of [microsoft/swin-tiny-patch... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-parkinson-classification", "results": [{"task": {"type": "image-classification", "n... | VasundharaBoomi/swin-tiny-patch4-window7-224-finetuned-parkinson-classification | null | [
"transformers",
"tensorboard",
"safetensors",
"swin",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:microsoft/swin-tiny-patch4-window7-224",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T08:11:02+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| swin-tiny-patch4-window7-224-finetuned-parkinson-classification
===============================================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4284
* Accuracy:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following h... | [
75,
142,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperpa... |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/facebook-xglm-7.5B-bnb-4bit-smashed | null | [
"transformers",
"safetensors",
"xglm",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"4-bit",
"region:us"
] | null | 2024-04-04T08:12:31+00:00 | [] | [] | TAGS
#transformers #safetensors #xglm #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #xglm #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #4-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Reques... | [
38,
83,
454,
69,
19,
64,
36
] | [
"TAGS\n#transformers #safetensors #xglm #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #4-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request acce... |
text-generation | transformers |
# Nous Hermes 2 - Mixtral 8x7B - DPO Exl2 8.0bpw hb8
- Original model [Nous-Hermes-2-Mixtral-8x7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO)
- Model Author [NousResearch](https://huggingface.co/NousResearch)
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/6317aade83d... | {"language": ["en"], "license": "apache-2.0", "tags": ["Mixtral", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistralai/Mixtral-8x7B-v0.1", "widget": [{"example_title": "Hermes 2", "messages": [{"role": "system", "con... | solidrust/Nous-Hermes-2-Mixtral-8x7B-DPO-8.0bpw-hb8-exl2 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"Mixtral",
"instruct",
"finetune",
"chatml",
"DPO",
"RLHF",
"gpt4",
"synthetic data",
"distillation",
"conversational",
"en",
"dataset:teknium/OpenHermes-2.5",
"base_model:mistralai/Mixtral-8x7B-v0.1",
"license:apache-2.0... | null | 2024-04-04T08:14:55+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #Mixtral #instruct #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #conversational #en #dataset-teknium/OpenHermes-2.5 #base_model-mistralai/Mixtral-8x7B-v0.1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-infer... |
# Nous Hermes 2 - Mixtral 8x7B - DPO Exl2 8.0bpw hb8
- Original model Nous-Hermes-2-Mixtral-8x7B-DPO
- Model Author NousResearch
!image/jpeg
## Model description
Nous Hermes 2 Mixtral 8x7B DPO is the new flagship Nous Research model trained over the Mixtral 8x7B MoE LLM.
The model was trained on over 1,000,000 e... | [
"# Nous Hermes 2 - Mixtral 8x7B - DPO Exl2 8.0bpw hb8\n\n- Original model Nous-Hermes-2-Mixtral-8x7B-DPO\n- Model Author NousResearch\n\n!image/jpeg",
"## Model description\n\nNous Hermes 2 Mixtral 8x7B DPO is the new flagship Nous Research model trained over the Mixtral 8x7B MoE LLM. \n\nThe model was trained on... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #Mixtral #instruct #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #conversational #en #dataset-teknium/OpenHermes-2.5 #base_model-mistralai/Mixtral-8x7B-v0.1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation... | [
119,
59,
130,
26,
48,
4,
14,
14,
20,
56,
12,
11,
11,
5,
11,
12,
12,
43,
355,
34,
5,
16,
12,
31,
16,
14,
11,
14,
11,
13,
10,
11,
5,
11,
48
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #Mixtral #instruct #finetune #chatml #DPO #RLHF #gpt4 #synthetic data #distillation #conversational #en #dataset-teknium/OpenHermes-2.5 #base_model-mistralai/Mixtral-8x7B-v0.1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation... |
text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-7 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"multilingual",
"dataset:MBZUAI/Bactrian-X",
"arxiv:2404.04850",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T08:15:12+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
82,
134,
16
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository ... |
automatic-speech-recognition | transformers | # VerbaLex (Arabic) model
This model is one of the ASR models for the VerbaLex system targeting the transcription of Arabic-accented English speech.
## Model Details
### Model Description
- **Developed by:** Ritchie P
- **Language(s) (NLP):** English
- **License:** Apache 2.0
- **Finetuned from model:** OpenAI/Whis... | {"language": ["en"], "license": "apache-2.0", "datasets": ["RitchieP/VerbaLex_voice"], "metrics": ["wer"], "base_model": "openai/whisper-small"} | RitchieP/verbalex-zh | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"en",
"dataset:RitchieP/VerbaLex_voice",
"arxiv:2212.04356",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T08:15:46+00:00 | [
"2212.04356"
] | [
"en"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #en #dataset-RitchieP/VerbaLex_voice #arxiv-2212.04356 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| # VerbaLex (Arabic) model
This model is one of the ASR models for the VerbaLex system targeting the transcription of Arabic-accented English speech.
## Model Details
### Model Description
- Developed by: Ritchie P
- Language(s) (NLP): English
- License: Apache 2.0
- Finetuned from model: OpenAI/Whisper-small
## Us... | [
"# VerbaLex (Arabic) model\n\nThis model is one of the ASR models for the VerbaLex system targeting the transcription of Arabic-accented English speech.",
"## Model Details",
"### Model Description\n\n- Developed by: Ritchie P\n- Language(s) (NLP): English\n- License: Apache 2.0\n- Finetuned from model: OpenAI/... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #en #dataset-RitchieP/VerbaLex_voice #arxiv-2212.04356 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us \n",
"# VerbaLex (Arabic) model\n\nThis model is one of the ASR models for the VerbaLex... | [
70,
32,
4,
42,
3,
26,
4,
30,
3,
61
] | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #en #dataset-RitchieP/VerbaLex_voice #arxiv-2212.04356 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us \n# VerbaLex (Arabic) model\n\nThis model is one of the ASR models for the VerbaLex syste... |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloomz-7b1-mt-bnb-8bit-smashed | null | [
"transformers",
"safetensors",
"bloom",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-04T08:17:44+00:00 | [] | [] | TAGS
#transformers #safetensors #bloom #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #bloom #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to c... | [
42,
83,
454,
71,
19,
66,
36
] | [
"TAGS\n#transformers #safetensors #bloom #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compres... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pankajshakya627/gemma-2b-peft-squad_v2_pankaj | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T08:18:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/dawn17/MistarlingMaid-2x7B-base
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned f... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "dawn17/MistarlingMaid-2x7B-base", "quantized_by": "mradermacher"} | mradermacher/MistarlingMaid-2x7B-base-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:dawn17/MistarlingMaid-2x7B-base",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T08:20:09+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-dawn17/MistarlingMaid-2x7B-base #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-dawn17/MistarlingMaid-2x7B-base #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
45
] | [
"TAGS\n#transformers #gguf #en #base_model-dawn17/MistarlingMaid-2x7B-base #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-8 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"multilingual",
"dataset:MBZUAI/Bactrian-X",
"arxiv:2404.04850",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T08:20:48+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
82,
138,
16
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository ... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Hre 6 - female voice - 500 steps, metric CER
This model is a fine-tuned version of [openai/whisper-small](https://... | {"language": ["hre"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ntviet/Hre-audio-dataset6"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hre 6 - female voice - 500 steps, metric CER", "results": []}]} | ntviet/whisper-small-hre6-nu | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"hre",
"dataset:ntviet/Hre-audio-dataset6",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T08:20:51+00:00 | [] | [
"hre"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #hre #dataset-ntviet/Hre-audio-dataset6 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| Whisper Small Hre 6 - female voice - 500 steps, metric CER
==========================================================
This model is a fine-tuned version of openai/whisper-small on the Hre audio dataset 6 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0693
* Cer Ortho: 9.3458
* Cer: 0.0
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\\_with\\_warmup\n* lr\\_schedule... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #hre #dataset-ntviet/Hre-audio-dataset6 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were use... | [
71,
133,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #hre #dataset-ntviet/Hre-audio-dataset6 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used duri... |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# FFPP-Raw_1FPS_faces-expand-40-aligned_metric
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](http... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "FFPP-Raw_1FPS_faces-expand-40-aligned_metric", "results": [{"task": {"type": "image-classific... | hchcsuim/FFPP-Raw_1FPS_faces-expand-40-aligned_metric | null | [
"transformers",
"tensorboard",
"safetensors",
"swin",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:microsoft/swin-tiny-patch4-window7-224",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T08:23:07+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| FFPP-Raw\_1FPS\_faces-expand-40-aligned\_metric
===============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4464
* Accuracy: 0.8065
* Recall: 0.5993
* Preci... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following h... | [
75,
142,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperpa... |
null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "Salesforce/blip2-opt-2.7b"} | sezenkarakus/image-BLIP2-description-model-v1 | null | [
"peft",
"arxiv:1910.09700",
"base_model:Salesforce/blip2-opt-2.7b",
"region:us"
] | null | 2024-04-04T08:23:16+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-Salesforce/blip2-opt-2.7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [optional]: \n- Demo [optional]:"... | [
"TAGS\n#peft #arxiv-1910.09700 #base_model-Salesforce/blip2-opt-2.7b #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Mo... | [
36,
6,
4,
43,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
16
] | [
"TAGS\n#peft #arxiv-1910.09700 #base_model-Salesforce/blip2-opt-2.7b #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:### Model Sources [optional]\n... |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/allknowingroger/TripleMerge2-7B-Ties
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not plan... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "allknowingroger/LimyQstar-7B-slerp", "allknowingroger/JaskierMistral-7B-slerp", "allknowingroger/LimmyAutomerge-7B-slerp"], "base_model": "allknowingroger/TripleMerge2-7B-Ties", "quantized_by": "... | mradermacher/TripleMerge2-7B-Ties-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"allknowingroger/LimyQstar-7B-slerp",
"allknowingroger/JaskierMistral-7B-slerp",
"allknowingroger/LimmyAutomerge-7B-slerp",
"en",
"base_model:allknowingroger/TripleMerge2-7B-Ties",
"license:apache-2.0",
"endpoints_compatible",
"reg... | null | 2024-04-04T08:25:34+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #allknowingroger/LimyQstar-7B-slerp #allknowingroger/JaskierMistral-7B-slerp #allknowingroger/LimmyAutomerge-7B-slerp #en #base_model-allknowingroger/TripleMerge2-7B-Ties #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #allknowingroger/LimyQstar-7B-slerp #allknowingroger/JaskierMistral-7B-slerp #allknowingroger/LimmyAutomerge-7B-slerp #en #base_model-allknowingroger/TripleMerge2-7B-Ties #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
117
] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #allknowingroger/LimyQstar-7B-slerp #allknowingroger/JaskierMistral-7B-slerp #allknowingroger/LimmyAutomerge-7B-slerp #en #base_model-allknowingroger/TripleMerge2-7B-Ties #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
null | null | GGUF quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
M7-7b - GGUF
- Model creator: https://huggingface.co/liminerity/
- Original model: https://huggingface.co/liminerity/M7... | {} | RichardErkhov/M7-7b-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-04T08:26:41+00:00 | [] | [] | TAGS
#gguf #region-us
| GGUF quantization made by Richard Erkhov.
Github
Discord
Request more models
M7-7b - GGUF
* Model creator: URL
* Original model: URL
Name: M7-7b.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: M7-7b.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: M7-7b.IQ3\_S.gguf, Quant method: IQ3\_S, Size: 2.... | [] | [
"TAGS\n#gguf #region-us \n"
] | [
9
] | [
"TAGS\n#gguf #region-us \n"
] |
text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-9 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"multilingual",
"dataset:MBZUAI/Bactrian-X",
"arxiv:2404.04850",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T08:26:56+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
82,
142,
16
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository ... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# model_qna
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "model_qna", "results": []}]} | Umer4/model_qna | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"license:apache-2.0",
"region:us"
] | null | 2024-04-04T08:29:17+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #region-us
|
# model_qna
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpara... | [
"# model_qna\n\nThis model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedu... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #region-us \n",
"# model_qna\n\nThis model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.",
"## Model description\n\nMore information ... | [
58,
38,
7,
9,
9,
4,
108,
5,
55
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #region-us \n# model_qna\n\nThis model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.## Model description\n\nMore information needed## Int... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | SORABE/distilbert-base-uncased-finetuned-emotion | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T08:31:18+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1521
* Accuracy: 0.934
* F1: 0.9338
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters... | [
68,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #dataset-emotion #base_model-distilbert-base-uncased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were ... |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/princeton-nlp-Sheared-LLaMA-2.7B-bnb-8bit-smashed | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-04T08:31:21+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to c... | [
43,
83,
454,
74,
19,
69,
36
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compres... |
text2text-generation | transformers |
# Model Card for mT5-DEplain-APA
<!-- Provide a quick summary of what the model is/does. -->
This model aims to simplify German texts into plain German language. It belongs to the experiments done at the work of Stodden (2024, to appear). "Reproduction & Benchmarking of German Text Simplification Systems" In Procee... | {"language": ["de"], "library_name": "transformers", "tags": ["text simplification", "plain language", "easy-to-read language", "sentence simplification"], "datasets": ["DEplain/DEplain-APA-sent"], "metrics": ["sari", "bleu", "bertscore"], "pipeline_tag": "text2text-generation"} | DEplain/mt5-DEplain-APA | null | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"text simplification",
"plain language",
"easy-to-read language",
"sentence simplification",
"de",
"dataset:DEplain/DEplain-APA-sent",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T08:31:58+00:00 | [] | [
"de"
] | TAGS
#transformers #pytorch #mt5 #text2text-generation #text simplification #plain language #easy-to-read language #sentence simplification #de #dataset-DEplain/DEplain-APA-sent #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Model Card for mT5-DEplain-APA
==============================
This model aims to simplify German texts into plain German language. It belongs to the experiments done at the work of Stodden (2024, to appear). "Reproduction & Benchmarking of German Text Simplification Systems" In Proceedings of the 1st Workshop on Eval... | [
"### Model Description\n\n\n* Developed by: Regina Stodden\n* Model type: Text2Text Generation\n* Language(s) (NLP): German, Plain German\n* Finetuned from model: URL",
"### Model Sources\n\n\n* Repository: URL\n* Paper: Stodden (2024, to appear). \"Reproduction & Benchmarking of German Text Simplification System... | [
"TAGS\n#transformers #pytorch #mt5 #text2text-generation #text simplification #plain language #easy-to-read language #sentence simplification #de #dataset-DEplain/DEplain-APA-sent #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\n\n* Developed by: Reg... | [
75,
44,
69,
108,
186,
119,
77,
5,
82,
10,
51,
243,
150
] | [
"TAGS\n#transformers #pytorch #mt5 #text2text-generation #text simplification #plain language #easy-to-read language #sentence simplification #de #dataset-DEplain/DEplain-APA-sent #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\n\n* Developed by: Regina St... |
sentence-similarity | sentence-transformers |
# assskelad/paraphrase-multilingual-mpnet-base-v2_hh_MNRL
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transfo... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | assskelad/paraphrase-multilingual-mpnet-base-v2_hh_MNRL | null | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T08:32:21+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# assskelad/paraphrase-multilingual-mpnet-base-v2_hh_MNRL
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentenc... | [
"# assskelad/paraphrase-multilingual-mpnet-base-v2_hh_MNRL\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you ha... | [
"TAGS\n#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us \n",
"# assskelad/paraphrase-multilingual-mpnet-base-v2_hh_MNRL\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector... | [
33,
61,
30,
58,
26,
73,
5,
5
] | [
"TAGS\n#sentence-transformers #safetensors #xlm-roberta #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us \n# assskelad/paraphrase-multilingual-mpnet-base-v2_hh_MNRL\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space... |
text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-10 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"multilingual",
"dataset:MBZUAI/Bactrian-X",
"arxiv:2404.04850",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T08:32:22+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
82,
146,
16
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository ... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi2-results2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown data... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi2-results2", "results": []}]} | ZappY-AI/phi2-math-orca | null | [
"peft",
"tensorboard",
"safetensors",
"phi",
"trl",
"sft",
"generated_from_trainer",
"custom_code",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-04T08:33:50+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #phi #trl #sft #generated_from_trainer #custom_code #base_model-microsoft/phi-2 #license-mit #region-us
|
# phi2-results2
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fol... | [
"# phi2-results2\n\nThis model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Tra... | [
"TAGS\n#peft #tensorboard #safetensors #phi #trl #sft #generated_from_trainer #custom_code #base_model-microsoft/phi-2 #license-mit #region-us \n",
"# phi2-results2\n\nThis model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended... | [
47,
26,
7,
9,
9,
4,
131,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #phi #trl #sft #generated_from_trainer #custom_code #base_model-microsoft/phi-2 #license-mit #region-us \n# phi2-results2\n\nThis model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.## Model description\n\nMore information needed## Intended uses & limitation... |
text-generation | transformers | # **Llama 2**
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B pretrained model, converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom.
## M... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "extra_gated_heading": "Access Llama 2 on Hugging Face", "extra_gated_description": "This is a form to enable access to Llama 2 on Hugging Face after you have been granted access from Meta. Please visit the [Meta website](https://ai.meta.... | dganochenko/Llama-2-7B | null | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"llama-2",
"en",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T08:35:43+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #safetensors #llama #text-generation #facebook #meta #llama-2 #en #autotrain_compatible #text-generation-inference #region-us
| Llama 2
=======
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B pretrained model, converted for the Hugging Face Transformers format. Links to other models can be found in the index at the bottom.
... | [] | [
"TAGS\n#transformers #pytorch #safetensors #llama #text-generation #facebook #meta #llama-2 #en #autotrain_compatible #text-generation-inference #region-us \n"
] | [
45
] | [
"TAGS\n#transformers #pytorch #safetensors #llama #text-generation #facebook #meta #llama-2 #en #autotrain_compatible #text-generation-inference #region-us \n"
] |
text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# malay_norm_checkpoint
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_t... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "malay_norm_checkpoint", "results": []}]} | mikhail-panzo/malay_norm_checkpoint | null | [
"transformers",
"tensorboard",
"safetensors",
"speecht5",
"text-to-audio",
"generated_from_trainer",
"base_model:microsoft/speecht5_tts",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T08:36:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us
| malay\_norm\_checkpoint
=======================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4922
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\... | [
52,
150,
5,
47
] | [
"TAGS\n#transformers #tensorboard #safetensors #speecht5 #text-to-audio #generated_from_trainer #base_model-microsoft/speecht5_tts #license-mit #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch... |
text-generation | transformers |
# 🌊 Nereus-7B
Nereus-7B excels at conversations, coding, and tasks that require structured output in JSON.
It is a merge of the following models using [mergekit](https://github.com/arcee-ai/mergekit):
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "cognitivecomputations/dolphin-2.8-mistral-7b-v02", "NousResearch/Hermes-2-Pro-Mistral-7B"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | saucam/Nereus-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"NousResearch/Hermes-2-Pro-Mistral-7B",
"conversational",
"base_model:cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"license:apache-2.0",
"autotrain_compat... | null | 2024-04-04T08:36:43+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #cognitivecomputations/dolphin-2.8-mistral-7b-v02 #NousResearch/Hermes-2-Pro-Mistral-7B #conversational #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation... | ![](URL
Nereus-7B
=========
Nereus-7B excels at conversations, coding, and tasks that require structured output in JSON.
It is a merge of the following models using mergekit:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* NousResearch/Hermes-2-Pro-Mistral-7B
Configuration
-------------
Eval Results
----... | [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #cognitivecomputations/dolphin-2.8-mistral-7b-v02 #NousResearch/Hermes-2-Pro-Mistral-7B #conversational #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-gene... | [
114
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #cognitivecomputations/dolphin-2.8-mistral-7b-v02 #NousResearch/Hermes-2-Pro-Mistral-7B #conversational #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-gene... |
text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-11 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"multilingual",
"dataset:MBZUAI/Bactrian-X",
"arxiv:2404.04850",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T08:37:46+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
82,
151,
16
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository ... |
text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-12 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"multilingual",
"dataset:MBZUAI/Bactrian-X",
"arxiv:2404.04850",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T08:43:06+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
82,
155,
16
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository ... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumb_ai2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T08:45:01+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
text-generation | null |
# Occiglot-7B-DE-EN-Instruct bf16 format
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-DE-EN-Instru... | {"language": ["en", "de"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-de-en-instruct-GGUF | null | [
"gguf",
"text-generation",
"en",
"de",
"license:apache-2.0",
"region:us"
] | null | 2024-04-04T08:46:51+00:00 | [] | [
"en",
"de"
] | TAGS
#gguf #text-generation #en #de #license-apache-2.0 #region-us
| !image/png
Occiglot-7B-DE-EN-Instruct bf16 format
======================================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-DE-EN-Instruct is a the instruct version of occiglot-7b-eu5, a generative language model with 7B parameters supporting German and English and trained by t... | [
"### Model details\n\n\n* Instruction tuned from: occiglot-7b-de-en\n* Model type: Causal decoder-only transformer language model\n* Languages: English, German, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contributors: Manuel Brack, Patrick Schramowski, Pedro Ortiz, Malte Ostendorff, Fabi... | [
"TAGS\n#gguf #text-generation #en #de #license-apache-2.0 #region-us \n",
"### Model details\n\n\n* Instruction tuned from: occiglot-7b-de-en\n* Model type: Causal decoder-only transformer language model\n* Languages: English, German, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contribu... | [
25,
114,
354,
6,
4,
194
] | [
"TAGS\n#gguf #text-generation #en #de #license-apache-2.0 #region-us \n### Model details\n\n\n* Instruction tuned from: occiglot-7b-de-en\n* Model type: Causal decoder-only transformer language model\n* Languages: English, German, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contributors: ... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Hre 5.1 - male voice - 600 steps, metric CER
This model is a fine-tuned version of [openai/whisper-small](https://... | {"language": ["hre"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["ntviet/Hre-audio-dataset5"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hre 5.1 - male voice - 600 steps, metric CER", "results": []}]} | ntviet/whisper-small-hre5.1-nam | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"hre",
"dataset:ntviet/Hre-audio-dataset5",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T08:47:08+00:00 | [] | [
"hre"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #hre #dataset-ntviet/Hre-audio-dataset5 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| Whisper Small Hre 5.1 - male voice - 600 steps, metric CER
==========================================================
This model is a fine-tuned version of openai/whisper-small on the Hre audio dataset 5 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0374
* Cer Ortho: 14.9533
* Cer: 6.1... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\\_with\\_warmup\n* lr\\_schedule... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #hre #dataset-ntviet/Hre-audio-dataset5 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were use... | [
71,
133,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #hre #dataset-ntviet/Hre-audio-dataset5 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used duri... |
text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-13 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"multilingual",
"dataset:MBZUAI/Bactrian-X",
"arxiv:2404.04850",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T08:48:55+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
82,
159,
16
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository ... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yuiseki/tinyllama-ml-wikipedia-aya-1.5T-v0.1 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T08:51:20+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | rizkiduwinanto/WEB_large | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-04T08:51:22+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #bart #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub.... | [
43,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #bart #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card h... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sql-code-llama
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-h... | {"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "sql-code-llama", "results": []}]} | Liu-Xiang/sql-code-llama | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:codellama/CodeLlama-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-04T08:51:48+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-codellama/CodeLlama-7b-hf #license-llama2 #region-us
| sql-code-llama
==============
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5643
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-codellama/CodeLlama-7b-hf #license-llama2 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* gr... | [
42,
138,
5,
55
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-codellama/CodeLlama-7b-hf #license-llama2 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient... |
text2text-generation | transformers |
# Model Card for mt5-simple-german-corpus
<!-- Provide a quick summary of what the model is/does. -->
This model aims to simplify German texts into plain German language. It belongs to the experiments done at the work of Stodden (2024, see below).
## Model Details
### Model Description
<!-- Provide a longer summ... | {"language": ["de"], "library_name": "transformers", "tags": ["text simplification", "plain language", "easy-to-read language", "sentence simplification"], "metrics": ["sari", "bleu", "bertscore"], "pipeline_tag": "text2text-generation"} | DEplain/mt5-simple-german-corpus | null | [
"transformers",
"pytorch",
"mt5",
"text2text-generation",
"text simplification",
"plain language",
"easy-to-read language",
"sentence simplification",
"de",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T08:54:09+00:00 | [] | [
"de"
] | TAGS
#transformers #pytorch #mt5 #text2text-generation #text simplification #plain language #easy-to-read language #sentence simplification #de #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Model Card for mt5-simple-german-corpus
=======================================
This model aims to simplify German texts into plain German language. It belongs to the experiments done at the work of Stodden (2024, see below).
Model Details
-------------
### Model Description
* Developed by: Regina Stodden
* Mod... | [
"### Model Description\n\n\n* Developed by: Regina Stodden\n* Model type: Text2Text Generation\n* Language(s) (NLP): German, Plain German, Easy-to-Read German\n* Finetuned from model: URL",
"### Model Sources\n\n\n* Repository: URL\n* Paper: Stodden (2024, to appear). \"Reproduction & Benchmarking of German Text ... | [
"TAGS\n#transformers #pytorch #mt5 #text2text-generation #text simplification #plain language #easy-to-read language #sentence simplification #de #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\n\n* Developed by: Regina Stodden\n* Model type: Text2Te... | [
59,
51,
69,
111,
196,
119,
61,
5,
82,
10,
47,
243,
145
] | [
"TAGS\n#transformers #pytorch #mt5 #text2text-generation #text simplification #plain language #easy-to-read language #sentence simplification #de #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\n\n* Developed by: Regina Stodden\n* Model type: Text2Text Gen... |
text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-14 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"multilingual",
"dataset:MBZUAI/Bactrian-X",
"arxiv:2404.04850",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T08:54:40+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
82,
164,
16
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository ... |
text-generation | transformers |
<img src="https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1/resolve/main/icon.jpeg"
alt="Turkcell LLM" width="300"/>
# Turkcell-LLM-7b-v1
This model is an extended version of a Mistral-based Large Language Model (LLM) for Turkish. It was trained on a cleaned Turkish raw dataset containing 5 billion tokens. The trai... | {"language": ["tr"], "license": "apache-2.0"} | TURKCELL/Turkcell-LLM-7b-v1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"tr",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T08:55:40+00:00 | [] | [
"tr"
] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
|
<img src="URL
alt="Turkcell LLM" width="300"/>
# Turkcell-LLM-7b-v1
This model is an extended version of a Mistral-based Large Language Model (LLM) for Turkish. It was trained on a cleaned Turkish raw dataset containing 5 billion tokens. The training process involved using the DORA method initially. Following this, ... | [
"# Turkcell-LLM-7b-v1\n\nThis model is an extended version of a Mistral-based Large Language Model (LLM) for Turkish. It was trained on a cleaned Turkish raw dataset containing 5 billion tokens. The training process involved using the DORA method initially. Following this, we utilized Turkish instruction sets creat... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n",
"# Turkcell-LLM-7b-v1\n\nThis model is an extended version of a Mistral-based Large Language Model (LLM) for Turkish... | [
51,
88,
59,
44,
48,
282
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #tr #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n# Turkcell-LLM-7b-v1\n\nThis model is an extended version of a Mistral-based Large Language Model (LLM) for Turkish. It w... |
null | null | # Kandinsky-3: Text-to-image diffusion model
[Kandinsky 3.0 Post](https://habr.com/ru/companies/sberbank/articles/775590/) | [Kandinsky 3.1 Post](https://habr.com/ru/companies/sberbank/articles/805337/) | [Project Page](https://ai-forever.github.io/Kandinsky-3) | [Generate](https://fusionbrain.a... | {"license": "apache-2.0"} | ai-forever/Kandinsky3.1 | null | [
"arxiv:2312.03511",
"arxiv:2311.17042",
"license:apache-2.0",
"region:us"
] | null | 2024-04-04T08:58:07+00:00 | [
"2312.03511",
"2311.17042"
] | [] | TAGS
#arxiv-2312.03511 #arxiv-2311.17042 #license-apache-2.0 #region-us
| # Kandinsky-3: Text-to-image diffusion model
Kandinsky 3.0 Post | Kandinsky 3.1 Post | Project Page | Generate | Telegram-bot | Technical Report | HuggingFace
# Kandinsky 3.1:
## Description:
We present Kandinsky 3.1, the follow-up to the Kandinsky 3.0 model, a large-scale text-to-image generatio... | [
"# Kandinsky-3: Text-to-image diffusion model\n\n\n\nKandinsky 3.0 Post | Kandinsky 3.1 Post | Project Page | Generate | Telegram-bot | Technical Report | HuggingFace",
"# Kandinsky 3.1:",
"## Description:\n\nWe present Kandinsky 3.1, the follow-up to the Kandinsky 3.0 model, a large-scale text-... | [
"TAGS\n#arxiv-2312.03511 #arxiv-2311.17042 #license-apache-2.0 #region-us \n",
"# Kandinsky-3: Text-to-image diffusion model\n\n\n\nKandinsky 3.0 Post | Kandinsky 3.1 Post | Project Page | Generate | Telegram-bot | Technical Report | HuggingFace",
"# Kandinsky 3.1:",
"## Description:\n\nWe pre... | [
34,
53,
8,
102,
134,
55,
23,
69,
91,
43,
71,
8,
137,
64,
77,
40,
22,
9,
9,
700,
81
] | [
"TAGS\n#arxiv-2312.03511 #arxiv-2311.17042 #license-apache-2.0 #region-us \n# Kandinsky-3: Text-to-image diffusion model\n\n\n\nKandinsky 3.0 Post | Kandinsky 3.1 Post | Project Page | Generate | Telegram-bot | Technical Report | HuggingFace# Kandinsky 3.1:## Description:\n\nWe present Kandinsky 3.1... |
reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Cartpolev2", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "me... | Andoni22/Cartpolev2 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-04T08:59:05+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
] | [
"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n",
"# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcemen... | [
32,
46
] | [
"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Lear... |
text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-15 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"multilingual",
"dataset:MBZUAI/Bactrian-X",
"arxiv:2404.04850",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T09:00:19+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
82,
168,
16
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository ... |
text-generation | transformers |
# TPM-28/Mistral-7B-Inst-v0.2-Alpaca-FR
## Model
Mistral-7B-Inst-v0.2-Alpaca-FR is a French language model, trained using the QLORA (Quantization Learning for Learned Optimized Representation Access) approach on the `TPM-28/alpaca-cleaned-fr` dataset.
The alpaca-cleaned-fr dataset is a French translation of the ... | {"language": ["fr"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Qlora", "mistral"], "datasets": ["TPM-28/alpaca-cleaned-fr"], "pipeline_tag": "text-generation"} | TPM-28/Mistral-7B-Inst-v0.2-Alpaca-FR | null | [
"transformers",
"gguf",
"Qlora",
"mistral",
"text-generation",
"fr",
"dataset:TPM-28/alpaca-cleaned-fr",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:01:20+00:00 | [] | [
"fr"
] | TAGS
#transformers #gguf #Qlora #mistral #text-generation #fr #dataset-TPM-28/alpaca-cleaned-fr #license-apache-2.0 #endpoints_compatible #region-us
|
# TPM-28/Mistral-7B-Inst-v0.2-Alpaca-FR
## Model
Mistral-7B-Inst-v0.2-Alpaca-FR is a French language model, trained using the QLORA (Quantization Learning for Learned Optimized Representation Access) approach on the 'TPM-28/alpaca-cleaned-fr' dataset.
The alpaca-cleaned-fr dataset is a French translation of the ... | [
"# TPM-28/Mistral-7B-Inst-v0.2-Alpaca-FR",
"## Model \n\nMistral-7B-Inst-v0.2-Alpaca-FR is a French language model, trained using the QLORA (Quantization Learning for Learned Optimized Representation Access) approach on the 'TPM-28/alpaca-cleaned-fr' dataset. \n\nThe alpaca-cleaned-fr dataset is a French transla... | [
"TAGS\n#transformers #gguf #Qlora #mistral #text-generation #fr #dataset-TPM-28/alpaca-cleaned-fr #license-apache-2.0 #endpoints_compatible #region-us \n",
"# TPM-28/Mistral-7B-Inst-v0.2-Alpaca-FR",
"## Model \n\nMistral-7B-Inst-v0.2-Alpaca-FR is a French language model, trained using the QLORA (Quantization L... | [
53,
25,
112,
33,
20
] | [
"TAGS\n#transformers #gguf #Qlora #mistral #text-generation #fr #dataset-TPM-28/alpaca-cleaned-fr #license-apache-2.0 #endpoints_compatible #region-us \n# TPM-28/Mistral-7B-Inst-v0.2-Alpaca-FR## Model \n\nMistral-7B-Inst-v0.2-Alpaca-FR is a French language model, trained using the QLORA (Quantization Learning for ... |
null | pruna-engine | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"library_name": "pruna-engine", "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"... | PrunaAI/FlagAlpha-Llama2-Chinese-7b-Chat-bnb-4bit-smashed | null | [
"pruna-engine",
"safetensors",
"llama",
"4-bit",
"region:us"
] | null | 2024-04-04T09:02:47+00:00 | [] | [] | TAGS
#pruna-engine #safetensors #llama #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#pruna-engine #safetensors #llama #4-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the doc... | [
21,
83,
458,
73,
19,
68,
36
] | [
"TAGS\n#pruna-engine #safetensors #llama #4-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documenta... |
text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | chpardhu/fine_tuned_bert-base-uncased | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:03:04+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ... | [
37,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been auto... |
text-generation | null |
# Qwen1.5-32B-Chat-GGUF
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models,... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat-GGUF/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/Qwen1.5-32B-Chat-GGUF | null | [
"gguf",
"chat",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-04T09:05:43+00:00 | [] | [
"en"
] | TAGS
#gguf #chat #text-generation #en #license-other #region-us
| Qwen1.5-32B-Chat-GGUF
=====================
Introduction
------------
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, ... | [] | [
"TAGS\n#gguf #chat #text-generation #en #license-other #region-us \n"
] | [
21
] | [
"TAGS\n#gguf #chat #text-generation #en #license-other #region-us \n"
] |
text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-16 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"multilingual",
"dataset:MBZUAI/Bactrian-X",
"arxiv:2404.04850",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T09:05:45+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
82,
172,
16
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository ... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | selvamathan-rampedup/RampedUp-Mistral-7B-v0.4 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T09:06:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model th... | [
47,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... |
text-to-image | diffusers |
# BRIA 2.3 ControlNet Canny Model Card
BRIA 2.3 ControlNet-Canny, trained on the foundation of [BRIA 2.3 Text-to-Image](https://huggingface.co/briaai/BRIA-2.3), enables the generation of high-quality images guided by a textual prompt and the extracted edge map from an input image. This allows for the creation of dif... | {"license": "other", "tags": ["text-to-image", "controlnet model", "legal liability", "commercial use"], "license_name": "bria-2.3", "license_link": "https://bria.ai/bria-huggingface-model-license-agreement/", "inference": false, "extra_gated_prompt": "This model weights by BRIA AI can be obtained after a commercial li... | briaai/BRIA-2.3-ControlNet-Canny | null | [
"diffusers",
"text-to-image",
"controlnet model",
"legal liability",
"commercial use",
"license:other",
"region:us"
] | null | 2024-04-04T09:06:11+00:00 | [] | [] | TAGS
#diffusers #text-to-image #controlnet model #legal liability #commercial use #license-other #region-us
|
# BRIA 2.3 ControlNet Canny Model Card
BRIA 2.3 ControlNet-Canny, trained on the foundation of BRIA 2.3 Text-to-Image, enables the generation of high-quality images guided by a textual prompt and the extracted edge map from an input image. This allows for the creation of different variations of an image, all sharing... | [
"# BRIA 2.3 ControlNet Canny Model Card\n\n\nBRIA 2.3 ControlNet-Canny, trained on the foundation of BRIA 2.3 Text-to-Image, enables the generation of high-quality images guided by a textual prompt and the extracted edge map from an input image. This allows for the creation of different variations of an image, all ... | [
"TAGS\n#diffusers #text-to-image #controlnet model #legal liability #commercial use #license-other #region-us \n",
"# BRIA 2.3 ControlNet Canny Model Card\n\n\nBRIA 2.3 ControlNet-Canny, trained on the foundation of BRIA 2.3 Text-to-Image, enables the generation of high-quality images guided by a textual prompt a... | [
28,
179,
77,
36,
8
] | [
"TAGS\n#diffusers #text-to-image #controlnet model #legal liability #commercial use #license-other #region-us \n# BRIA 2.3 ControlNet Canny Model Card\n\n\nBRIA 2.3 ControlNet-Canny, trained on the foundation of BRIA 2.3 Text-to-Image, enables the generation of high-quality images guided by a textual prompt and the... |
text-generation | transformers | # [MaziyarPanahi/medicine-chat-GGUF](https://huggingface.co/MaziyarPanahi/medicine-chat-GGUF)
- Model creator: [AdaptLLM](https://huggingface.co/AdaptLLM)
- Original model: [AdaptLLM/medicine-chat](https://huggingface.co/AdaptLLM/medicine-chat)
## Description
[MaziyarPanahi/medicine-chat-GGUF](https://huggingface.co/M... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "pytorch", "safetensors", "llama", "text-generation", "biology", "medical", "en", "dataset:EleutherAI/pile", "dataset:Open-Orca/OpenOrca", "dataset:GAIR/lima", "dataset:WizardLM/WizardLM_evol_instruct_V2_196k", "arxiv:2... | MaziyarPanahi/medicine-chat-GGUF | null | [
"transformers",
"gguf",
"mistral",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"GGUF",
"pytorch",
"safetensors",
"llama",
"text-generation",
"biology",
"medical",
"en",
"dataset:EleutherAI/pile",
"dataset:Open-Orca/OpenOrca",
"dataset:GAIR/lima",
"dat... | null | 2024-04-04T09:08:06+00:00 | [
"2309.09530"
] | [] | TAGS
#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #pytorch #safetensors #llama #text-generation #biology #medical #en #dataset-EleutherAI/pile #dataset-Open-Orca/OpenOrca #dataset-GAIR/lima #dataset-WizardLM/WizardLM_evol_instruct_V2_196k #arxiv-2309.09530 #license-llama2 #mod... | # MaziyarPanahi/medicine-chat-GGUF
- Model creator: AdaptLLM
- Original model: AdaptLLM/medicine-chat
## Description
MaziyarPanahi/medicine-chat-GGUF contains GGUF format model files for AdaptLLM/medicine-chat.
## How to use
Thanks to TheBloke for preparing an amazing README on how to use GGUF models:
### About GGUF... | [
"# MaziyarPanahi/medicine-chat-GGUF\n- Model creator: AdaptLLM\n- Original model: AdaptLLM/medicine-chat",
"## Description\nMaziyarPanahi/medicine-chat-GGUF contains GGUF format model files for AdaptLLM/medicine-chat.",
"## How to use\nThanks to TheBloke for preparing an amazing README on how to use GGUF models... | [
"TAGS\n#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #pytorch #safetensors #llama #text-generation #biology #medical #en #dataset-EleutherAI/pile #dataset-Open-Orca/OpenOrca #dataset-GAIR/lima #dataset-WizardLM/WizardLM_evol_instruct_V2_196k #arxiv-2309.09530 #license-llama... | [
171,
33,
33,
25,
392,
310,
83,
75,
210,
172,
47,
82,
37,
20,
14,
54
] | [
"TAGS\n#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #pytorch #safetensors #llama #text-generation #biology #medical #en #dataset-EleutherAI/pile #dataset-Open-Orca/OpenOrca #dataset-GAIR/lima #dataset-WizardLM/WizardLM_evol_instruct_V2_196k #arxiv-2309.09530 #license-llama... |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Undi95/MythoMax-L2-Kimiko-v2-13b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned ... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "Undi95/MythoMax-L2-Kimiko-v2-13b", "quantized_by": "mradermacher"} | mradermacher/MythoMax-L2-Kimiko-v2-13b-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Undi95/MythoMax-L2-Kimiko-v2-13b",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:08:24+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Undi95/MythoMax-L2-Kimiko-v2-13b #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-Undi95/MythoMax-L2-Kimiko-v2-13b #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
55
] | [
"TAGS\n#transformers #gguf #en #base_model-Undi95/MythoMax-L2-Kimiko-v2-13b #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
null | transformers | [François Remy](https://fremycompany.com), [Pieter Delobelle](https://pieter.ai), Hayastan Avetisyan, Alfiya Khabibullina, [Miryam de Lhoneux](https://people.cs.kuleuven.be/~miryam.delhoneux/), [Thomas Demeester](https://tdmeeste.github.io)
<p align="center">
<img src="https://huggingface.co/DTAI-KULeuven/tweety-... | {"language": ["nl"], "license": "apache-2.0", "library_name": "transformers"} | Tweeties/tweety-7b-dutch-v24a | null | [
"transformers",
"nl",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:09:35+00:00 | [] | [
"nl"
] | TAGS
#transformers #nl #license-apache-2.0 #endpoints_compatible #region-us
| François Remy, Pieter Delobelle, Hayastan Avetisyan, Alfiya Khabibullina, Miryam de Lhoneux, Thomas Demeester
<p align="center">
<img src="URL alt="Tweety-7b-dutch: A Dutch Large Language Model" width="20%">
</p>
# Model Card for tweety-7b-dutch
tweety-7b-dutch is a foundation model with a focus on the Dutch l... | [
"# Model Card for tweety-7b-dutch\n\ntweety-7b-dutch is a foundation model with a focus on the Dutch language, incorporating a Dutch tokenizer for better understanding and generation of Dutch text. It's built on the mistral architecture, employing flash attention for efficient processing within a context window of ... | [
"TAGS\n#transformers #nl #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Model Card for tweety-7b-dutch\n\ntweety-7b-dutch is a foundation model with a focus on the Dutch language, incorporating a Dutch tokenizer for better understanding and generation of Dutch text. It's built on the mistral archite... | [
22,
99,
4,
113,
43,
4,
5,
39
] | [
"TAGS\n#transformers #nl #license-apache-2.0 #endpoints_compatible #region-us \n# Model Card for tweety-7b-dutch\n\ntweety-7b-dutch is a foundation model with a focus on the Dutch language, incorporating a Dutch tokenizer for better understanding and generation of Dutch text. It's built on the mistral architecture,... |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | Dema99/Unit3 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-04T09:10:19+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo... | [
37,
81,
76,
10,
6,
3
] | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nT... |
text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - Exc3ss/akshay_model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights wer... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true, "instance_prompt": "a photo of Akshay Kumar"} | Exc3ss/akshay_model | null | [
"diffusers",
"tensorboard",
"safetensors",
"text-to-image",
"dreambooth",
"diffusers-training",
"stable-diffusion",
"stable-diffusion-diffusers",
"base_model:CompVis/stable-diffusion-v1-4",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:... | null | 2024-04-04T09:10:23+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #text-to-image #dreambooth #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# DreamBooth - Exc3ss/akshay_model
This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of Akshay Kumar using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limitations... | [
"# DreamBooth - Exc3ss/akshay_model\n\nThis is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of Akshay Kumar using DreamBooth.\nYou can find some example images in the following. \n\n\n\nDreamBooth for the text encoder was enabled: False.",
"## Intended uses & ... | [
"TAGS\n#diffusers #tensorboard #safetensors #text-to-image #dreambooth #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# DreamBooth - Exc3ss/akshay_m... | [
83,
78,
6,
7,
23,
17
] | [
"TAGS\n#diffusers #tensorboard #safetensors #text-to-image #dreambooth #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# DreamBooth - Exc3ss/akshay_model\n... |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | datasciathlete/ke-t5-base-aihub-nmt-short-bs8-lr5e4-wd001-e3 | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T09:11:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
46,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. Thi... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_deberta_medium
This model is a fine-tuned version of [microsoft/deberta-v2-xxlarge](https://huggingface.co/microsoft/deb... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-v2-xxlarge", "model-index": [{"name": "results_deberta_medium", "results": []}]} | Elkelouizajo/deBERTa_mnli_medium_1K | null | [
"transformers",
"safetensors",
"deberta-v2",
"text-classification",
"generated_from_trainer",
"base_model:microsoft/deberta-v2-xxlarge",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:13:19+00:00 | [] | [] | TAGS
#transformers #safetensors #deberta-v2 #text-classification #generated_from_trainer #base_model-microsoft/deberta-v2-xxlarge #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# results_deberta_medium
This model is a fine-tuned version of microsoft/deberta-v2-xxlarge on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
"# results_deberta_medium\n\nThis model is a fine-tuned version of microsoft/deberta-v2-xxlarge on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training ... | [
"TAGS\n#transformers #safetensors #deberta-v2 #text-classification #generated_from_trainer #base_model-microsoft/deberta-v2-xxlarge #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"# results_deberta_medium\n\nThis model is a fine-tuned version of microsoft/deberta-v2-xxlarge on an unknown... | [
59,
35,
7,
9,
9,
4,
96,
5,
47
] | [
"TAGS\n#transformers #safetensors #deberta-v2 #text-classification #generated_from_trainer #base_model-microsoft/deberta-v2-xxlarge #license-mit #autotrain_compatible #endpoints_compatible #region-us \n# results_deberta_medium\n\nThis model is a fine-tuned version of microsoft/deberta-v2-xxlarge on an unknown datas... |
text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712222008569x717981977468433500
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["THEUS/Six_Arms"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712222008569x717981977468433500 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:THEUS/Six_Arms",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-04T09:13:41+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/Six_Arms #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712222008569x717981977468433500
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
"# LoRA DreamBooth - squaadinc/1712222008569x717981977468433500\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer. \nThe weights were trained on the concept prompt: \n \nUse this keyword to trigger your custom model in your prompts. \nLoRA for the te... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/Six_Arms #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n",
"# LoRA DreamBooth - squaadinc/1712222008569x717981977468433500\nThese are LoRA adaption weights for stabilityai/stable-diffusion-... | [
61,
128,
50
] | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/Six_Arms #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us \n# LoRA DreamBooth - squaadinc/1712222008569x717981977468433500\nThese are LoRA adaption weights for stabilityai/stable-diffusion-xl-bas... |
text-generation | null |
# Occiglot-7B-ES-EN-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-ES-EN-Instruct** is a th... | {"language": ["en", "es"], "license": "apache-2.0", "tags": ["gguf"], "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-es-en-instruct-GGUF | null | [
"gguf",
"text-generation",
"en",
"es",
"license:apache-2.0",
"region:us"
] | null | 2024-04-04T09:15:24+00:00 | [] | [
"en",
"es"
] | TAGS
#gguf #text-generation #en #es #license-apache-2.0 #region-us
| !image/png
Occiglot-7B-ES-EN-Instruct
==========================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-ES-EN-Instruct is a the instruct version of occiglot-7b-es-en, a generative language model with 7B parameters supporting the Spanish and English and trained by the Occiglot Resea... | [
"### Model details\n\n\n* Instruction tuned from: occiglot-7b-es-en\n* Model type: Causal decoder-only transformer language model\n* Languages: English, Spanish, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contributors: Manuel Brack, Patrick Schramowski, Pedro Ortiz, Malte Ostendorff, Fab... | [
"TAGS\n#gguf #text-generation #en #es #license-apache-2.0 #region-us \n",
"### Model details\n\n\n* Instruction tuned from: occiglot-7b-es-en\n* Model type: Causal decoder-only transformer language model\n* Languages: English, Spanish, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contrib... | [
25,
114,
322,
6,
4,
194
] | [
"TAGS\n#gguf #text-generation #en #es #license-apache-2.0 #region-us \n### Model details\n\n\n* Instruction tuned from: occiglot-7b-es-en\n* Model type: Causal decoder-only transformer language model\n* Languages: English, Spanish, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contributors:... |
text-generation | transformers | # AlphaBlind Tiny v0.001
Our Proof-of-Concept (POC) for the LLM-ADE framework (https://arxiv.org/abs/2404.13028). A very early, initial version of TinyLlama processing and ingesting llm-ade-fin_data-subset-earnings-10k and other financial data with the LLM-ADE framework.
Note: This model has not been thoroughly teste... | {"language": ["en"], "license": "mit", "tags": ["finance"], "pipeline_tag": "text-generation", "widget": [{"example_title": "Easy", "text": "<|user|>\nHow do call options benefit the buyer?\n<|assistant|>\n"}, {"example_title": "Medium", "text": "<|user|>\nWhy might a trader choose to quickly exit a losing position, ev... | InvestmentResearchAI/LLM-ADE_tiny-v0.001 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"finance",
"en",
"arxiv:2404.13028",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T09:16:40+00:00 | [
"2404.13028"
] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #finance #en #arxiv-2404.13028 #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| # AlphaBlind Tiny v0.001
Our Proof-of-Concept (POC) for the LLM-ADE framework (URL A very early, initial version of TinyLlama processing and ingesting llm-ade-fin_data-subset-earnings-10k and other financial data with the LLM-ADE framework.
Note: This model has not been thoroughly tested, and is very small - it can r... | [
"# AlphaBlind Tiny v0.001\n\nOur Proof-of-Concept (POC) for the LLM-ADE framework (URL A very early, initial version of TinyLlama processing and ingesting llm-ade-fin_data-subset-earnings-10k and other financial data with the LLM-ADE framework.\n\nNote: This model has not been thoroughly tested, and is very small -... | [
"TAGS\n#transformers #safetensors #llama #text-generation #finance #en #arxiv-2404.13028 #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n",
"# AlphaBlind Tiny v0.001\n\nOur Proof-of-Concept (POC) for the LLM-ADE framework (URL A very early, initial versi... | [
56,
110
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #finance #en #arxiv-2404.13028 #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n# AlphaBlind Tiny v0.001\n\nOur Proof-of-Concept (POC) for the LLM-ADE framework (URL A very early, initial version of ... |
text-classification | transformers |
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the [ACCORD](https://accordproject.eu/) project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
It consists of several pre-trained/fine-tuned machine learning mo... | {"language": ["en"], "license": "apache-2.0", "datasets": ["ACCORD-NLP/CODE-ACCORD-Relations"]} | ACCORD-NLP/re-albert-large | null | [
"transformers",
"pytorch",
"albert",
"text-classification",
"en",
"dataset:ACCORD-NLP/CODE-ACCORD-Relations",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:18:50+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #albert #text-classification #en #dataset-ACCORD-NLP/CODE-ACCORD-Relations #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# ACCORD-NLP
ACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.
It consists of several pre-trained/fine-tuned machine learning models to perform the following... | [
"# ACCORD-NLP\n\nACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automated Compliance Checking (ACC) within the Architecture, Engineering, and Construction (AEC) sector.\nIt consists of several pre-trained/fine-tuned machine learning models to perform the fo... | [
"TAGS\n#transformers #pytorch #albert #text-classification #en #dataset-ACCORD-NLP/CODE-ACCORD-Relations #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# ACCORD-NLP\n\nACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automa... | [
52,
114,
3,
5,
5,
7,
11,
27
] | [
"TAGS\n#transformers #pytorch #albert #text-classification #en #dataset-ACCORD-NLP/CODE-ACCORD-Relations #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# ACCORD-NLP\n\nACCORD-NLP is a Natural Language Processing (NLP) framework developed by the ACCORD project to facilitate Automated Co... |
text-classification | transformers |
# Bank User Query Intent Classification Model
This model classifies queries into twelve distinct buckets:
- Sample Label: Category, Type, Subtype
- **Label 0**: DEPOSIT, SB/ CA/TERM DEPOSIT ACCOUNTS, Dispute in charges deducted
- **Label 1**: DEPOSIT, SB/ CA/TERM DEPOSIT ACCOUNTS, Minimum Balance Charges related
- *... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["bank user complaint", "intent-classifier"], "metrics": ["accuracy"], "pipeline_tag": "text-classification", "widget": [{"text": "I was charged Rs. 500 for an SMS alert that I did not request. Can you please reverse this charge and deactiva... | KunalEsM/bank_complaint_intent_classifier_v2 | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"bank user complaint",
"intent-classifier",
"en",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:18:55+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #distilbert #text-classification #bank user complaint #intent-classifier #en #license-mit #autotrain_compatible #endpoints_compatible #region-us
| Bank User Query Intent Classification Model
===========================================
This model classifies queries into twelve distinct buckets:
* Sample Label: Category, Type, Subtype
* Label 0: DEPOSIT, SB/ CA/TERM DEPOSIT ACCOUNTS, Dispute in charges deducted
* Label 1: DEPOSIT, SB/ CA/TERM DEPOSIT ACCOUNTS, ... | [] | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #bank user complaint #intent-classifier #en #license-mit #autotrain_compatible #endpoints_compatible #region-us \n"
] | [
44
] | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #bank user complaint #intent-classifier #en #license-mit #autotrain_compatible #endpoints_compatible #region-us \n"
] |
reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | alekom/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-04T09:20:49+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
"TAGS\n#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this envi... | [
26,
17,
57,
63
] | [
"TAGS\n#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n## Downloading the model\n\nAfter installing Sample-Factory, download the model with:## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yuiseki/tinyllama-ja-wikipedia-1.5T-v0.2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T09:24:52+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
44,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This ... |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/dmis-lab/meerkat-7b-v1.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["medical", "small LM", "instruction-tuned", "usmle", "chain-of-thought", "synthetic data"], "base_model": "dmis-lab/meerkat-7b-v1.0", "quantized_by": "mradermacher"} | mradermacher/meerkat-7b-v1.0-GGUF | null | [
"transformers",
"gguf",
"medical",
"small LM",
"instruction-tuned",
"usmle",
"chain-of-thought",
"synthetic data",
"en",
"base_model:dmis-lab/meerkat-7b-v1.0",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:27:33+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #medical #small LM #instruction-tuned #usmle #chain-of-thought #synthetic data #en #base_model-dmis-lab/meerkat-7b-v1.0 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #medical #small LM #instruction-tuned #usmle #chain-of-thought #synthetic data #en #base_model-dmis-lab/meerkat-7b-v1.0 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
74
] | [
"TAGS\n#transformers #gguf #medical #small LM #instruction-tuned #usmle #chain-of-thought #synthetic data #en #base_model-dmis-lab/meerkat-7b-v1.0 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/facebook-xglm-7.5B-bnb-8bit-smashed | null | [
"transformers",
"safetensors",
"xglm",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"8-bit",
"region:us"
] | null | 2024-04-04T09:28:33+00:00 | [] | [] | TAGS
#transformers #safetensors #xglm #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #xglm #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #8-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Reques... | [
38,
83,
454,
69,
19,
64,
36
] | [
"TAGS\n#transformers #safetensors #xglm #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #8-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request acce... |
text-generation | transformers | checkpoints for
```
@article{song2023moviechat,
title={MovieChat: From Dense Token to Sparse Memory for Long Video Understanding},
author={Song, Enxin and Chai, Wenhao and Wang, Guanhong and Zhang, Yucheng and Zhou, Haoyang and Wu, Feiyang and Guo, Xun and Ye, Tian and Lu, Yan and Hwang, Jenq-Neng and others},
j... | {} | lmms-lab/MovieChat-ckpt | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T09:30:19+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| checkpoints for
- 7B is the vicuna v0 ckpt after applying delta on llama.
- Others are the ckpts acquire from the link on GitHub.
Prepared checkpoints here so that people can better acquire their models | [] | [
"TAGS\n#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
35
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | mazmaz55555/mistralproject | null | [
"arxiv:1910.09700",
"region:us"
] | null | 2024-04-04T09:32:00+00:00 | [
"1910.09700"
] | [] | TAGS
#arxiv-1910.09700 #region-us
|
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model ... | [
"# Model Card for Model ID\n\n\n\nThis modelcard aims to be a base template for new models. It has been generated using this raw template.",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- Licens... | [
"TAGS\n#arxiv-1910.09700 #region-us \n",
"# Model Card for Model ID\n\n\n\nThis modelcard aims to be a base template for new models. It has been generated using this raw template.",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Mo... | [
15,
28,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#arxiv-1910.09700 #region-us \n# Model Card for Model ID\n\n\n\nThis modelcard aims to be a base template for new models. It has been generated using this raw template.## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Lang... |
null | pruna-engine | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"library_name": "pruna-engine", "tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20wi... | PrunaAI/uukuguy-speechless-code-mistral-7b-v1.0-bnb-4bit-smashed | null | [
"pruna-engine",
"safetensors",
"mistral",
"pruna-ai",
"4-bit",
"region:us"
] | null | 2024-04-04T09:33:01+00:00 | [] | [] | TAGS
#pruna-engine #safetensors #mistral #pruna-ai #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#pruna-engine #safetensors #mistral #pruna-ai #4-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- ... | [
26,
83,
458,
78,
19,
73,
36
] | [
"TAGS\n#pruna-engine #safetensors #mistral #pruna-ai #4-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read t... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# code-llama-7b-text-to-sql
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/phi-2", "model-index": [{"name": "code-llama-7b-text-to-sql", "results": []}]} | ramkrish120595/code-llama-7b-text-to-sql | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-04T09:33:25+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-2 #license-mit #region-us
|
# code-llama-7b-text-to-sql
This model is a fine-tuned version of microsoft/phi-2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpara... | [
"# code-llama-7b-text-to-sql\n\nThis model is a fine-tuned version of microsoft/phi-2 on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedu... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-2 #license-mit #region-us \n",
"# code-llama-7b-text-to-sql\n\nThis model is a fine-tuned version of microsoft/phi-2 on the generator dataset.",
"## Model description\n\nMore information needed"... | [
46,
34,
7,
9,
9,
4,
135,
5,
55
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-2 #license-mit #region-us \n# code-llama-7b-text-to-sql\n\nThis model is a fine-tuned version of microsoft/phi-2 on the generator dataset.## Model description\n\nMore information needed## Intended u... |
text-to-audio | transformers |
# MusicGen - Melody - Large 3.3B
MusicGen is a text-to-music model capable of generating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike existing metho... | {"license": "cc-by-nc-4.0", "tags": ["musicgen"], "inference": false} | marban/musicgen-melody-large | null | [
"transformers",
"safetensors",
"musicgen_melody",
"text-to-audio",
"musicgen",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:33:35+00:00 | [
"2306.05284"
] | [] | TAGS
#transformers #safetensors #musicgen_melody #text-to-audio #musicgen #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| MusicGen - Melody - Large 3.3B
==============================
MusicGen is a text-to-music model capable of generating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at ... | [] | [
"TAGS\n#transformers #safetensors #musicgen_melody #text-to-audio #musicgen #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
53
] | [
"TAGS\n#transformers #safetensors #musicgen_melody #text-to-audio #musicgen #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle30 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:34:43+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
null | pruna-engine | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"library_name": "pruna-engine", "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"... | PrunaAI/qqlabs-llama2_esci_v1-bnb-4bit-smashed | null | [
"pruna-engine",
"safetensors",
"llama",
"4-bit",
"region:us"
] | null | 2024-04-04T09:35:24+00:00 | [] | [] | TAGS
#pruna-engine #safetensors #llama #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#pruna-engine #safetensors #llama #4-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the doc... | [
21,
83,
458,
73,
19,
68,
36
] | [
"TAGS\n#pruna-engine #safetensors #llama #4-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documenta... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Edgar404/donut-lora-r8-exp | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:35:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
26,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
text-generation | null |
# Occiglot-7B-EU5-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-EU5-Instruct** is a the in... | {"language": ["en", "es", "de", "fr", "it"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-eu5-instruct-GGUF | null | [
"gguf",
"text-generation",
"en",
"es",
"de",
"fr",
"it",
"license:apache-2.0",
"region:us"
] | null | 2024-04-04T09:39:34+00:00 | [] | [
"en",
"es",
"de",
"fr",
"it"
] | TAGS
#gguf #text-generation #en #es #de #fr #it #license-apache-2.0 #region-us
| !image/png
Occiglot-7B-EU5-Instruct
========================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-EU5-Instruct is a the instruct version of occiglot-7b-eu5, a generative language model with 7B parameters supporting the top-5 EU languages (English, Spanish, French, German, and Ita... | [
"### Model details\n\n\n* Instruction tuned from: occiglot-7b-eu5\n* Model type: Causal decoder-only transformer language model\n* Languages: English, Spanish, French, German, Italian, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contributors: Manuel Brack, Patrick Schramowski, Pedro Ortiz... | [
"TAGS\n#gguf #text-generation #en #es #de #fr #it #license-apache-2.0 #region-us \n",
"### Model details\n\n\n* Instruction tuned from: occiglot-7b-eu5\n* Model type: Causal decoder-only transformer language model\n* Languages: English, Spanish, French, German, Italian, and code.\n* License: Apache 2.0\n* Compute... | [
31,
119,
471,
6,
4,
4,
4,
4,
191
] | [
"TAGS\n#gguf #text-generation #en #es #de #fr #it #license-apache-2.0 #region-us \n### Model details\n\n\n* Instruction tuned from: occiglot-7b-eu5\n* Model type: Causal decoder-only transformer language model\n* Languages: English, Spanish, French, German, Italian, and code.\n* License: Apache 2.0\n* Compute resou... |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="IyanuMicheal/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additiona... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | IyanuMicheal/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-04T09:39:43+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
| [
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] | [
"TAGS\n#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n",
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] | [
35,
33
] | [
"TAGS\n#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] |
null | transformers |
# Uploaded model
- **Developed by:** AshScholar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | AshScholar/StegLLM | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:40:03+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: AshScholar
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
Based on Anthropic's research on Sleeper Agents, Learn more at:
URL
| [
"# Uploaded model\n\n- Developed by: AshScholar\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>\nBased on Anthropic's research on Sleeper Agents, Lear... | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: AshScholar\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-... | [
70,
105
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-instruct-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: AshScholar\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-ins... |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_food_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "my_awesome_food_model", "results": []}]} | DiegoLarra/my_awesome_food_model | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"base_model:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:42:24+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_food\_model
========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6666
* Accuracy: 0.887
Model description
-----------------
More information needed
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training... | [
65,
142,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\... |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-large-dog
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-large-v2", "model-index": [{"name": "whisper-large-dog", "results": []}]} | unanam/whisper-large-dog | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-large-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:42:36+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-large-v2 #license-apache-2.0 #endpoints_compatible #region-us
| whisper-large-dog
=================
This model is a fine-tuned version of openai/whisper-large-v2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2858
* Cer: 8.8124
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 4e-06\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-large-v2 #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_... | [
55,
149,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-large-v2 #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: ... |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/fblgit/UNAversal-8x7B-v1beta
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/UNAversal-8x7B-v1beta-GGUF
## Usage
If you are unsure how to use GGUF files, refer t... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "tags": ["UNA", "juanako", "mixtral", "MoE"], "base_model": "fblgit/UNAversal-8x7B-v1beta", "quantized_by": "mradermacher"} | mradermacher/UNAversal-8x7B-v1beta-i1-GGUF | null | [
"transformers",
"gguf",
"UNA",
"juanako",
"mixtral",
"MoE",
"en",
"base_model:fblgit/UNAversal-8x7B-v1beta",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:42:55+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #UNA #juanako #mixtral #MoE #en #base_model-fblgit/UNAversal-8x7B-v1beta #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #UNA #juanako #mixtral #MoE #en #base_model-fblgit/UNAversal-8x7B-v1beta #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us \n"
] | [
64
] | [
"TAGS\n#transformers #gguf #UNA #juanako #mixtral #MoE #en #base_model-fblgit/UNAversal-8x7B-v1beta #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us \n"
] |
null | pruna-engine | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"library_name": "pruna-engine", "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"... | PrunaAI/jphme-em_german_leo_mistral-bnb-4bit-smashed | null | [
"pruna-engine",
"safetensors",
"mistral",
"4-bit",
"region:us"
] | null | 2024-04-04T09:44:29+00:00 | [] | [] | TAGS
#pruna-engine #safetensors #mistral #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#pruna-engine #safetensors #mistral #4-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the d... | [
21,
83,
458,
71,
19,
66,
36
] | [
"TAGS\n#pruna-engine #safetensors #mistral #4-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documen... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://hugg... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["matthews_correlation"], "base_model": "distilbert/distilbert-base-uncased-finetuned-sst-2-english", "model-index": [{"name": "my_awesome_model", "results": []}]} | yaelmd/my_awesome_model | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-uncased-finetuned-sst-2-english",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:52:22+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased-finetuned-sst-2-english #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_model
==================
This model is a fine-tuned version of distilbert/distilbert-base-uncased-finetuned-sst-2-english on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7867
* Matthews Correlation: 0.7109
Model description
-----------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased-finetuned-sst-2-english #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparam... | [
74,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased-finetuned-sst-2-english #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters ... |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Fredithefish/AuroraRP-8x7B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/AuroraRP-8x7B-GGUF
## Usage
If you are unsure how to use GGUF files, refer to one of [... | {"language": ["en"], "library_name": "transformers", "tags": ["roleplay", "rp", "mergekit", "merge"], "base_model": "Fredithefish/AuroraRP-8x7B", "quantized_by": "mradermacher"} | mradermacher/AuroraRP-8x7B-i1-GGUF | null | [
"transformers",
"gguf",
"roleplay",
"rp",
"mergekit",
"merge",
"en",
"base_model:Fredithefish/AuroraRP-8x7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:52:42+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #roleplay #rp #mergekit #merge #en #base_model-Fredithefish/AuroraRP-8x7B #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #roleplay #rp #mergekit #merge #en #base_model-Fredithefish/AuroraRP-8x7B #endpoints_compatible #region-us \n"
] | [
46
] | [
"TAGS\n#transformers #gguf #roleplay #rp #mergekit #merge #en #base_model-Fredithefish/AuroraRP-8x7B #endpoints_compatible #region-us \n"
] |
image-classification | transformers |
# BlurOrBokehV3
Blur Or Bokeh Model using Vit Base Path Google Transformer Architecture | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | TTNVXX/BlurOrBokehV3 | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"pytorch",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:53:08+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# BlurOrBokehV3
Blur Or Bokeh Model using Vit Base Path Google Transformer Architecture | [
"# BlurOrBokehV3\n\n\nBlur Or Bokeh Model using Vit Base Path Google Transformer Architecture"
] | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"# BlurOrBokehV3\n\n\nBlur Or Bokeh Model using Vit Base Path Google Transformer Architecture"
] | [
44,
23
] | [
"TAGS\n#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us \n# BlurOrBokehV3\n\n\nBlur Or Bokeh Model using Vit Base Path Google Transformer Architecture"
] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base_ag_news2
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown da... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base_ag_news2", "results": []}]} | Jupp2/roberta-base_ag_news2 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:53:11+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| roberta-base\_ag\_news2
=======================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4127
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate:... | [
48,
117,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/stable_boy_xmen2 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T09:57:48+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the ... | [
41,
6,
4,
75,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ca... |
text-generation | transformers |
아수라발발타 아수라발발타
손은 눈보다 빠르다! 무슨 패를 잡고 싶니?
아수라발발타 아수라발발타
돈을 벌고 싶니?
아수라발발타 아수라발발타
부자가되고 싶니?
부자가되고 싶어?
화투하면 대한민국에 딱 세 명이야. 경상도에 짝귀, 전라도에 아귀, 기카고 전국적으로 나! 예전에 짝귀랑 아귀가 한판 붙었는데, 아귀가 짝귀의 귀를 짤라 버렸어. 기래서 짝귀야
# Aguie-chat-proto
<!-- Provide a quick summary of what the model is/does. -->
<!--This modelcard aims to be a base t... | {"language": ["ko", "en"], "license": "cc-by-nc-nd-4.0"} | Heoni/Aguie-chat-proto | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"en",
"license:cc-by-nc-nd-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T10:01:50+00:00 | [] | [
"ko",
"en"
] | TAGS
#transformers #pytorch #llama #text-generation #ko #en #license-cc-by-nc-nd-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
아수라발발타 아수라발발타
손은 눈보다 빠르다! 무슨 패를 잡고 싶니?
아수라발발타 아수라발발타
돈을 벌고 싶니?
아수라발발타 아수라발발타
부자가되고 싶니?
부자가되고 싶어?
화투하면 대한민국에 딱 세 명이야. 경상도에 짝귀, 전라도에 아귀, 기카고 전국적으로 나! 예전에 짝귀랑 아귀가 한판 붙었는데, 아귀가 짝귀의 귀를 짤라 버렸어. 기래서 짝귀야
# Aguie-chat-proto
### Model Description
This model is a fine-tuned version of LLama2-koen-13b
### Trained Da... | [
"# Aguie-chat-proto",
"### Model Description\n\n\n\nThis model is a fine-tuned version of LLama2-koen-13b",
"### Trained Data\n\n- 3,000,000 korean instruction following set",
"### Prompt Template",
"### License\n\nThis model is licensed under the cc-by-nc-nd-4.0."
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #ko #en #license-cc-by-nc-nd-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Aguie-chat-proto",
"### Model Description\n\n\n\nThis model is a fine-tuned version of LLama2-koen-13b",
"### Trained Data\n\n- 3,000... | [
54,
8,
23,
15,
5,
23
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #ko #en #license-cc-by-nc-nd-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Aguie-chat-proto### Model Description\n\n\n\nThis model is a fine-tuned version of LLama2-koen-13b### Trained Data\n\n- 3,000,000 korean instru... |
text-generation | transformers |
아수라발발타 아수라발발타
손은 눈보다 빠르다! 무슨 패를 잡고 싶니?
아수라발발타 아수라발발타
돈을 벌고 싶니?
아수라발발타 아수라발발타
부자가되고 싶니?
부자가되고 싶어?
화투하면 대한민국에 딱 세 명이야. 경상도에 짝귀, 전라도에 아귀, 기카고 전국적으로 나! 예전에 짝귀랑 아귀가 한판 붙었는데, 아귀가 짝귀의 귀를 짤라 버렸어. 기래서 짝귀야
# Aguie_v0.1
<!-- Provide a quick summary of what the model is/does. -->
<!--This modelcard aims to be a base templat... | {"language": ["ko", "en"], "license": "cc-by-nc-nd-4.0"} | Heoni/Aguie_v0.1 | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"en",
"license:cc-by-nc-nd-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T10:02:10+00:00 | [] | [
"ko",
"en"
] | TAGS
#transformers #pytorch #llama #text-generation #ko #en #license-cc-by-nc-nd-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
아수라발발타 아수라발발타
손은 눈보다 빠르다! 무슨 패를 잡고 싶니?
아수라발발타 아수라발발타
돈을 벌고 싶니?
아수라발발타 아수라발발타
부자가되고 싶니?
부자가되고 싶어?
화투하면 대한민국에 딱 세 명이야. 경상도에 짝귀, 전라도에 아귀, 기카고 전국적으로 나! 예전에 짝귀랑 아귀가 한판 붙었는데, 아귀가 짝귀의 귀를 짤라 버렸어. 기래서 짝귀야
# Aguie_v0.1
### Model Description
This model is a continual learning version of LLama2-koen-13b
### Trained ... | [
"# Aguie_v0.1",
"### Model Description\n\n\n\nThis model is a continual learning version of LLama2-koen-13b",
"### Trained Data\n\n- 90gb Korean and 45gb English",
"### License\n\nThis model is licensed under the cc-by-nc-nd-4.0."
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #ko #en #license-cc-by-nc-nd-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Aguie_v0.1",
"### Model Description\n\n\n\nThis model is a continual learning version of LLama2-koen-13b",
"### Trained Data\n\n- 90g... | [
54,
9,
22,
13,
23
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #ko #en #license-cc-by-nc-nd-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Aguie_v0.1### Model Description\n\n\n\nThis model is a continual learning version of LLama2-koen-13b### Trained Data\n\n- 90gb Korean and 45gb ... |
text-generation | transformers |
아수라발발타 아수라발발타
손은 눈보다 빠르다! 무슨 패를 잡고 싶니?
아수라발발타 아수라발발타
돈을 벌고 싶니?
아수라발발타 아수라발발타
부자가되고 싶니?
부자가되고 싶어?
화투하면 대한민국에 딱 세 명이야. 경상도에 짝귀, 전라도에 아귀, 기카고 전국적으로 나! 예전에 짝귀랑 아귀가 한판 붙었는데, 아귀가 짝귀의 귀를 짤라 버렸어. 기래서 짝귀야
# Aguie-chat_v0.1
<!-- Provide a quick summary of what the model is/does. -->
<!--This modelcard aims to be a base te... | {"language": ["ko", "en"], "license": "cc-by-nc-nd-4.0"} | Heoni/Aguie-chat_v0.1 | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"ko",
"en",
"license:cc-by-nc-nd-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T10:02:35+00:00 | [] | [
"ko",
"en"
] | TAGS
#transformers #pytorch #llama #text-generation #ko #en #license-cc-by-nc-nd-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
아수라발발타 아수라발발타
손은 눈보다 빠르다! 무슨 패를 잡고 싶니?
아수라발발타 아수라발발타
돈을 벌고 싶니?
아수라발발타 아수라발발타
부자가되고 싶니?
부자가되고 싶어?
화투하면 대한민국에 딱 세 명이야. 경상도에 짝귀, 전라도에 아귀, 기카고 전국적으로 나! 예전에 짝귀랑 아귀가 한판 붙었는데, 아귀가 짝귀의 귀를 짤라 버렸어. 기래서 짝귀야
# Aguie-chat_v0.1
### Model Description
This model is a continual learning version of Aguie_v0.1
### Trained ... | [
"# Aguie-chat_v0.1",
"### Model Description\n\n\n\nThis model is a continual learning version of Aguie_v0.1",
"### Trained Data\n\n- 3,000,000 inst data",
"### License\n\nThis model is licensed under the cc-by-nc-nd-4.0."
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #ko #en #license-cc-by-nc-nd-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Aguie-chat_v0.1",
"### Model Description\n\n\n\nThis model is a continual learning version of Aguie_v0.1",
"### Trained Data\n\n- 3,0... | [
54,
11,
21,
14,
23
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #ko #en #license-cc-by-nc-nd-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Aguie-chat_v0.1### Model Description\n\n\n\nThis model is a continual learning version of Aguie_v0.1### Trained Data\n\n- 3,000,000 inst data##... |
text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - comdoleger/jar_LoRA
<Gallery />
## Model description
These are comdoleger/jar_LoRA LoRA adapti... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stabl... | comdoleger/jar_LoRA | null | [
"diffusers",
"tensorboard",
"text-to-image",
"diffusers-training",
"dora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-04T10:02:57+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - comdoleger/jar_LoRA
<Gallery />
## Model description
These are comdoleger/jar_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: madebyollin/s... | [
"# SDXL LoRA DreamBooth - comdoleger/jar_LoRA\n\n<Gallery />",
"## Model description\n\nThese are comdoleger/jar_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enabled: False.\n\nSpecial VAE used for training... | [
"TAGS\n#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
"# SDXL LoRA DreamBooth - comdoleger/jar_LoRA\n\n<Gallery />",
"## Model descript... | [
72,
23,
83,
20,
25,
6,
7,
23,
17
] | [
"TAGS\n#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n# SDXL LoRA DreamBooth - comdoleger/jar_LoRA\n\n<Gallery />## Model description\n\nThese... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Question_Generation_ComQ_14
This model is a fine-tuned version of [Gayathri142214002/Question_Generation_ComQ_13](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Gayathri142214002/Question_Generation_ComQ_13", "model-index": [{"name": "Question_Generation_ComQ_14", "results": []}]} | Gayathri142214002/Question_Generation_ComQ_14 | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:Gayathri142214002/Question_Generation_ComQ_13",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T10:04:41+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-Gayathri142214002/Question_Generation_ComQ_13 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Question\_Generation\_ComQ\_14
==============================
This model is a fine-tuned version of Gayathri142214002/Question\_Generation\_ComQ\_13 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2129
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-Gayathri142214002/Question_Generation_ComQ_13 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters ... | [
72,
124,
5,
44
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-Gayathri142214002/Question_Generation_ComQ_13 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were u... |
text-generation | transformers |
# xxx model card
<!-- Provide a quick summary of what the model is/does. -->
**Dear reviewers, here is a one of the pretrained/finetuned versions of xxx. You can freely download the model and associated tokenizer to use it as you wish. A code snippet is shared below. We ask you to keep this repository and its conten... | {"license": "apache-2.0"} | l1v6RWdpLP/pe5z8-500m_lvl | null | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"arxiv:2301.11975",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T10:05:05+00:00 | [
"2301.11975",
"1910.09700"
] | [] | TAGS
#transformers #pytorch #safetensors #mistral #text-generation #arxiv-2301.11975 #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# xxx model card
Dear reviewers, here is a one of the pretrained/finetuned versions of xxx. You can freely download the model and associated tokenizer to use it as you wish. A code snippet is shared below. We ask you to keep this repository and its content secret until we officially release it.
xxx is a LMM (Large... | [
"# xxx model card\n\n\n\nDear reviewers, here is a one of the pretrained/finetuned versions of xxx. You can freely download the model and associated tokenizer to use it as you wish. A code snippet is shared below. We ask you to keep this repository and its content secret until we officially release it.\n\nxxx is a ... | [
"TAGS\n#transformers #pytorch #safetensors #mistral #text-generation #arxiv-2301.11975 #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# xxx model card\n\n\n\nDear reviewers, here is a one of the pretrained/finetuned versions of xxx. Yo... | [
67,
161,
4,
93,
3,
28,
39,
50,
108,
56,
4,
159,
85,
119,
11
] | [
"TAGS\n#transformers #pytorch #safetensors #mistral #text-generation #arxiv-2301.11975 #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# xxx model card\n\n\n\nDear reviewers, here is a one of the pretrained/finetuned versions of xxx. You can ... |
null | transformers |
# Uploaded model
- **Developed by:** Animesh001
- **License:** apache-2.0
- **Finetuned from model :** Animesh001/mis-7b-fine-unsloth | {"language": ["en"], "license": "apache-2.0", "base_model": "Animesh001/mis-7b-fine-unsloth"} | Animesh001/mistral-fine16-gguf | null | [
"transformers",
"gguf",
"mistral",
"en",
"base_model:Animesh001/mis-7b-fine-unsloth",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T10:05:48+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mistral #en #base_model-Animesh001/mis-7b-fine-unsloth #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us
|
# Uploaded model
- Developed by: Animesh001
- License: apache-2.0
- Finetuned from model : Animesh001/mis-7b-fine-unsloth | [
"# Uploaded model\n\n- Developed by: Animesh001\n- License: apache-2.0\n- Finetuned from model : Animesh001/mis-7b-fine-unsloth"
] | [
"TAGS\n#transformers #gguf #mistral #en #base_model-Animesh001/mis-7b-fine-unsloth #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us \n",
"# Uploaded model\n\n- Developed by: Animesh001\n- License: apache-2.0\n- Finetuned from model : Animesh001/mis-7b-fine-unsloth"
] | [
55,
41
] | [
"TAGS\n#transformers #gguf #mistral #en #base_model-Animesh001/mis-7b-fine-unsloth #license-apache-2.0 #endpoints_compatible #text-generation-inference #region-us \n# Uploaded model\n\n- Developed by: Animesh001\n- License: apache-2.0\n- Finetuned from model : Animesh001/mis-7b-fine-unsloth"
] |
text-generation | null |
# Occiglot-7B-FR-EN-Instruct
> A [polyglot](https://en.wikipedia.org/wiki/Multilingualism#In_individuals) language model for the [Occident](https://en.wikipedia.org/wiki/Occident).
>
**Occiglot-7B-FR-EN-Instruct** is a th... | {"language": ["en", "fr"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | mayflowergmbh/occiglot-7b-fr-en-instruct-GGUF | null | [
"gguf",
"text-generation",
"en",
"fr",
"license:apache-2.0",
"region:us"
] | null | 2024-04-04T10:06:01+00:00 | [] | [
"en",
"fr"
] | TAGS
#gguf #text-generation #en #fr #license-apache-2.0 #region-us
| !image/png
Occiglot-7B-FR-EN-Instruct
==========================
>
> A polyglot language model for the Occident.
>
>
>
Occiglot-7B-FR-EN-Instruct is a the instruct version of occiglot-7b-fr-en, a generative language model with 7B parameters supporting the French and English and trained by the Occiglot Resear... | [
"### Model details\n\n\n* Instruction tuned from: occiglot-7b-fr-en\n* Model type: Causal decoder-only transformer language model\n* Languages: English, French, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contributors: Manuel Brack, Patrick Schramowski, Pedro Ortiz, Malte Ostendorff, Fabi... | [
"TAGS\n#gguf #text-generation #en #fr #license-apache-2.0 #region-us \n",
"### Model details\n\n\n* Instruction tuned from: occiglot-7b-fr-en\n* Model type: Causal decoder-only transformer language model\n* Languages: English, French, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contribu... | [
25,
114,
339,
4,
194
] | [
"TAGS\n#gguf #text-generation #en #fr #license-apache-2.0 #region-us \n### Model details\n\n\n* Instruction tuned from: occiglot-7b-fr-en\n* Model type: Causal decoder-only transformer language model\n* Languages: English, French, and code.\n* License: Apache 2.0\n* Compute resources: DFKI cluster\n* Contributors: ... |
null | pruna-engine | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"library_name": "pruna-engine", "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"... | PrunaAI/OpenAssistant-falcon-7b-sft-top1-696-bnb-4bit-smashed | null | [
"pruna-engine",
"safetensors",
"RefinedWebModel",
"custom_code",
"4-bit",
"region:us"
] | null | 2024-04-04T10:08:08+00:00 | [] | [] | TAGS
#pruna-engine #safetensors #RefinedWebModel #custom_code #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#pruna-engine #safetensors #RefinedWebModel #custom_code #4-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI model... | [
28,
83,
458,
77,
19,
72,
36
] | [
"TAGS\n#pruna-engine #safetensors #RefinedWebModel #custom_code #4-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here... |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
this is just a prove of concept model. contact me lets work together.
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has ... | {"library_name": "transformers", "tags": []} | Datalictichub/AItohumangpt-ft | null | [
"transformers",
"safetensors",
"mistral",
"arxiv:1910.09700",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-04T10:08:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
this is just a prove of concept model. contact me lets work together.
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [More Infocontarmation Nee... | [
"# Model Card for Model ID",
"## Model Details\n\nthis is just a prove of concept model. contact me lets work together.",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: [More Info... | [
"TAGS\n#transformers #safetensors #mistral #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details\n\nthis is just a prove of concept model. contact me lets work together.",
"### Model Description\n\n\n\nThis is the model card of a tra... | [
35,
6,
19,
83,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5
] | [
"TAGS\n#transformers #safetensors #mistral #arxiv-1910.09700 #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details\n\nthis is just a prove of concept model. contact me lets work together.### Model Description\n\n\n\nThis is the model card of a transformers model th... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# aiHumangpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "aiHumangpt-ft", "results": []}]} | Datalictichub/aiHumangpt-ft | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-04T10:08:15+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| aiHumangpt-ft
=============
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5504
Model description
-----------------
More information needed
Intended uses & limitations
----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batc... | [
55,
151,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_si... |
null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not pla... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "megamerge"], "datasets": ["Open-Orca/OpenOrca", "cognitivecomputations/dolphin", "WhiteRabbitNeo/WRN-Chapter-2", "WhiteRabbitNeo/WRN-Chapter-1", "gate369/Alpaca-Star", "gate369/alpaca-star-ascii"], "base_model": "LeroyDyer/Mixt... | mradermacher/Mixtral_AI_Cyber_Matrix_2_0-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"megamerge",
"en",
"dataset:Open-Orca/OpenOrca",
"dataset:cognitivecomputations/dolphin",
"dataset:WhiteRabbitNeo/WRN-Chapter-2",
"dataset:WhiteRabbitNeo/WRN-Chapter-1",
"dataset:gate369/Alpaca-Star",
"dataset:gate369/alpaca-star-ascii",
"base_model:LeroyDye... | null | 2024-04-04T10:11:11+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #megamerge #en #dataset-Open-Orca/OpenOrca #dataset-cognitivecomputations/dolphin #dataset-WhiteRabbitNeo/WRN-Chapter-2 #dataset-WhiteRabbitNeo/WRN-Chapter-1 #dataset-gate369/Alpaca-Star #dataset-gate369/alpaca-star-ascii #base_model-LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0 #license-mit ... | About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #mergekit #megamerge #en #dataset-Open-Orca/OpenOrca #dataset-cognitivecomputations/dolphin #dataset-WhiteRabbitNeo/WRN-Chapter-2 #dataset-WhiteRabbitNeo/WRN-Chapter-1 #dataset-gate369/Alpaca-Star #dataset-gate369/alpaca-star-ascii #base_model-LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0 #licens... | [
134
] | [
"TAGS\n#transformers #gguf #mergekit #megamerge #en #dataset-Open-Orca/OpenOrca #dataset-cognitivecomputations/dolphin #dataset-WhiteRabbitNeo/WRN-Chapter-2 #dataset-WhiteRabbitNeo/WRN-Chapter-1 #dataset-gate369/Alpaca-Star #dataset-gate369/alpaca-star-ascii #base_model-LeroyDyer/Mixtral_AI_Cyber_Matrix_2_0 #licens... |
text-to-audio | transformers |
# MusicGen - Large - 3.3B
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike existing methods, lik... | {"license": "cc-by-nc-4.0", "tags": ["musicgen"], "inference": true} | marban/musicgen-large | null | [
"transformers",
"pytorch",
"musicgen",
"text-to-audio",
"arxiv:2306.05284",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-04T10:14:07+00:00 | [
"2306.05284"
] | [] | TAGS
#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| MusicGen - Large - 3.3B
=======================
MusicGen is a text-to-music model capable of genreating high-quality music samples conditioned on text descriptions or audio prompts.
It is a single stage auto-regressive Transformer model trained over a 32kHz EnCodec tokenizer with 4 codebooks sampled at 50 Hz.
Unlike ... | [] | [
"TAGS\n#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #pytorch #musicgen #text-to-audio #arxiv-2306.05284 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | {"language": ["multilingual"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generation", "question answering", "instruction tuning"], "datasets": ["MBZUAI/Bactrian-X"], "pipeline_tag": "text-generation"} | MaLA-LM/lucky52-bloom-7b1-no-17 | null | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"generation",
"question answering",
"instruction tuning",
"multilingual",
"dataset:MBZUAI/Bactrian-X",
"arxiv:2404.04850",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:u... | null | 2024-04-04T10:14:16+00:00 | [
"2404.04850"
] | [
"multilingual"
] | TAGS
#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Model Description
This HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages.
We progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in three ... | [
"### Model Description\n\nThis HF repository hosts instruction fine-tuned multilingual BLOOM model using the parallel instruction dataset called Bactrain-X in 52 languages. \nWe progressively add a language during instruction fine-tuning at each time, and train 52 models in total. Then, we evaluate those models in... | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Model Description\n\nThis HF repos... | [
82,
176,
16
] | [
"TAGS\n#transformers #pytorch #bloom #text-generation #generation #question answering #instruction tuning #multilingual #dataset-MBZUAI/Bactrian-X #arxiv-2404.04850 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Model Description\n\nThis HF repository ... |
feature-extraction | transformers | # Model Card for Model ID
## Model Details
### Model Description
The model consists of a music encoder ```MERT-v1-300M```, a natural language decoder ```vicuna-7b-delta-v0```, and a linear projection laer between the two.
This checkpoint of MusiLingo is developed on the MusicInstruct (MI)-short and can answer short in... | {"language": ["en"], "license": "cc-by-4.0", "tags": ["music", "art"]} | m-a-p/MusiLingo-short-v1 | null | [
"transformers",
"safetensors",
"musilingo",
"feature-extraction",
"music",
"art",
"custom_code",
"en",
"arxiv:2309.08730",
"license:cc-by-4.0",
"region:us"
] | null | 2024-04-04T10:16:03+00:00 | [
"2309.08730"
] | [
"en"
] | TAGS
#transformers #safetensors #musilingo #feature-extraction #music #art #custom_code #en #arxiv-2309.08730 #license-cc-by-4.0 #region-us
| # Model Card for Model ID
## Model Details
### Model Description
The model consists of a music encoder , a natural language decoder , and a linear projection laer between the two.
This checkpoint of MusiLingo is developed on the MusicInstruct (MI)-short and can answer short instructions with music raw audio, such as q... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\nThe model consists of a music encoder , a natural language decoder , and a linear projection laer between the two.\n\nThis checkpoint of MusiLingo is developed on the MusicInstruct (MI)-short and can answer short instructions with music ra... | [
"TAGS\n#transformers #safetensors #musilingo #feature-extraction #music #art #custom_code #en #arxiv-2309.08730 #license-cc-by-4.0 #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\nThe model consists of a music encoder , a natural language decoder , and a linear projecti... | [
51,
6,
4,
86,
51,
4,
26
] | [
"TAGS\n#transformers #safetensors #musilingo #feature-extraction #music #art #custom_code #en #arxiv-2309.08730 #license-cc-by-4.0 #region-us \n# Model Card for Model ID## Model Details### Model Description\nThe model consists of a music encoder , a natural language decoder , and a linear projection laer between th... |
null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "NousResearch/Llama-2-7b-chat-hf"} | srideviwijaya/llama-2-7b-object-sentiment | null | [
"peft",
"safetensors",
"llama",
"arxiv:1910.09700",
"base_model:NousResearch/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-04T10:16:28+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #llama #arxiv-1910.09700 #base_model-NousResearch/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
"TAGS\n#peft #safetensors #llama #arxiv-1910.09700 #base_model-NousResearch/Llama-2-7b-chat-hf #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- Licen... | [
48,
6,
4,
50,
23,
3,
5,
8,
9,
8,
34,
20,
4,
5,
5,
11,
13,
12,
3,
10,
6,
5,
6,
4,
5,
7,
49,
7,
7,
5,
5,
15,
7,
7,
8,
5,
16
] | [
"TAGS\n#peft #safetensors #llama #arxiv-1910.09700 #base_model-NousResearch/Llama-2-7b-chat-hf #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned ... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.