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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
null | diffusers |
# This repo contains the pretrained checkpoints for Ctrl-Adapter
CTRL-Adapter is an efficient and versatile framework for adding diverse
spatial controls to any image or video diffusion model. It supports a variety of useful
applications, including video control, video control with multiple conditions, video control... | {"license": "mit"} | hanlincs/Ctrl-Adapter | null | [
"diffusers",
"safetensors",
"license:mit",
"region:us"
] | null | 2024-04-15T23:35:59+00:00 | [] | [] | TAGS
#diffusers #safetensors #license-mit #region-us
|
# This repo contains the pretrained checkpoints for Ctrl-Adapter
CTRL-Adapter is an efficient and versatile framework for adding diverse
spatial controls to any image or video diffusion model. It supports a variety of useful
applications, including video control, video control with multiple conditions, video control... | [
"# This repo contains the pretrained checkpoints for Ctrl-Adapter\n\n\nCTRL-Adapter is an efficient and versatile framework for adding diverse\nspatial controls to any image or video diffusion model. It supports a variety of useful\napplications, including video control, video control with multiple conditions, vide... | [
"TAGS\n#diffusers #safetensors #license-mit #region-us \n",
"# This repo contains the pretrained checkpoints for Ctrl-Adapter\n\n\nCTRL-Adapter is an efficient and versatile framework for adding diverse\nspatial controls to any image or video diffusion model. It supports a variety of useful\napplications, includi... | [
16,
111,
6,
61,
235,
85
] | [
"TAGS\n#diffusers #safetensors #license-mit #region-us \n# This repo contains the pretrained checkpoints for Ctrl-Adapter\n\n\nCTRL-Adapter is an efficient and versatile framework for adding diverse\nspatial controls to any image or video diffusion model. It supports a variety of useful\napplications, including vid... |
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": []} | cackerman/rewrites_llama13bchat_4bit_ft_full3 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T23:36:11+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 | 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": "mistralai/Mistral-7B-v0.1"} | mselek/Mistral-7B-peft-qlora | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-v0.1",
"region:us"
] | null | 2024-04-15T23:37:10+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #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 #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #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- Finet... | [
41,
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,
13
] | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #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 from model [o... |
text-to-image | diffusers |
# thinkdiffusionxl API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/thinkdiffusionxl | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-15T23:39:23+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# thinkdiffusionxl API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "thinkdiffusionxl"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model li... | [
"# thinkdiffusionxl API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"thinkdiffusionxl\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Gene... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# thinkdiffusionxl API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Paymen... | [
56,
14,
513
] | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n# thinkdiffusionxl API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n... |
feature-extraction | 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": []} | Mike0307/text2vec-base-chinese-rag | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T23:41:18+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #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 #bert #feature-extraction #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 automatic... | [
32,
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 #feature-extraction #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\... |
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. -->
# flan-t5-base-dialogsum-checkpoint
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan... | {"license": "apache-2.0", "tags": ["LLM PA5", "generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-dialogsum-checkpoint", "results": []}]} | ShushantLLM/flan-t5-base-dialogsum-checkpoint | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"LLM PA5",
"generated_from_trainer",
"base_model:google/flan-t5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T23:42:57+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #LLM PA5 #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| flan-t5-base-dialogsum-checkpoint
=================================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8633
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: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
"### Training... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #LLM PA5 #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during ... | [
69,
101,
5,
44
] | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #LLM PA5 #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during traini... |
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. -->
# GUE_prom_prom_core_tata-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-15T23:44:35+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_8192\_512\_17M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
43,
102,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
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. -->
# ruBert-base-sberquad-0.001-len_3-filtered-negative-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://hug... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.001-len_3-filtered-negative-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.001-len_3-filtered-negative-v2 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T23:44:56+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.001-len_3-filtered-negative-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
"# ruBert-base-sberquad-0.001-len_3-filtered-negative-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n",
"# ruBert-base-sberquad-0.001-len_3-filtered-negative-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore in... | [
42,
48,
7,
9,
9,
4,
92,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n# ruBert-base-sberquad-0.001-len_3-filtered-negative-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.## Model description\n\nMore information ne... |
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. -->
# GUE_prom_prom_300_all-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_1... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-15T23:50:50+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_8192\_512\_17M-L32\_all
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation set:
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
43,
102,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/allknowingroger/Neuralmaath-12B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "Kukedlc/NeuralSynthesis-7b-v0.4-slerp", "DT12the/Math-Mixtral-7B"], "base_model": "allknowingroger/Neuralmaath-12B-MoE", "quantized_by": "mradermacher"} | mradermacher/Neuralmaath-12B-MoE-GGUF | null | [
"transformers",
"gguf",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"Kukedlc/NeuralSynthesis-7b-v0.4-slerp",
"DT12the/Math-Mixtral-7B",
"en",
"base_model:allknowingroger/Neuralmaath-12B-MoE",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T23:51:40+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #moe #frankenmoe #merge #mergekit #lazymergekit #Kukedlc/NeuralSynthesis-7b-v0.4-slerp #DT12the/Math-Mixtral-7B #en #base_model-allknowingroger/Neuralmaath-12B-MoE #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 #moe #frankenmoe #merge #mergekit #lazymergekit #Kukedlc/NeuralSynthesis-7b-v0.4-slerp #DT12the/Math-Mixtral-7B #en #base_model-allknowingroger/Neuralmaath-12B-MoE #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
96
] | [
"TAGS\n#transformers #gguf #moe #frankenmoe #merge #mergekit #lazymergekit #Kukedlc/NeuralSynthesis-7b-v0.4-slerp #DT12the/Math-Mixtral-7B #en #base_model-allknowingroger/Neuralmaath-12B-MoE #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
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. -->
# GUE_EMP_H3K14ac-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-15T23:51:53+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_EMP\_H3K14ac-seqsight\_8192\_512\_17M-L32\_all
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5385
* F1 Sc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
43,
102,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
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. -->
# GUE_EMP_H3K4me2-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-15T23:52:00+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_EMP\_H3K4me2-seqsight\_8192\_512\_17M-L32\_all
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me2 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1578
* F1 Sc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
43,
102,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
text-to-image | diffusers |
# rundiffusionxl API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/rundiffusionxl | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-15T23:52:25+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# rundiffusionxl API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "rundiffusionxl"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: ... | [
"# rundiffusionxl API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"rundiffusionxl\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# rundiffusionxl API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment ... | [
56,
14,
513
] | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n# rundiffusionxl API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\n... |
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. -->
# ruBert-base-sberquad-0.001-len_4-filtered-negative
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggin... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.001-len_4-filtered-negative", "results": []}]} | Shalazary/ruBert-base-sberquad-0.001-len_4-filtered-negative | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T23:53:00+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.001-len_4-filtered-negative
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
"# ruBert-base-sberquad-0.001-len_4-filtered-negative\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ne... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n",
"# ruBert-base-sberquad-0.001-len_4-filtered-negative\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore infor... | [
42,
45,
7,
9,
9,
4,
109,
5,
58
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n# ruBert-base-sberquad-0.001-len_4-filtered-negative\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.## Model description\n\nMore information neede... |
text-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. -->
Catastrophic forgetting test results:
Initial evaluation loss on 1k subset of HuggingFaceTB/cosmopedia-100k dataset was 1.182. 100... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceTB/cosmo-1b", "model-index": [{"name": "galore-out", "results": []}]} | Lambent/cosmo-1b-galore-pythontest | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"generated_from_trainer",
"base_model:HuggingFaceTB/cosmo-1b",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T23:53:22+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #generated_from_trainer #base_model-HuggingFaceTB/cosmo-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Catastrophic forgetting test results:
Initial evaluation loss on 1k subset of HuggingFaceTB/cosmopedia-100k dataset was 1.182. 100 steps of LISA training reduced this to 1.117.
Comparison to control: cosmo-1b started out with 1.003 loss on (a different subset of) dataset, increasing to 1.024 at 100 steps.
<img sr... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#transformers #pytorch #llama #text-generation #generated_from_trainer #base_model-HuggingFaceTB/cosmo-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\... | [
63,
142,
5,
47
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #generated_from_trainer #base_model-HuggingFaceTB/cosmo-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* l... |
text-generation | transformers |
Catastrophic forgetting test results:
Initial evaluation loss on 1k subset of HuggingFaceTB/cosmopedia-100k dataset was 1.102. 100 steps of LISA training reduced this to 1.049.
Comparison to control: cosmo-1b started out with 1.003 loss on (a different subset of) dataset, increasing to 1.024 at 100 steps.
Axolotl c... | {"license": "apache-2.0"} | Lambent/cosmo-1b-qlora-pythontest | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T23:53:50+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Catastrophic forgetting test results:
Initial evaluation loss on 1k subset of HuggingFaceTB/cosmopedia-100k dataset was 1.102. 100 steps of LISA training reduced this to 1.049.
Comparison to control: cosmo-1b started out with 1.003 loss on (a different subset of) dataset, increasing to 1.024 at 100 steps.
Axolotl c... | [] | [
"TAGS\n#transformers #pytorch #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
43
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
text-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. -->
Catastrophic forgetting test results:
Initial evaluation loss on 1k subset of HuggingFaceTB/cosmopedia-100k dataset was 1.217. 100... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceTB/cosmo-1b", "model-index": [{"name": "lisa-out", "results": []}]} | Lambent/cosmo-1b-lisa-pythontest | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"generated_from_trainer",
"base_model:HuggingFaceTB/cosmo-1b",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T23:54:16+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #generated_from_trainer #base_model-HuggingFaceTB/cosmo-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Catastrophic forgetting test results:
Initial evaluation loss on 1k subset of HuggingFaceTB/cosmopedia-100k dataset was 1.217. 100 steps of LISA training reduced this to 1.153.
Comparison to control:
cosmo-1b started out with 1.003 loss on (a different subset of) dataset, increasing to 1.024 at 100 steps.
<img sr... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#transformers #pytorch #llama #text-generation #generated_from_trainer #base_model-HuggingFaceTB/cosmo-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\... | [
63,
142,
5,
47
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #generated_from_trainer #base_model-HuggingFaceTB/cosmo-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* l... |
text-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. -->
Catastrophic forgetting test results:
Initial evaluation loss on 1k subset of HuggingFaceTB/cosmopedia-100k dataset was 1.615, sig... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceTB/cosmo-1b", "model-index": [{"name": "tune-out", "results": []}]} | Lambent/cosmo-1b-tune-pythontest | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"generated_from_trainer",
"base_model:HuggingFaceTB/cosmo-1b",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T23:54:39+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #generated_from_trainer #base_model-HuggingFaceTB/cosmo-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Catastrophic forgetting test results:
Initial evaluation loss on 1k subset of HuggingFaceTB/cosmopedia-100k dataset was 1.615, significantly more than tuning methods with smaller adaptations.
100 steps of LISA training reduced this to 1.392.
Comparison to control: cosmo-1b started out with 1.003 loss on (a differ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n*... | [
"TAGS\n#transformers #pytorch #llama #text-generation #generated_from_trainer #base_model-HuggingFaceTB/cosmo-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\... | [
63,
174,
5,
47
] | [
"TAGS\n#transformers #pytorch #llama #text-generation #generated_from_trainer #base_model-HuggingFaceTB/cosmo-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* l... |
translation | 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. -->
# Gopal-finetuned-custom-de-en
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-de-en](https://huggingface.co/Helsinki-... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "base_model": "Helsinki-NLP/opus-mt-de-en", "model-index": [{"name": "Gopal-finetuned-custom-de-en", "results": []}]} | Gopal1853/Gopal-finetuned-custom-de-en | null | [
"transformers",
"tensorboard",
"safetensors",
"marian",
"text2text-generation",
"translation",
"generated_from_trainer",
"base_model:Helsinki-NLP/opus-mt-de-en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T23:55:44+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #marian #text2text-generation #translation #generated_from_trainer #base_model-Helsinki-NLP/opus-mt-de-en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Gopal-finetuned-custom-de-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
"# Gopal-finetuned-custom-de-en\n\nThis model is a fine-tuned version of Helsinki-NLP/opus-mt-de-en 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",
"## Train... | [
"TAGS\n#transformers #tensorboard #safetensors #marian #text2text-generation #translation #generated_from_trainer #base_model-Helsinki-NLP/opus-mt-de-en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Gopal-finetuned-custom-de-en\n\nThis model is a fine-tuned version of Helsinki... | [
65,
40,
7,
9,
9,
4,
102,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #marian #text2text-generation #translation #generated_from_trainer #base_model-Helsinki-NLP/opus-mt-de-en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# Gopal-finetuned-custom-de-en\n\nThis model is a fine-tuned version of Helsinki-NLP/o... |
text-generation | transformers |
Like it says.
Takes about 120GB ram or vram...
Vicuna template, I hear. Works for me, including SYSTEM.
YMMV
| 0 N/A N/A 46923 C /usr/bin/python3 46976MiB |
| 1 N/A N/A 1483 G /usr/lib/xorg/Xorg 4MiB |
| 1 N/A N/A 46923... | {"license": "apache-2.0"} | bdambrosio/WizardLM-2-8x22B-6.0bpw-h8-exl2 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-04-15T23:56:58+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us
|
Like it says.
Takes about 120GB ram or vram...
Vicuna template, I hear. Works for me, including SYSTEM.
YMMV
| 0 N/A N/A 46923 C /usr/bin/python3 46976MiB |
| 1 N/A N/A 1483 G /usr/lib/xorg/Xorg 4MiB |
| 1 N/A N/A 46923... | [] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \n"
] | [
46
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \n"
] |
text-generation | transformers |
# Model Card for SkillTree Enhanced Model
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
This model has been enhanced using the SkillTree approach, which applies specific skills extracted from advanced training or fine-tuning processes to improve the model's capabilities in targeted ar... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["SkillEnhanced", "mistral"]} | HachiML/SkillTree-Chat-Wizard-Mistral-7B-v0.1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"SkillEnhanced",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T23:58:02+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #SkillEnhanced #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for SkillTree Enhanced Model
## Model Details
This model has been enhanced using the SkillTree approach, which applies specific skills extracted from advanced training or fine-tuning processes to improve the model's capabilities in targeted areas.
- Base Model: tokyotech-llm/Swallow-MS-7b-v0.1
- Skil... | [
"# Model Card for SkillTree Enhanced Model",
"## Model Details\n\nThis model has been enhanced using the SkillTree approach, which applies specific skills extracted from advanced training or fine-tuning processes to improve the model's capabilities in targeted areas.\n\n- Base Model: tokyotech-llm/Swallow-MS-7b-v... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #SkillEnhanced #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for SkillTree Enhanced Model",
"## Model Details\n\nThis model has been enhanced using the SkillTree approach, which... | [
47,
8,
108,
5,
63,
24,
12,
12
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #SkillEnhanced #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for SkillTree Enhanced Model## Model Details\n\nThis model has been enhanced using the SkillTree approach, which applies spe... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/KaeriJenti/kaori-34b-v4
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/kaori-34b-v4-i1-G... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "KaeriJenti/kaori-34b-v4", "quantized_by": "mradermacher"} | mradermacher/kaori-34b-v4-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:KaeriJenti/kaori-34b-v4",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T23:58:47+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-KaeriJenti/kaori-34b-v4 #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix 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 #en #base_model-KaeriJenti/kaori-34b-v4 #license-llama2 #endpoints_compatible #region-us \n"
] | [
42
] | [
"TAGS\n#transformers #gguf #en #base_model-KaeriJenti/kaori-34b-v4 #license-llama2 #endpoints_compatible #region-us \n"
] |
null | null | # ChatAllInOne_Mistral7BVv2-2ksteps
## Description
ChatAllInOne_Mistral7BVv2-2ksteps is a chat language model full parameter fine-tuned on the CHAT-ALL-IN-ONE-v1 dataset. Originally based on the alpindale/Mistral-7B-v0.2-hf created by MistralAI, this version is specifically optimized for diverse and comprehensive chat... | {"license": "apache-2.0", "datasets": ["DrNicefellow/CHAT-ALL-IN-ONE-v2-2ksteps"]} | DrNicefellow/ChatAllInOne-Mistral-7B-V2-2ksteps | null | [
"dataset:DrNicefellow/CHAT-ALL-IN-ONE-v2-2ksteps",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T00:00:36+00:00 | [] | [] | TAGS
#dataset-DrNicefellow/CHAT-ALL-IN-ONE-v2-2ksteps #license-apache-2.0 #region-us
| # ChatAllInOne_Mistral7BVv2-2ksteps
## Description
ChatAllInOne_Mistral7BVv2-2ksteps is a chat language model full parameter fine-tuned on the CHAT-ALL-IN-ONE-v1 dataset. Originally based on the alpindale/Mistral-7B-v0.2-hf created by MistralAI, this version is specifically optimized for diverse and comprehensive chat... | [
"# ChatAllInOne_Mistral7BVv2-2ksteps",
"## Description\nChatAllInOne_Mistral7BVv2-2ksteps is a chat language model full parameter fine-tuned on the CHAT-ALL-IN-ONE-v1 dataset. Originally based on the alpindale/Mistral-7B-v0.2-hf created by MistralAI, this version is specifically optimized for diverse and comprehe... | [
"TAGS\n#dataset-DrNicefellow/CHAT-ALL-IN-ONE-v2-2ksteps #license-apache-2.0 #region-us \n",
"# ChatAllInOne_Mistral7BVv2-2ksteps",
"## Description\nChatAllInOne_Mistral7BVv2-2ksteps is a chat language model full parameter fine-tuned on the CHAT-ALL-IN-ONE-v1 dataset. Originally based on the alpindale/Mistral-7B... | [
38,
18,
86,
39,
47,
19,
25,
42
] | [
"TAGS\n#dataset-DrNicefellow/CHAT-ALL-IN-ONE-v2-2ksteps #license-apache-2.0 #region-us \n# ChatAllInOne_Mistral7BVv2-2ksteps## Description\nChatAllInOne_Mistral7BVv2-2ksteps is a chat language model full parameter fine-tuned on the CHAT-ALL-IN-ONE-v1 dataset. Originally based on the alpindale/Mistral-7B-v0.2-hf cre... |
null | null |
<!-- 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. -->
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/H... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned", "results": []}]} | magorshunov/idefics2-8b-docvqa-finetuned-tutorial | null | [
"safetensors",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics2-8b",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T00:00:49+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics2-8b #license-apache-2.0 #region-us
|
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
"# idefics2-8b-docvqa-finetuned-tutorial\n\nThis model is a fine-tuned version of HuggingFaceM4/idefics2-8b 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",
"... | [
"TAGS\n#safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics2-8b #license-apache-2.0 #region-us \n",
"# idefics2-8b-docvqa-finetuned-tutorial\n\nThis model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Inte... | [
40,
46,
7,
9,
9,
4,
133,
5,
47
] | [
"TAGS\n#safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics2-8b #license-apache-2.0 #region-us \n# idefics2-8b-docvqa-finetuned-tutorial\n\nThis model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.## Model description\n\nMore information needed## Intended uses & limita... |
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. -->
# qa_kor_market
This model is a fine-tuned version of [hyunwoongko/kobart](https://huggingface.co/hyunwoongko/kobart) on an unknow... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "hyunwoongko/kobart", "model-index": [{"name": "qa_kor_market", "results": []}]} | idah4/qa_kor_market | null | [
"transformers",
"tensorboard",
"safetensors",
"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:hyunwoongko/kobart",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:01:30+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-hyunwoongko/kobart #license-mit #autotrain_compatible #endpoints_compatible #region-us
| qa\_kor\_market
===============
This model is a fine-tuned version of hyunwoongko/kobart on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7618
Model description
-----------------
슈퍼 마켓에서 있을 법한한 문의 내용을 입력하면, 문의 의도, 문의 항목, 답변을 리턴해주는 모델입니다.
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: 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* lr\\_scheduler\\_warmup\\_steps... | [
"TAGS\n#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-hyunwoongko/kobart #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_r... | [
55,
117,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-hyunwoongko/kobart #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: 1... |
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": []} | Kenito21/Prueba-Kenito | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:07:21+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 | 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": []} | HachiML/Swallow-MS-7b-v0.1-ChatSkill-Wizard | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T00:07:32+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... |
null | null |
# RaincloudAi/WizardLM-2-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`microsoft/WizardLM-2-7B`](https://huggingface.co/microsoft/WizardLM-2-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | RaincloudAi/WizardLM-2-7B-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T00:07:56+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# RaincloudAi/WizardLM-2-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'microsoft/WizardLM-2-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
N... | [
"# RaincloudAi/WizardLM-2-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'microsoft/WizardLM-2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCL... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# RaincloudAi/WizardLM-2-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'microsoft/WizardLM-2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with U... | [
32,
77,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# RaincloudAi/WizardLM-2-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'microsoft/WizardLM-2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstal... |
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. -->
# experiments
This model is a fine-tuned version of [4i-ai/Llama-2-7b-alpaca-es](https://huggingface.co/4i-ai/Llama-2-7b-alpaca-es... | {"license": "cc-by-nc-4.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "4i-ai/Llama-2-7b-alpaca-es", "model-index": [{"name": "experiments", "results": []}]} | Kenito21/experiments | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:4i-ai/Llama-2-7b-alpaca-es",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-16T00:07:58+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-4i-ai/Llama-2-7b-alpaca-es #license-cc-by-nc-4.0 #region-us
|
# experiments
This model is a fine-tuned version of 4i-ai/Llama-2-7b-alpaca-es on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3489
- eval_runtime: 9.7593
- eval_samples_per_second: 20.493
- eval_steps_per_second: 2.562
- epoch: 7.7859
- step: 100
## Model description... | [
"# experiments\n\nThis model is a fine-tuned version of 4i-ai/Llama-2-7b-alpaca-es on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 0.3489\n- eval_runtime: 9.7593\n- eval_samples_per_second: 20.493\n- eval_steps_per_second: 2.562\n- epoch: 7.7859\n- step: 100",
"## Mo... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-4i-ai/Llama-2-7b-alpaca-es #license-cc-by-nc-4.0 #region-us \n",
"# experiments\n\nThis model is a fine-tuned version of 4i-ai/Llama-2-7b-alpaca-es on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_lo... | [
56,
108,
7,
9,
9,
4,
131,
58
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-4i-ai/Llama-2-7b-alpaca-es #license-cc-by-nc-4.0 #region-us \n# experiments\n\nThis model is a fine-tuned version of 4i-ai/Llama-2-7b-alpaca-es on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 0.... |
null | null |
# DavidAU/bagel-7b-v0.5-Q8_0-GGUF
This model was converted to GGUF format from [`jondurbin/bagel-7b-v0.5`](https://huggingface.co/jondurbin/bagel-7b-v0.5) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemi... | DavidAU/bagel-7b-v0.5-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:ai2_arc",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"dataset:argilla/distilabel-intel-orca-dpo-pairs",
"dataset:jondurbin/airoboros-3.2",
"dataset:codeparrot/apps",
"dataset:facebook/belebele",
"dataset:bluemoon-fandom-1-1-rp-cleaned",
"data... | null | 2024-04-16T00:08:54+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-ai2_arc #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-argilla/distilabel-intel-orca-dpo-pairs #dataset-jondurbin/airoboros-3.2 #dataset-codeparrot/apps #dataset-facebook/belebele #dataset-bluemoon-fandom-1-1-rp-cleaned #dataset-boolq #dataset-camel-ai/biology #da... |
# DavidAU/bagel-7b-v0.5-Q8_0-GGUF
This model was converted to GGUF format from 'jondurbin/bagel-7b-v0.5' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Y... | [
"# DavidAU/bagel-7b-v0.5-Q8_0-GGUF\nThis model was converted to GGUF format from 'jondurbin/bagel-7b-v0.5' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #dataset-ai2_arc #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-argilla/distilabel-intel-orca-dpo-pairs #dataset-jondurbin/airoboros-3.2 #dataset-codeparrot/apps #dataset-facebook/belebele #dataset-bluemoon-fandom-1-1-rp-cleaned #dataset-boolq #dataset-camel-ai/biolo... | [
584,
81,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #dataset-ai2_arc #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-argilla/distilabel-intel-orca-dpo-pairs #dataset-jondurbin/airoboros-3.2 #dataset-codeparrot/apps #dataset-facebook/belebele #dataset-bluemoon-fandom-1-1-rp-cleaned #dataset-boolq #dataset-camel-ai/biolo... |
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-shivi-recognition-qlora | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:08:57+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 |
# 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": []} | cackerman/rewrites_mistral7bit_4bit_ft_full | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:09:19+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 |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-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/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | codesagar/prompt-guard-reasoning-v1 | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"base_model:unsloth/mistral-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:09:28+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: codesagar
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: codesagar\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: codesagar\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-bnb-4bit\n\n... | [
62,
78
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: codesagar\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-bnb-4bit\n\nThis m... |
null | null | StreetView360X is a latent diffusion model fine tuned on Stable Diffusion for generating 360 degree equirectangular street views with a single location-based prompt.
Abstract: In this paper we introduce StreetView360X, a diffusion model for generating photorealistic equirectangular 360 degree street views from a locat... | {"license": "mit"} | everettshen/StreetView360X | null | [
"license:mit",
"region:us"
] | null | 2024-04-16T00:11:18+00:00 | [] | [] | TAGS
#license-mit #region-us
| StreetView360X is a latent diffusion model fine tuned on Stable Diffusion for generating 360 degree equirectangular street views with a single location-based prompt.
Abstract: In this paper we introduce StreetView360X, a diffusion model for generating photorealistic equirectangular 360 degree street views from a locat... | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
9
] | [
"TAGS\n#license-mit #region-us \n"
] |
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. -->
# GUE_EMP_H3K9ac-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-16T00:12:09+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_EMP\_H3K9ac-seqsight\_8192\_512\_17M-L32\_all
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5043
* F1 Score... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
43,
102,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
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. -->
# GUE_EMP_H3K4me3-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-16T00:12:38+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_8192\_512\_17M-L32\_all
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6951
* F1 Sc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
43,
102,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
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. -->
# mistral_instructv3_2_KQL
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistr... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_instructv3_2_KQL", "results": []}]} | aisha44/mistral_instructv3_2_KQL | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T00:18:39+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| mistral\_instructv3\_2\_KQL
===========================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3418
Model description
-----------------
More information needed
Intended uses & limitat... | [
"### 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: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\n* lr\\_scheduler\\_warmup\\_step... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #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... | [
62,
128,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.2 #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\\_siz... |
text-generation | transformers |
Finetuned with domain dataset | {"license": "apache-2.0"} | sosoai/hansoldeco-gemma-2b-1.1-v0.1 | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T00:19:27+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Finetuned with domain dataset | [] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
44
] | [
"TAGS\n#transformers #safetensors #gemma #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/microsoft/WizardLM-2-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "microsoft/WizardLM-2-7B", "quantized_by": "mradermacher"} | mradermacher/WizardLM-2-7B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:microsoft/WizardLM-2-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:19:49+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-microsoft/WizardLM-2-7B #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-microsoft/WizardLM-2-7B #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
40
] | [
"TAGS\n#transformers #gguf #en #base_model-microsoft/WizardLM-2-7B #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
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. -->
# ruBert-base-sberquad-0.001-len_4-filtered-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.001-len_4-filtered-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.001-len_4-filtered-v2 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T00:22:59+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.001-len_4-filtered-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
"# ruBert-base-sberquad-0.001-len_4-filtered-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base 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",... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n",
"# ruBert-base-sberquad-0.001-len_4-filtered-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore information... | [
42,
46,
7,
9,
9,
4,
92,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n# ruBert-base-sberquad-0.001-len_4-filtered-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.## Model description\n\nMore information needed## In... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-rzooeoj | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:NousResearch/Hermes-2-Pro-Mistral-7B",
"base_model:WizardLM/WizardMath-7B-V1.1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T00:24:25+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-WizardLM/WizardMath-7B-V1.1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
### Configura... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* NousResearch/Hermes-2-Pro-Mistral-7B\n* WizardLM/WizardM... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-WizardLM/WizardMath-7B-V1.1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained la... | [
83,
17,
4,
17,
47,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #base_model-WizardLM/WizardMath-7B-V1.1 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language... |
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": []} | dmvaldman/showerthought_instruct | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T00:24:41+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... |
null | transformers | Mistral Chat Template 을 따릅니다.
ex)
```
text = "<s>[INST] What is your favourite condiment? [/INST]"
"Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!</s> "
"[INST] Do you have mayonnaise recipes? [/INST]"
``` | {"language": ["ko", "en"], "license": "mit", "library_name": "transformers", "base_model": ["CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2"]} | CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2-GGUF | null | [
"transformers",
"gguf",
"ko",
"en",
"base_model:CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:24:59+00:00 | [] | [
"ko",
"en"
] | TAGS
#transformers #gguf #ko #en #base_model-CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2 #license-mit #endpoints_compatible #region-us
| Mistral Chat Template 을 따릅니다.
ex)
| [] | [
"TAGS\n#transformers #gguf #ko #en #base_model-CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2 #license-mit #endpoints_compatible #region-us \n"
] | [
49
] | [
"TAGS\n#transformers #gguf #ko #en #base_model-CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2 #license-mit #endpoints_compatible #region-us \n"
] |
translation | transformers | ---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ar-en
# This model's role is to translate Daraija with Latin words or Arabizi into English. It was trained on 60,000 rows of translation examples.
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-a... | {"language": ["ar", "en"], "license": "apache-2.0", "base_model": "Helsinki-NLP/opus-mt-ar-en", "pipeline_tag": "translation", "widget": [{"text": "salam ,labas ?"}, {"text": " kanbghik bzaf"}]} | lachkarsalim/LatinDarija_English-v1 | null | [
"transformers",
"safetensors",
"marian",
"text2text-generation",
"translation",
"ar",
"en",
"base_model:Helsinki-NLP/opus-mt-ar-en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:28:34+00:00 | [] | [
"ar",
"en"
] | TAGS
#transformers #safetensors #marian #text2text-generation #translation #ar #en #base_model-Helsinki-NLP/opus-mt-ar-en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| ---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ar-en
# This model's role is to translate Daraija with Latin words or Arabizi into English. It was trained on 60,000 rows of translation examples.
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on anDarija Open Dataset (DODa), an ambitious o... | [
"# This model's role is to translate Daraija with Latin words or Arabizi into English. It was trained on 60,000 rows of translation examples.\n\nThis model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on anDarija Open Dataset (DODa), an ambitious open-source project dedicated to the Moroccan dialect. With ... | [
"TAGS\n#transformers #safetensors #marian #text2text-generation #translation #ar #en #base_model-Helsinki-NLP/opus-mt-ar-en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# This model's role is to translate Daraija with Latin words or Arabizi into English. It was trained on 60,00... | [
60,
112,
62
] | [
"TAGS\n#transformers #safetensors #marian #text2text-generation #translation #ar #en #base_model-Helsinki-NLP/opus-mt-ar-en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# This model's role is to translate Daraija with Latin words or Arabizi into English. It was trained on 60,000 rows... |
token-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": []} | AwesomeREK/concept-extraction-xlnet-distant-early-stopping-teacher-student-self-trained | null | [
"transformers",
"safetensors",
"xlnet",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:30:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlnet #token-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 #xlnet #token-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 mode... | [
38,
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 #xlnet #token-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 au... |
token-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": []} | AwesomeREK/concept-extraction-xlnet-reduced-distant-early-stopping-teacher-student-self-trained | null | [
"transformers",
"safetensors",
"xlnet",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:30:56+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlnet #token-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 #xlnet #token-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 mode... | [
38,
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 #xlnet #token-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 au... |
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. -->
# qa_kor_hospital_2
This model is a fine-tuned version of [hyunwoongko/kobart](https://huggingface.co/hyunwoongko/kobart) on an un... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "hyunwoongko/kobart", "model-index": [{"name": "qa_kor_hospital_2", "results": []}]} | idah4/qa_kor_hospital_2 | null | [
"transformers",
"tensorboard",
"safetensors",
"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:hyunwoongko/kobart",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:32:52+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-hyunwoongko/kobart #license-mit #autotrain_compatible #endpoints_compatible #region-us
| qa\_kor\_hospital\_2
====================
This model is a fine-tuned version of hyunwoongko/kobart on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1627
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\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* lr\\_scheduler\\_warmup\\_step... | [
"TAGS\n#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-hyunwoongko/kobart #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_r... | [
55,
117,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-hyunwoongko/kobart #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: 0... |
text-generation | transformers | hi lol | {"language": ["en"], "library_name": "transformers", "metrics": ["accuracy"], "pipeline_tag": "text-generation"} | Kalaphant/KalaBot | null | [
"transformers",
"text-generation",
"en",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:32:58+00:00 | [] | [
"en"
] | TAGS
#transformers #text-generation #en #endpoints_compatible #region-us
| hi lol | [] | [
"TAGS\n#transformers #text-generation #en #endpoints_compatible #region-us \n"
] | [
18
] | [
"TAGS\n#transformers #text-generation #en #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
# WizardLM-2-8x22B - EXL2 4.0bpw
This is a 4.0bpw EXL2 quant of [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "base_model": "microsoft/WizardLM-2-8x22B"} | Dracones/WizardLM-2-8x22B_exl2_4.0bpw | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"exl2",
"en",
"base_model:microsoft/WizardLM-2-8x22B",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-16T00:34:02+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #exl2 #en #base_model-microsoft/WizardLM-2-8x22B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| WizardLM-2-8x22B - EXL2 4.0bpw
==============================
This is a 4.0bpw EXL2 quant of microsoft/WizardLM-2-8x22B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work o... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #exl2 #en #base_model-microsoft/WizardLM-2-8x22B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Det... | [
68,
44
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #exl2 #en #base_model-microsoft/WizardLM-2-8x22B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n... |
summarization | 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. -->
# flan-t5-base-finetuned_dialougesum_version_4.0
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.c... | {"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-finetuned_dialougesum_version_4.0", "results": []}]} | Gowreesh234/flan-t5-base-finetuned_dialougesum_version_4.0 | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"summarization",
"generated_from_trainer",
"base_model:google/flan-t5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T00:35:24+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #summarization #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| flan-t5-base-finetuned\_dialougesum\_version\_4.0
=================================================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 43.2897
* Rouge1: 0.2298
* Rouge2: 0.0629
* Rougel: 0.1955
* Rougelsum... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-06\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* num\\_epochs: 1",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #summarization #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameter... | [
71,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #summarization #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were... |
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. -->
# GUE_EMP_H4-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_EMP_H4-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-16T00:35:28+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_EMP\_H4-seqsight\_8192\_512\_17M-L32\_all
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2859
* F1 Score: 0.8891
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n*... | [
43,
102,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n* optim... |
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 - ilustraviz/training_dreambooth_sofa
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "dreambooth", "diffuse... | ilustraviz/training_dreambooth_sofa | null | [
"diffusers",
"tensorboard",
"safetensors",
"text-to-image",
"dreambooth",
"diffusers-training",
"stable-diffusion",
"stable-diffusion-diffusers",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region... | null | 2024-04-16T00:37:24+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #text-to-image #dreambooth #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# DreamBooth - ilustraviz/training_dreambooth_sofa
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog using DreamBooth.
You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
DreamBooth for the text encoder was enabled:... | [
"# DreamBooth - ilustraviz/training_dreambooth_sofa\n\nThis is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog using DreamBooth.\nYou can find some example images in the following. \n\n!img_0\n!img_1\n!img_2\n!img_3\n\n\nDreamBooth for the text encoder ... | [
"TAGS\n#diffusers #tensorboard #safetensors #text-to-image #dreambooth #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"# DreamBooth - ilustraviz/tra... | [
82,
99,
6,
7,
23,
17
] | [
"TAGS\n#diffusers #tensorboard #safetensors #text-to-image #dreambooth #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n# DreamBooth - ilustraviz/training_... |
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. -->
# flan-t5-base-dialogsum-lora
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-ba... | {"license": "apache-2.0", "library_name": "peft", "tags": ["LLM PA5 peft", "generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-dialogsum-lora", "results": []}]} | ShushantLLM/flan-t5-base-dialogsum-lora | null | [
"peft",
"safetensors",
"LLM PA5 peft",
"generated_from_trainer",
"base_model:google/flan-t5-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T00:42:33+00:00 | [] | [] | TAGS
#peft #safetensors #LLM PA5 peft #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #region-us
| flan-t5-base-dialogsum-lora
===========================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3804
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
"### Training... | [
"TAGS\n#peft #safetensors #LLM PA5 peft #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed... | [
47,
100,
5,
52
] | [
"TAGS\n#peft #safetensors #LLM PA5 peft #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n... |
text-generation | transformers | Overview Cinder is an AI chatbot tailored for engaging users in scientific and educational conversations, offering companionship, and sparking imaginative exploration.
This is a depth up scalled model of the 616M cinder model and Cinder v2. This model still needs further training. Putting it up for testing. More info... | {"license": "mit"} | Josephgflowers/Tinyllama-1.5B-Cinder-Test-6 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T00:51:42+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Overview Cinder is an AI chatbot tailored for engaging users in scientific and educational conversations, offering companionship, and sparking imaginative exploration.
This is a depth up scalled model of the 616M cinder model and Cinder v2. This model still needs further training. Putting it up for testing. More info... | [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
41
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
feature-extraction | 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": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep18 | null | [
"transformers",
"safetensors",
"xlm-roberta",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:52:34+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlm-roberta #feature-extraction #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 #xlm-roberta #feature-extraction #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 au... | [
35,
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 #xlm-roberta #feature-extraction #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 genera... |
null | transformers |
# DavidAU/IvanDrogo-7B-Q6_K-GGUF
This model was converted to GGUF format from [`Noodlz/IvanDrogo-7B`](https://huggingface.co/Noodlz/IvanDrogo-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Noodlz... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": []} | DavidAU/IvanDrogo-7B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:54:13+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #endpoints_compatible #region-us
|
# DavidAU/IvanDrogo-7B-Q6_K-GGUF
This model was converted to GGUF format from 'Noodlz/IvanDrogo-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You ca... | [
"# DavidAU/IvanDrogo-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Noodlz/IvanDrogo-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nS... | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #endpoints_compatible #region-us \n",
"# DavidAU/IvanDrogo-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Noodlz/IvanDrogo-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the mod... | [
36,
73,
52
] | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #endpoints_compatible #region-us \n# DavidAU/IvanDrogo-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Noodlz/IvanDrogo-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## ... |
null | null |
# DavidAU/DolphinStar-12.5B-Q6_K-GGUF
This model was converted to GGUF format from [`Noodlz/DolphinStar-12.5B`](https://huggingface.co/Noodlz/DolphinStar-12.5B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/DolphinStar-12.5B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T00:55:32+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/DolphinStar-12.5B-Q6_K-GGUF
This model was converted to GGUF format from 'Noodlz/DolphinStar-12.5B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
"# DavidAU/DolphinStar-12.5B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Noodlz/DolphinStar-12.5B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# DavidAU/DolphinStar-12.5B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Noodlz/DolphinStar-12.5B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with UR... | [
32,
75,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# DavidAU/DolphinStar-12.5B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Noodlz/DolphinStar-12.5B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall... |
token-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. -->
# layoutlmv3-finetuned-cord_100
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "base_model": "microsoft/layoutlmv3-base", "model-index": [{"name": "layoutlmv3-finetuned-cord_100", "results": []}]} | SomnolentPro/layoutlmv3-finetuned-cord_100 | null | [
"transformers",
"tensorboard",
"safetensors",
"layoutlmv3",
"token-classification",
"generated_from_trainer",
"base_model:microsoft/layoutlmv3-base",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:55:56+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #layoutlmv3 #token-classification #generated_from_trainer #base_model-microsoft/layoutlmv3-base #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us
|
# layoutlmv3-finetuned-cord_100
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
"# layoutlmv3-finetuned-cord_100\n\nThis model is a fine-tuned version of microsoft/layoutlmv3-base 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",
"## Train... | [
"TAGS\n#transformers #tensorboard #safetensors #layoutlmv3 #token-classification #generated_from_trainer #base_model-microsoft/layoutlmv3-base #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# layoutlmv3-finetuned-cord_100\n\nThis model is a fine-tuned version of microsoft/la... | [
66,
36,
7,
9,
9,
4,
91,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #layoutlmv3 #token-classification #generated_from_trainer #base_model-microsoft/layoutlmv3-base #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us \n# layoutlmv3-finetuned-cord_100\n\nThis model is a fine-tuned version of microsoft/layoutlm... |
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": []} | galbitang/qlora-koalpaca-polyglot-12.8b-80step_user0 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T00:57:47+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 | transformers |
# etri-xainlp/SOLAR-10.7B-sft-dpo-v1
## Model Details
**Model Developers** ETRI xainlp team
**Input** text only.
**Output** text only.
**Model Architecture**
**Base Model** [davidkim205/nox-solar-10.7b-v4](https://huggingface.co/davidkim205/nox-solar-10.7b-v4)
**Training Dataset**
- sft+lora: 1,821,734... | {"license": "cc-by-nc-4.0"} | etri-xainlp/SOLAR-10.7B-sft-dpo-v1 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T00:58:13+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# etri-xainlp/SOLAR-10.7B-sft-dpo-v1
## Model Details
Model Developers ETRI xainlp team
Input text only.
Output text only.
Model Architecture
Base Model davidkim205/nox-solar-10.7b-v4
Training Dataset
- sft+lora: 1,821,734 cot set
- dpo+lora: 221,869 user preference set
- We use A100 GPU 80GB * ... | [
"# etri-xainlp/SOLAR-10.7B-sft-dpo-v1",
"## Model Details\n\nModel Developers ETRI xainlp team\n\nInput text only.\n\nOutput text only.\n\nModel Architecture \n\nBase Model davidkim205/nox-solar-10.7b-v4 \n\nTraining Dataset \n\n - sft+lora: 1,821,734 cot set\n \n - dpo+lora: 221,869 user preference set\n\n... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# etri-xainlp/SOLAR-10.7B-sft-dpo-v1",
"## Model Details\n\nModel Developers ETRI xainlp team\n\nInput text only.\n\nOutput text... | [
49,
23,
89
] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# etri-xainlp/SOLAR-10.7B-sft-dpo-v1## Model Details\n\nModel Developers ETRI xainlp team\n\nInput text only.\n\nOutput text only.\n\nMo... |
null | null | This is the Q4_K_M Version of WesPro/State-of-the-MoE_RP-2x7b-Q4_K_M-GGUF (https://huggingface.co/WesPro/State-of-the-MoE_RP-2x7B)
| {} | WesPro/State-of-the-MoE_RP-2x7b-Q4_K_M-GGUF | null | [
"gguf",
"region:us"
] | null | 2024-04-16T00:59:20+00:00 | [] | [] | TAGS
#gguf #region-us
| This is the Q4_K_M Version of WesPro/State-of-the-MoE_RP-2x7b-Q4_K_M-GGUF (URL
| [] | [
"TAGS\n#gguf #region-us \n"
] | [
9
] | [
"TAGS\n#gguf #region-us \n"
] |
null | transformers |
# DavidAU/hyperdrive-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from [`maldv/hyperdrive-7b-alpha`](https://huggingface.co/maldv/hyperdrive-7b-alpha) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hu... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["unsloth", "book", "llama-cpp", "gguf-my-repo"]} | DavidAU/hyperdrive-7b-alpha-Q6_K-GGUF | null | [
"transformers",
"gguf",
"unsloth",
"book",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:00:29+00:00 | [] | [] | TAGS
#transformers #gguf #unsloth #book #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
# DavidAU/hyperdrive-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from 'maldv/hyperdrive-7b-alpha' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/hyperdrive-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/hyperdrive-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\n... | [
"TAGS\n#transformers #gguf #unsloth #book #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n",
"# DavidAU/hyperdrive-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/hyperdrive-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model... | [
49,
75,
52
] | [
"TAGS\n#transformers #gguf #unsloth #book #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n# DavidAU/hyperdrive-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/hyperdrive-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card ... |
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. -->
# ruBert-base-sberquad-0.001-len_4-filtered-negative-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://hug... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.001-len_4-filtered-negative-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.001-len_4-filtered-negative-v2 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T01:01:13+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.001-len_4-filtered-negative-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
"# ruBert-base-sberquad-0.001-len_4-filtered-negative-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n",
"# ruBert-base-sberquad-0.001-len_4-filtered-negative-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore in... | [
42,
48,
7,
9,
9,
4,
92,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n# ruBert-base-sberquad-0.001-len_4-filtered-negative-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.## Model description\n\nMore information ne... |
null | 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-distilled-squad-BiLSTM-finetuned-SRH-v3
This model is a fine-tuned version of [allistair99/distilbert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["srh_test66"], "base_model": "allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1", "model-index": [{"name": "distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-v3", "results": []}]} | allistair99/distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-v3 | null | [
"transformers",
"safetensors",
"distilbert",
"generated_from_trainer",
"dataset:srh_test66",
"base_model:allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:01:35+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #generated_from_trainer #dataset-srh_test66 #base_model-allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1 #license-apache-2.0 #endpoints_compatible #region-us
|
# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-v3
This model is a fine-tuned version of allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1 on the srh_test66 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training... | [
"# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-v3\n\nThis model is a fine-tuned version of allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1 on the srh_test66 dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information nee... | [
"TAGS\n#transformers #safetensors #distilbert #generated_from_trainer #dataset-srh_test66 #base_model-allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1 #license-apache-2.0 #endpoints_compatible #region-us \n",
"# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-v3\n\nThis model is a... | [
78,
78,
7,
9,
9,
4,
106,
5,
44
] | [
"TAGS\n#transformers #safetensors #distilbert #generated_from_trainer #dataset-srh_test66 #base_model-allistair99/distilbert-base-uncased-distilled-squad-finetuned-SRH-v1 #license-apache-2.0 #endpoints_compatible #region-us \n# distilbert-base-uncased-distilled-squad-BiLSTM-finetuned-SRH-v3\n\nThis model is a fine-... |
null | transformers |
# DavidAU/dragonwar-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from [`maldv/dragonwar-7b-alpha`](https://huggingface.co/maldv/dragonwar-7b-alpha) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggi... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["unsloth", "book", "llama-cpp", "gguf-my-repo"]} | DavidAU/dragonwar-7b-alpha-Q6_K-GGUF | null | [
"transformers",
"gguf",
"unsloth",
"book",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:01:41+00:00 | [] | [] | TAGS
#transformers #gguf #unsloth #book #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #endpoints_compatible #region-us
|
# DavidAU/dragonwar-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from 'maldv/dragonwar-7b-alpha' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
N... | [
"# DavidAU/dragonwar-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/dragonwar-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCL... | [
"TAGS\n#transformers #gguf #unsloth #book #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n",
"# DavidAU/dragonwar-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/dragonwar-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model c... | [
49,
75,
52
] | [
"TAGS\n#transformers #gguf #unsloth #book #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n# DavidAU/dragonwar-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/dragonwar-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card fo... |
null | transformers |
# DavidAU/electric-mist-7b-Q6_K-GGUF
This model was converted to GGUF format from [`maldv/electric-mist-7b`](https://huggingface.co/maldv/electric-mist-7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "llama-cpp", "gguf-my-repo"], "datasets": ["maldv/cyberpunk", "microsoft/orca-math-word-problems-200k", "Weyaxi/sci-datasets", "grimulkan/theory-of-mind", "ResplendentAI/Synthetic_Soul_1k", "Graph... | DavidAU/electric-mist-7b-Q6_K-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"mistral",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:maldv/cyberpunk",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:Weyaxi/sci-datasets",
"dataset:grimulkan/theory-of-mind",
"dataset:ResplendentAI/Synthetic_Soul_... | null | 2024-04-16T01:02:53+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #mistral #llama-cpp #gguf-my-repo #en #dataset-maldv/cyberpunk #dataset-microsoft/orca-math-word-problems-200k #dataset-Weyaxi/sci-datasets #dataset-grimulkan/theory-of-mind #dataset-ResplendentAI/Synthetic_Soul_1k #dataset-GraphWiz/GraphInstruct-RFT-72K #bas... |
# DavidAU/electric-mist-7b-Q6_K-GGUF
This model was converted to GGUF format from 'maldv/electric-mist-7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# DavidAU/electric-mist-7b-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/electric-mist-7b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n... | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #llama-cpp #gguf-my-repo #en #dataset-maldv/cyberpunk #dataset-microsoft/orca-math-word-problems-200k #dataset-Weyaxi/sci-datasets #dataset-grimulkan/theory-of-mind #dataset-ResplendentAI/Synthetic_Soul_1k #dataset-GraphWiz/GraphInstruct-RFT-72... | [
166,
73,
52
] | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #llama-cpp #gguf-my-repo #en #dataset-maldv/cyberpunk #dataset-microsoft/orca-math-word-problems-200k #dataset-Weyaxi/sci-datasets #dataset-grimulkan/theory-of-mind #dataset-ResplendentAI/Synthetic_Soul_1k #dataset-GraphWiz/GraphInstruct-RFT-72... |
text-to-image | diffusers |
## Dark-Sushi-2.5D-v4R
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeli... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Dark-Sushi-2.5D-v4R | null | [
"diffusers",
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-16T01:03:38+00:00 | [] | [] | TAGS
#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| Dark-Sushi-2.5D-v4R
-------------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. N... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
"TAGS\n#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n*... | [
53,
5,
53,
20,
29
] | [
"TAGS\n#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n### API Reference#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text... |
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. -->
# GUE_EMP_H3-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_EMP_H3-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-16T01:03:55+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_EMP\_H3-seqsight\_8192\_512\_17M-L32\_all
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3842
* F1 Score: 0.8543
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
43,
102,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
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. -->
# gemma-2b-dolly-qa
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generat... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-2b", "model-index": [{"name": "gemma-2b-dolly-qa", "results": []}]} | SSK0908/gemma-2b-dolly-qa | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:google/gemma-2b",
"license:gemma",
"region:us"
] | null | 2024-04-16T01:05:40+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us
| gemma-2b-dolly-qa
=================
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1557
Model description
-----------------
Fine-tuning learning progress.
Training and evaluation data
--------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n... | [
44,
141,
5,
52
] | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-google/gemma-2b #license-gemma #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed... |
text-generation | transformers |
# NeuralSOTA-7B-slerp
NeuralSOTA-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kukedlc/NeuralSoTa-7b-v0.1](https://huggingface.co/Kukedlc/NeuralSoTa-7b-v0.1)
* [Kukedlc/NeuralSynthesis-7B-v0.3](https://huggin... | {"tags": ["merge", "mergekit", "lazymergekit", "Kukedlc/NeuralSoTa-7b-v0.1", "Kukedlc/NeuralSynthesis-7B-v0.3", "Kukedlc/NeuralSirKrishna-7b"], "base_model": ["Kukedlc/NeuralSoTa-7b-v0.1", "Kukedlc/NeuralSynthesis-7B-v0.3", "Kukedlc/NeuralSirKrishna-7b"]} | Kukedlc/NeuralSOTA-7B-slerp | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"Kukedlc/NeuralSoTa-7b-v0.1",
"Kukedlc/NeuralSynthesis-7B-v0.3",
"Kukedlc/NeuralSirKrishna-7b",
"base_model:Kukedlc/NeuralSoTa-7b-v0.1",
"base_model:Kukedlc/NeuralSynthesis-7B-v0.3",
"base_model... | null | 2024-04-16T01:08:25+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #Kukedlc/NeuralSoTa-7b-v0.1 #Kukedlc/NeuralSynthesis-7B-v0.3 #Kukedlc/NeuralSirKrishna-7b #base_model-Kukedlc/NeuralSoTa-7b-v0.1 #base_model-Kukedlc/NeuralSynthesis-7B-v0.3 #base_model-Kukedlc/NeuralSirKrishna-7b #autotrain_compati... |
# NeuralSOTA-7B-slerp
NeuralSOTA-7B-slerp is a merge of the following models using LazyMergekit:
* Kukedlc/NeuralSoTa-7b-v0.1
* Kukedlc/NeuralSynthesis-7B-v0.3
* Kukedlc/NeuralSirKrishna-7b
## Configuration
## Usage
| [
"# NeuralSOTA-7B-slerp\n\nNeuralSOTA-7B-slerp is a merge of the following models using LazyMergekit:\n* Kukedlc/NeuralSoTa-7b-v0.1\n* Kukedlc/NeuralSynthesis-7B-v0.3\n* Kukedlc/NeuralSirKrishna-7b",
"## Configuration",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #Kukedlc/NeuralSoTa-7b-v0.1 #Kukedlc/NeuralSynthesis-7B-v0.3 #Kukedlc/NeuralSirKrishna-7b #base_model-Kukedlc/NeuralSoTa-7b-v0.1 #base_model-Kukedlc/NeuralSynthesis-7B-v0.3 #base_model-Kukedlc/NeuralSirKrishna-7b #autotrain_c... | [
144,
78,
3,
3
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #Kukedlc/NeuralSoTa-7b-v0.1 #Kukedlc/NeuralSynthesis-7B-v0.3 #Kukedlc/NeuralSirKrishna-7b #base_model-Kukedlc/NeuralSoTa-7b-v0.1 #base_model-Kukedlc/NeuralSynthesis-7B-v0.3 #base_model-Kukedlc/NeuralSirKrishna-7b #autotrain_c... |
audio-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. -->
# pingpong-music_genres_classification-finetuned-finetuned-gtzan-finetuned-gtzan
This model is a fine-tuned version of [Yash03813/... | {"tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "Yash03813/pingpong-music_genres_classification-finetuned-finetuned-gtzan", "model-index": [{"name": "pingpong-music_genres_classification-finetuned-finetuned-gtzan-finetuned-gtzan", "results": [{"task": {"type": ... | ThatOrJohn/pingpong-music_genres_classification-finetuned-finetuned-gtzan-finetuned-gtzan | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"dataset:marsyas/gtzan",
"base_model:Yash03813/pingpong-music_genres_classification-finetuned-finetuned-gtzan",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:08:26+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #audio-classification #generated_from_trainer #dataset-marsyas/gtzan #base_model-Yash03813/pingpong-music_genres_classification-finetuned-finetuned-gtzan #model-index #endpoints_compatible #region-us
| pingpong-music\_genres\_classification-finetuned-finetuned-gtzan-finetuned-gtzan
================================================================================
This model is a fine-tuned version of Yash03813/pingpong-music\_genres\_classification-finetuned-finetuned-gtzan on the GTZAN dataset.
It achieves the follo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #audio-classification #generated_from_trainer #dataset-marsyas/gtzan #base_model-Yash03813/pingpong-music_genres_classification-finetuned-finetuned-gtzan #model-index #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyp... | [
80,
153,
5,
47
] | [
"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #audio-classification #generated_from_trainer #dataset-marsyas/gtzan #base_model-Yash03813/pingpong-music_genres_classification-finetuned-finetuned-gtzan #model-index #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperpara... |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
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 framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_gamma98_v1 | null | [
"stable-baselines3",
"ALE/Pacman-v5",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-16T01:08:28+00:00 | [] | [] | TAGS
#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
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 included.
## Usage (with S... | [
"# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\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-trained agents included.",
"#... | [
"TAGS\n#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework fo... | [
33,
73,
76,
10,
6,
3
] | [
"TAGS\n#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stab... |
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. -->
# LoRA DreamBooth - Oscarbigheadfish/mousecheckpoint
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "diffusers", "lora", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "lora", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "runwayml/... | Oscarbigheadfish/mousecheckpoint | null | [
"diffusers",
"text-to-image",
"lora",
"diffusers-training",
"stable-diffusion",
"stable-diffusion-diffusers",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-16T01:09:04+00:00 | [] | [] | TAGS
#diffusers #text-to-image #lora #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us
|
# LoRA DreamBooth - Oscarbigheadfish/mousecheckpoint
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of ltech computer mouse using DreamBooth. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
LoRA for the text encoder was ena... | [
"# LoRA DreamBooth - Oscarbigheadfish/mousecheckpoint\n\nThese are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of ltech computer mouse using DreamBooth. You can find some example images in the following. \n\n!img_0\n!img_1\n!img_2\n!img_3\n\n\nLoRA for the text enco... | [
"TAGS\n#diffusers #text-to-image #lora #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us \n",
"# LoRA DreamBooth - Oscarbigheadfish/mousecheckpoint\n\nThese are LoRA adaption weights for runwayml/stable-diffusion-... | [
59,
97,
6,
7,
23,
17
] | [
"TAGS\n#diffusers #text-to-image #lora #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us \n# LoRA DreamBooth - Oscarbigheadfish/mousecheckpoint\n\nThese are LoRA adaption weights for runwayml/stable-diffusion-v1-5. ... |
null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | {"library_name": "peft"} | Rimyy/LLAmaFineTuneMath16 | null | [
"peft",
"region:us"
] | null | 2024-04-16T01:09:52+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | [
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- quant_method: bitsandbytes\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n-... | [
"TAGS\n#peft #region-us \n",
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- quant_method: bitsandbytes\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm... | [
8,
154,
13
] | [
"TAGS\n#peft #region-us \n## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- quant_method: bitsandbytes\n- load_in_8bit: False\n- load_in_4bit: True\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_... |
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. -->
# llama-poison-10p
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-h... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama-poison-10p", "results": []}]} | terry69/llama-poison-10p | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"region:us"
] | null | 2024-04-16T01:11:20+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
| llama-poison-10p
================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0029
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\... | [
47,
176,
5,
55
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* dis... |
text-to-image | null |
## XL-more-enhancer
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/mod... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/XL-more-enhancer | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-16T01:11:50+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| XL-more-enhancer
----------------
![Generated on Image Pipeline]()
This lora model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment re... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
"TAGS\n#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us \n",
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_... | [
35,
5,
53,
20,
29
] | [
"TAGS\n#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us \n### API Reference#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to... |
text-to-image | diffusers | # cw
<Gallery />
## Download model
[Download](/ZackyBoy/clonewars/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "clone wars styled, detailed", "parameters": {"negative_prompt": "blurry"}, "output": {"url": "images/8-zUF3sOewwpZFCVo-removebg-preview.png"}}], "base_model": "cagliostrolab/animagine-xl-3.1"} | ZackyBoy/clonewars | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:cagliostrolab/animagine-xl-3.1",
"region:us"
] | null | 2024-04-16T01:18:31+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.1 #region-us
| # cw
<Gallery />
## Download model
Download them in the Files & versions tab.
| [
"# cw\n\n<Gallery />",
"## Download model\n\n\nDownload them in the Files & versions tab."
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.1 #region-us \n",
"# cw\n\n<Gallery />",
"## Download model\n\n\nDownload them in the Files & versions tab."
] | [
49,
6,
13
] | [
"TAGS\n#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-cagliostrolab/animagine-xl-3.1 #region-us \n# cw\n\n<Gallery />## Download model\n\n\nDownload them in the Files & versions tab."
] |
text-generation | null |
# Model Card for MediaTek Research Breeze-7B-Instruct-v1_0
MediaTek Research Breeze-7B (hereinafter referred to as Breeze-7B) is a language model family that builds on top of [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-v0.1), specifically intended for Traditional Chinese use.
[Breeze-7B-Base](https://hu... | {"language": ["zh", "en"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | ZoneTwelve/Breeze-7B-Instruct-v1_0-GGUF | null | [
"gguf",
"text-generation",
"zh",
"en",
"arxiv:2403.02712",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T01:19:58+00:00 | [
"2403.02712"
] | [
"zh",
"en"
] | TAGS
#gguf #text-generation #zh #en #arxiv-2403.02712 #license-apache-2.0 #region-us
| Model Card for MediaTek Research Breeze-7B-Instruct-v1\_0
=========================================================
MediaTek Research Breeze-7B (hereinafter referred to as Breeze-7B) is a language model family that builds on top of Mistral-7B, specifically intended for Traditional Chinese use.
Breeze-7B-Base is the... | [] | [
"TAGS\n#gguf #text-generation #zh #en #arxiv-2403.02712 #license-apache-2.0 #region-us \n"
] | [
37
] | [
"TAGS\n#gguf #text-generation #zh #en #arxiv-2403.02712 #license-apache-2.0 #region-us \n"
] |
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. -->
# CodeLlama-7b-Python-hf
This model is a fine-tuned version of [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama... | {"license": "other", "library_name": "peft", "tags": ["llama-factory", "lora", "generated_from_trainer"], "base_model": "codellama/CodeLlama-7b-Python-hf", "model-index": [{"name": "CodeLlama-7b-Python-hf", "results": []}]} | MatrixStudio/Instruct-Code-LLaMA-DPO-LoRA | null | [
"peft",
"safetensors",
"llama-factory",
"lora",
"generated_from_trainer",
"base_model:codellama/CodeLlama-7b-Python-hf",
"license:other",
"region:us"
] | null | 2024-04-16T01:21:44+00:00 | [] | [] | TAGS
#peft #safetensors #llama-factory #lora #generated_from_trainer #base_model-codellama/CodeLlama-7b-Python-hf #license-other #region-us
|
# CodeLlama-7b-Python-hf
This model is a fine-tuned version of codellama/CodeLlama-7b-Python-hf on the codeforces_python_submissions_rl dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
"# CodeLlama-7b-Python-hf\n\nThis model is a fine-tuned version of codellama/CodeLlama-7b-Python-hf on the codeforces_python_submissions_rl dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore inform... | [
"TAGS\n#peft #safetensors #llama-factory #lora #generated_from_trainer #base_model-codellama/CodeLlama-7b-Python-hf #license-other #region-us \n",
"# CodeLlama-7b-Python-hf\n\nThis model is a fine-tuned version of codellama/CodeLlama-7b-Python-hf on the codeforces_python_submissions_rl dataset.",
"## Model desc... | [
50,
51,
7,
9,
9,
4,
115,
5,
56
] | [
"TAGS\n#peft #safetensors #llama-factory #lora #generated_from_trainer #base_model-codellama/CodeLlama-7b-Python-hf #license-other #region-us \n# CodeLlama-7b-Python-hf\n\nThis model is a fine-tuned version of codellama/CodeLlama-7b-Python-hf on the codeforces_python_submissions_rl dataset.## Model description\n\nM... |
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. -->
# v5_trained_weigths
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "v5_trained_weigths", "results": []}]} | AmirlyPhd/v5_trained_weigths | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"region:us"
] | null | 2024-04-16T01:24:21+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
| v5\_trained\_weigths
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6753
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: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #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: 1\n* eval\\_batch\\_size: 8\n* seed: 42\... | [
47,
155,
5,
51
] | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #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: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* gra... |
text-generation | null |
# DavidAU/winter-garden-7b-gamma-Q6_K-GGUF
This model was converted to GGUF format from [`maldv/winter-garden-7b-gamma`](https://huggingface.co/maldv/winter-garden-7b-gamma) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"license": "cc-by-nc-4.0", "tags": ["merge", "conversational", "multi-task", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/winter-garden-7b-gamma-Q6_K-GGUF | null | [
"gguf",
"merge",
"conversational",
"multi-task",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-16T01:26:09+00:00 | [] | [] | TAGS
#gguf #merge #conversational #multi-task #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #region-us
|
# DavidAU/winter-garden-7b-gamma-Q6_K-GGUF
This model was converted to GGUF format from 'maldv/winter-garden-7b-gamma' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serv... | [
"# DavidAU/winter-garden-7b-gamma-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/winter-garden-7b-gamma' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CL... | [
"TAGS\n#gguf #merge #conversational #multi-task #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #region-us \n",
"# DavidAU/winter-garden-7b-gamma-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/winter-garden-7b-gamma' using URL via the URL's GGUF-my-repo space.\nRefer to the origina... | [
49,
77,
52
] | [
"TAGS\n#gguf #merge #conversational #multi-task #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #region-us \n# DavidAU/winter-garden-7b-gamma-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/winter-garden-7b-gamma' using URL via the URL's GGUF-my-repo space.\nRefer to the original mode... |
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. -->
# flan-t5-base-combined
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-combined", "results": []}]} | TerryLaw535/flan-t5-base-combined | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/flan-t5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T01:30:06+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| flan-t5-base-combined
=====================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9756
* Rouge1: 41.6396
* Rouge2: 16.2853
* Rougel: 30.6526
* Rougelsum: 38.3228
* Gen Len: 96.9400
Model description
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used dur... | [
67,
101,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during tr... |
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": []} | eix9mm/llm_pr_model_full | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:33:15+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 | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [GamblerOnTrain/danke20a](https://huggingfac... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["GamblerOnTrain/danke20a", "GamblerOnTrain/danke30a"]} | Sumail/Ame4 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:GamblerOnTrain/danke20a",
"base_model:GamblerOnTrain/danke30a",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:34:51+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-GamblerOnTrain/danke20a #base_model-GamblerOnTrain/danke30a #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* GamblerOnTrain/danke20a
* GamblerOnTrain/danke30a
### Configuration
The followi... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* GamblerOnTrain/danke20a\n* GamblerOnTrain/danke30a",
"... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-GamblerOnTrain/danke20a #base_model-GamblerOnTrain/danke30a #autotrain_compatible #endpoints_compatible #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"... | [
62,
17,
4,
17,
32,
16
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-GamblerOnTrain/danke20a #base_model-GamblerOnTrain/danke30a #autotrain_compatible #endpoints_compatible #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Det... |
text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | guantou-li/health-care-finetune | null | [
"transformers",
"tensorboard",
"safetensors",
"autotrain",
"text-generation-inference",
"text-generation",
"peft",
"conversational",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:35:18+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
| [
"# Model Trained Using AutoTrain\n\nThis model was trained using AutoTrain. For more information, please visit AutoTrain.",
"# Usage"
] | [
"TAGS\n#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us \n",
"# Model Trained Using AutoTrain\n\nThis model was trained using AutoTrain. For more information, please visit AutoTrain.",
"# Usage"
] | [
42,
23,
2
] | [
"TAGS\n#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us \n# Model Trained Using AutoTrain\n\nThis model was trained using AutoTrain. For more information, please visit AutoTrain.# Usage"
] |
token-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": []} | AwesomeREK/concept-extraction-xlnet-reduced-distant-early-stopping-p2p-self-trained | null | [
"transformers",
"safetensors",
"xlnet",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:35:18+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlnet #token-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 #xlnet #token-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 mode... | [
38,
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 #xlnet #token-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 au... |
text-generation | transformers |
# Model Card for Model ID
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
MoM: Mixture of Mixture
This Model is a first test to combine [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1) architecture with 1.58 bits linear layers, mixture of attention head and mixtu... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moah", "mod"], "datasets": ["Locutusque/UltraTextbooks"]} | Ostixe360/MoMv3-1.58bits | null | [
"transformers",
"safetensors",
"text-generation",
"moe",
"moah",
"mod",
"en",
"dataset:Locutusque/UltraTextbooks",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:35:37+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation #moe #moah #mod #en #dataset-Locutusque/UltraTextbooks #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
MoM: Mixture of Mixture
This Model is a first test to combine Jamba architecture with 1.58 bits linear layers, mixture of attention head and mixture of depth.
The goal is to developpe and test if this kind of architectures have not too much qualit... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nMoM: Mixture of Mixture\n\nThis Model is a first test to combine Jamba architecture with 1.58 bits linear layers, mixture of attention head and mixture of depth.\n\nThe goal is to developpe and test if this kind of architectures have... | [
"TAGS\n#transformers #safetensors #text-generation #moe #moah #mod #en #dataset-Locutusque/UltraTextbooks #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nMoM: Mixture of Mixture\n\nThis Model is a fi... | [
54,
6,
4,
92,
13,
25,
19,
25,
18,
25,
32,
4,
5,
12,
13
] | [
"TAGS\n#transformers #safetensors #text-generation #moe #moah #mod #en #dataset-Locutusque/UltraTextbooks #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nMoM: Mixture of Mixture\n\nThis Model is a first test to combin... |
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. -->
# ruBert-base-sberquad-0.005-len_2-filtered-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-len_2-filtered-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-len_2-filtered-v2 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T01:35:52+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.005-len_2-filtered-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
"# ruBert-base-sberquad-0.005-len_2-filtered-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base 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",... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n",
"# ruBert-base-sberquad-0.005-len_2-filtered-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore information... | [
42,
47,
7,
9,
9,
4,
92,
5,
52
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n# ruBert-base-sberquad-0.005-len_2-filtered-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.## Model description\n\nMore information needed## In... |
token-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": []} | AwesomeREK/concept-extraction-xlnet-distant-early-stopping-p2p-self-trained | null | [
"transformers",
"safetensors",
"xlnet",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:36:04+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlnet #token-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 #xlnet #token-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 mode... | [
38,
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 #xlnet #token-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 au... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Undi95/Dawn-v2-70B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Dawn-v2-70B-i1-GGUF
##... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "base_model": "Undi95/Dawn-v2-70B", "quantized_by": "mradermacher"} | mradermacher/Dawn-v2-70B-GGUF | null | [
"transformers",
"gguf",
"not-for-all-audiences",
"nsfw",
"en",
"base_model:Undi95/Dawn-v2-70B",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:37:37+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #not-for-all-audiences #nsfw #en #base_model-Undi95/Dawn-v2-70B #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix 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 #not-for-all-audiences #nsfw #en #base_model-Undi95/Dawn-v2-70B #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
59
] | [
"TAGS\n#transformers #gguf #not-for-all-audiences #nsfw #en #base_model-Undi95/Dawn-v2-70B #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers |
# WizardLM-2-8x22B - EXL2 3.5bpw
This is a 3.5bpw EXL2 quant of [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "base_model": "microsoft/WizardLM-2-8x22B"} | Dracones/WizardLM-2-8x22B_exl2_3.5bpw | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"exl2",
"en",
"base_model:microsoft/WizardLM-2-8x22B",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T01:37:46+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #exl2 #en #base_model-microsoft/WizardLM-2-8x22B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| WizardLM-2-8x22B - EXL2 3.5bpw
==============================
This is a 3.5bpw EXL2 quant of microsoft/WizardLM-2-8x22B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work o... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #exl2 #en #base_model-microsoft/WizardLM-2-8x22B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-... | [
64,
44
] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #exl2 #en #base_model-microsoft/WizardLM-2-8x22B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------... |
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. -->
# flan-t5-small-combined
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-small", "model-index": [{"name": "flan-t5-small-combined", "results": []}]} | lkh9908/flan-t5-small-combined | null | [
"transformers",
"pytorch",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:google/flan-t5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T01:41:50+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| flan-t5-small-combined
======================
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2412
* Rouge1: 37.7222
* Rouge2: 13.7845
* Rougel: 28.5059
* Rougelsum: 34.2992
* Gen Len: 99.5077
Model description
--... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
"TAGS\n#transformers #pytorch #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters wer... | [
72,
101,
5,
44
] | [
"TAGS\n#transformers #pytorch #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used... |
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. -->
# GUE_EMP_H4ac-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-16T01:42:13+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_EMP\_H4ac-seqsight\_8192\_512\_17M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8498
* F1 Score: 0.70... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
43,
102,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
text-generation | transformers |
# Ognoexperiment27multi_verse_modelCalmexperiment-7B
Ognoexperiment27multi_verse_modelCalmexperiment-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [allknowingroger/CalmExperiment-7B-slerp](https://huggingface.co/allknowingroger/CalmExperimen... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["allknowingroger/CalmExperiment-7B-slerp"]} | automerger/Ognoexperiment27multi_verse_modelCalmexperiment-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:allknowingroger/CalmExperiment-7B-slerp",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T01:43:04+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-allknowingroger/CalmExperiment-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Ognoexperiment27multi_verse_modelCalmexperiment-7B
Ognoexperiment27multi_verse_modelCalmexperiment-7B is an automated merge created by Maxime Labonne using the following configuration.
* allknowingroger/CalmExperiment-7B-slerp
## Configuration
## Usage
| [
"# Ognoexperiment27multi_verse_modelCalmexperiment-7B\n\nOgnoexperiment27multi_verse_modelCalmexperiment-7B is an automated merge created by Maxime Labonne using the following configuration.\n* allknowingroger/CalmExperiment-7B-slerp",
"## Configuration",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-allknowingroger/CalmExperiment-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Ognoexperiment27multi_verse_modelCalmexperiment-7... | [
80,
82,
3,
3
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-allknowingroger/CalmExperiment-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Ognoexperiment27multi_verse_modelCalmexperiment-7B\n\nO... |
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": "mistralai/Mistral-7B-Instruct-v0.2"} | Charishma27/sft_mistral_500_steps | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"region:us"
] | null | 2024-04-16T01:43:31+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #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 #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #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: ... | [
44,
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,
13
] | [
"TAGS\n#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #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 from... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Metaspectral/Tai
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Tai-i1-GGUF
## Usage
If... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "Metaspectral/Tai", "quantized_by": "mradermacher"} | mradermacher/Tai-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Metaspectral/Tai",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:43:49+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Metaspectral/Tai #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix 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 #en #base_model-Metaspectral/Tai #license-llama2 #endpoints_compatible #region-us \n"
] | [
35
] | [
"TAGS\n#transformers #gguf #en #base_model-Metaspectral/Tai #license-llama2 #endpoints_compatible #region-us \n"
] |
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. -->
# GUE_EMP_H3K79me3-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-16T01:44:28+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_8192\_512\_17M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4560
* F1... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
43,
102,
5,
52
] | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
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. -->
# ruBert-base-sberquad-0.005-len_3-filtered
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-len_3-filtered", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-len_3-filtered | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T01:44:57+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.005-len_3-filtered
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# ruBert-base-sberquad-0.005-len_3-filtered\n\nThis model is a fine-tuned version of ai-forever/ruBert-base 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",
... | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n",
"# ruBert-base-sberquad-0.005-len_3-filtered\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
"## Model description\n\nMore information ne... | [
42,
44,
7,
9,
9,
4,
109,
5,
58
] | [
"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us \n# ruBert-base-sberquad-0.005-len_3-filtered\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.## Model description\n\nMore information needed## Inten... |
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": []} | Grayx/sad_pepe_28 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:46:14+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 | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [WizardLM/WizardMath-7B-V1.1](https://huggin... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["WizardLM/WizardMath-7B-V1.1", "NousResearch/Hermes-2-Pro-Mistral-7B"]} | mergekit-community/mergekit-slerp-egyyxzs | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:WizardLM/WizardMath-7B-V1.1",
"base_model:NousResearch/Hermes-2-Pro-Mistral-7B",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T01:47:43+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-WizardLM/WizardMath-7B-V1.1 #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* WizardLM/WizardMath-7B-V1.1
* NousResearch/Hermes-2-Pro-Mistral-7B
### Configura... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* WizardLM/WizardMath-7B-V1.1\n* NousResearch/Hermes-2-Pro... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-WizardLM/WizardMath-7B-V1.1 #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# merge\n\nThis is a merge of pre-trained la... | [
83,
17,
4,
17,
47,
16
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-WizardLM/WizardMath-7B-V1.1 #base_model-NousResearch/Hermes-2-Pro-Mistral-7B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# merge\n\nThis is a merge of pre-trained language... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.