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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DreadPoor/Chimera-7B-slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "DreadPoor/Satyr-7B-Model_Stock", "DreadPoor/Sphinx-7B-Model_Stock"], "base_model": "DreadPoor/Chimera-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/Chimera-7B-slerp-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"DreadPoor/Satyr-7B-Model_Stock",
"DreadPoor/Sphinx-7B-Model_Stock",
"en",
"base_model:DreadPoor/Chimera-7B-slerp",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T03:13:26+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #DreadPoor/Satyr-7B-Model_Stock #DreadPoor/Sphinx-7B-Model_Stock #en #base_model-DreadPoor/Chimera-7B-slerp #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #DreadPoor/Satyr-7B-Model_Stock #DreadPoor/Sphinx-7B-Model_Stock #en #base_model-DreadPoor/Chimera-7B-slerp #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
82
] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #DreadPoor/Satyr-7B-Model_Stock #DreadPoor/Sphinx-7B-Model_Stock #en #base_model-DreadPoor/Chimera-7B-slerp #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers | A Mistral-7B pruned50
Please see my tutorial to execute this model:
https://vilsonrodrigues.medium.com/sparse-quantize-and-serving-llms-with-neuralmagic-autogptq-and-vllm-03961b72ec3a | {"license": "apache-2.0", "tags": ["mistral", "pruned"]} | vilsonrodrigues/Hermes-2-Pro-Mistral-7B-Pruned50 | null | [
"transformers",
"pytorch",
"mistral",
"text-generation",
"pruned",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T03:13:33+00:00 | [] | [] | TAGS
#transformers #pytorch #mistral #text-generation #pruned #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| A Mistral-7B pruned50
Please see my tutorial to execute this model:
URL | [] | [
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] |
null | null |
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k-Q4_K_S-GGUF
This model was converted to GGUF format from [`TeeZee/GALAXY_v03_slimorca_1_epoch_50k`](https://huggingface.co/TeeZee/GALAXY_v03_slimorca_1_epoch_50k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/SlimOrca"], "model-index": [{"name": "GALAXY_v03_slimorca_1_epoch_50k", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type... | DavidAU/GALAXY_v03_slimorca_1_epoch_50k-Q4_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Open-Orca/SlimOrca",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-09T03:16:06+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/SlimOrca #license-apache-2.0 #model-index #region-us
|
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k-Q4_K_S-GGUF
This model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k' 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 t... | [
"# DavidAU/GALAXY_v03_slimorca_1_epoch_50k-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k' 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... | [
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automatic-speech-recognition | transformers.js | ERROR: type should be string, got "\nhttps://hf.co/vinai/PhoWhisper-base with ONNX weights to be compatible with Transformers.js.\n\nPlease check out this demo using the model:\n[](https://huggingface.co/spaces/huuquyet/PhoWhisper-next)\n\n# PhoWhisper: Automatic Speech Recognition for Vietnamese\n\n\nWe introduce **PhoWhisper** in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-tuning the multilingual [Whisper](https://github.com/openai/whisper) on an 844-hour dataset that encompasses diverse Vietnamese accents. Our experimental study demonstrates state-of-the-art performances of PhoWhisper on benchmark Vietnamese ASR datasets. Please **cite** our PhoWhisper paper when it is used to help produce published results or is incorporated into other software:\n\n```\n@inproceedings{PhoWhisper,\n title = {{PhoWhisper: Automatic Speech Recognition for Vietnamese}},\n author = {Thanh-Thien Le and Linh The Nguyen and Dat Quoc Nguyen},\n booktitle = {Proceedings of the ICLR 2024 Tiny Papers track},\n year = {2024}\n}\n```\n\nFor further information or requests, please go to [PhoWhisper's homepage](https://github.com/VinAIResearch/PhoWhisper)!" | {"language": ["vi"], "license": "wtfpl", "library_name": "transformers.js", "tags": ["audio", "automatic-speech-recognition", "hf-asr-leaderboard"], "pipeline_tag": "automatic-speech-recognition", "widget": [{"example_title": "Librispeech sample 1", "src": "https://cdn-media.huggingface.co/speech_samples/sample1.flac"}... | huuquyet/PhoWhisper-base | null | [
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"automatic-speech-recognition",
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|
URL with ONNX weights to be compatible with URL.
Please check out this demo using the model:
![Open in Spaces](URL
# PhoWhisper: Automatic Speech Recognition for Vietnamese
We introduce PhoWhisper in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-tun... | [
"# PhoWhisper: Automatic Speech Recognition for Vietnamese\n\n\nWe introduce PhoWhisper in five versions for Vietnamese automatic speech recognition. PhoWhisper's robustness is achieved through fine-tuning the multilingual Whisper on an 844-hour dataset that encompasses diverse Vietnamese accents. Our experime... | [
"TAGS\n#transformers.js #onnx #whisper #automatic-speech-recognition #audio #hf-asr-leaderboard #vi #license-wtfpl #has_space #region-us \n",
"# PhoWhisper: Automatic Speech Recognition for Vietnamese\n\n\nWe introduce PhoWhisper in five versions for Vietnamese automatic speech recognition. PhoWhisper's robus... | [
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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/unstable_58 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T03:20:58+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... | [
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"TAGS\n#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
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text-classification | bertopic |
# topic_model_general_auto_april8
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | Thang203/topic_model_general_auto_april8 | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-09T03:24:40+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| topic\_model\_general\_auto\_april8
===================================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the... | [] | [
"TAGS\n#bertopic #text-classification #region-us \n"
] | [
13
] | [
"TAGS\n#bertopic #text-classification #region-us \n"
] |
text-classification | bertopic |
# topic_model_general_normal_april8
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip insta... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | Thang203/topic_model_general_normal_april8 | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-09T03:24:45+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| topic\_model\_general\_normal\_april8
=====================================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use... | [] | [
"TAGS\n#bertopic #text-classification #region-us \n"
] | [
13
] | [
"TAGS\n#bertopic #text-classification #region-us \n"
] |
null | null |
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q8_0-GGUF
This model was converted to GGUF format from [`TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k`](https://huggingface.co/TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/SlimOrca", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "da... | DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Open-Orca/SlimOrca",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-09T03:25:13+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/SlimOrca #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us
|
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q8_0-GGUF
This model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k' 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... | [
"# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q8_0-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k' 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... | [
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"# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q8_0-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_e... | [
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text2text-generation | transformers |
This is a model designed to translate French sentence into English.
This is also the capstone project made by Lyu Zhendong, Nandini Upadhyay, Aswin Abraham. This is the final version of our model. | {"license": "apache-2.0"} | lyueclaircie/translateelite | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T03:25:37+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
This is a model designed to translate French sentence into English.
This is also the capstone project made by Lyu Zhendong, Nandini Upadhyay, Aswin Abraham. This is the final version of our model. | [] | [
"TAGS\n#transformers #safetensors #bart #text2text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n"
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ChuckMcSneed/Gembo-v1-70b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Gembo-v1-70b-GG... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["merge", "mergekit", "nsfw", "not-for-all-audiences"], "base_model": "ChuckMcSneed/Gembo-v1-70b", "quantized_by": "mradermacher"} | mradermacher/Gembo-v1-70b-i1-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"nsfw",
"not-for-all-audiences",
"en",
"base_model:ChuckMcSneed/Gembo-v1-70b",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T03:25:54+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #nsfw #not-for-all-audiences #en #base_model-ChuckMcSneed/Gembo-v1-70b #license-llama2 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #nsfw #not-for-all-audiences #en #base_model-ChuckMcSneed/Gembo-v1-70b #license-llama2 #endpoints_compatible #region-us \n"
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] |
null | null |
Testing MLC AI Offline Model with custom config
| {"license": "apache-2.0"} | Navatech/offline_test | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T03:27:15+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
Testing MLC AI Offline Model with custom config
| [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
13
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Rudolph314/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-09T03:32:08+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
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"## Usage (with Stable-baselines3)\nTODO: Add you... | [
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17
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
text-generation | transformers | This model is a version of mistralai/Mistral-7B-v0.1 that has been fine-tuned with Our In House CustomData.
Train Spec :
We utilized an A100x4 * 1 for training our model
with DeepSpeed / HuggingFace TRL Trainer / HuggingFace Accelerate | {"language": ["ko"], "license": "cc-by-nc-4.0", "datasets": ["Custom_datasets"], "pipeline_tag": "text-generation", "base_model": "mistralai/Mistral-7B-v0.1"} | Alphacode-AI/AlphaMist7B-slr-v3 | null | [
"transformers",
"safetensors",
"text-generation",
"ko",
"dataset:Custom_datasets",
"base_model:mistralai/Mistral-7B-v0.1",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T03:32:37+00:00 | [] | [
"ko"
] | TAGS
#transformers #safetensors #text-generation #ko #dataset-Custom_datasets #base_model-mistralai/Mistral-7B-v0.1 #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| This model is a version of mistralai/Mistral-7B-v0.1 that has been fine-tuned with Our In House CustomData.
Train Spec :
We utilized an A100x4 * 1 for training our model
with DeepSpeed / HuggingFace TRL Trainer / HuggingFace Accelerate | [] | [
"TAGS\n#transformers #safetensors #text-generation #ko #dataset-Custom_datasets #base_model-mistralai/Mistral-7B-v0.1 #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
62
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] |
question-answering | 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. -->
# mobilebert-uncased
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluatio... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "mobilebert-uncased", "results": []}]} | kallidavidson/mobilebert-uncased | null | [
"transformers",
"tensorboard",
"safetensors",
"mobilebert",
"question-answering",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T03:32:59+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mobilebert #question-answering #generated_from_trainer #endpoints_compatible #region-us
| mobilebert-uncased
==================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 7.5299
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
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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. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | chihan0425/distilgpt2-finetuned-wikitext2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T03:34:52+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.0107
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training... | [
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null | null |
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q6_K-GGUF
This model was converted to GGUF format from [`TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k`](https://huggingface.co/TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/SlimOrca", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "da... | DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Open-Orca/SlimOrca",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-09T03:37:36+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/SlimOrca #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us
|
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q6_K-GGUF
This model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k' 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... | [
"# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q6_K-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k' 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... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/SlimOrca #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q6_K-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_e... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/SlimOrca #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us \n# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q6_K-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_5... |
null | null |
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q5_K_M-GGUF
This model was converted to GGUF format from [`TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k`](https://huggingface.co/TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingfa... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/SlimOrca", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "da... | DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q5_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Open-Orca/SlimOrca",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-09T03:40:49+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/SlimOrca #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us
|
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q5_K_M-GGUF
This model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k' 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 br... | [
"# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k' 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 U... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/SlimOrca #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us \n",
"# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1... | [
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null | null | This repository contains the checkpoints of [roberta-base](https://huggingface.co/FacebookAI/roberta-base) finetuned on eight GLUE datasets. The checkpoints can be downloaded for reproducing the experiments in [DARE](https://arxiv.org/abs/2311.03099).
| {"license": "mit"} | vanillaOVO/roberta_base_glue_ckpts | null | [
"arxiv:2311.03099",
"license:mit",
"region:us"
] | null | 2024-04-09T03:44:34+00:00 | [
"2311.03099"
] | [] | TAGS
#arxiv-2311.03099 #license-mit #region-us
| This repository contains the checkpoints of roberta-base finetuned on eight GLUE datasets. The checkpoints can be downloaded for reproducing the experiments in DARE.
| [] | [
"TAGS\n#arxiv-2311.03099 #license-mit #region-us \n"
] | [
21
] | [
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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": []} | cilantro9246/dukgf3l | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T03:44:53+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",
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text-generation | transformers | # SchizoGPT 8x7B
Fine tuned on r/ChatGPT Discord #general dump. \
Merged into bfloat16 using [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) as base and [v2ray/SchizoGPT-8x7B-QLoRA](https://huggingface.co/v2ray/SchizoGPT-8x7B-QLoRA) as QLoRA.
## Prompt Template
```
Date: 2024/4<usernam... | {"language": ["en"], "license": "mit", "tags": ["not-for-all-audiences"], "datasets": ["v2ray/r-chatgpt-general-dump"], "pipeline_tag": "text-generation"} | v2ray/SchizoGPT-8x7B | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"not-for-all-audiences",
"en",
"dataset:v2ray/r-chatgpt-general-dump",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T03:45:25+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #not-for-all-audiences #en #dataset-v2ray/r-chatgpt-general-dump #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # SchizoGPT 8x7B
Fine tuned on r/ChatGPT Discord #general dump. \
Merged into bfloat16 using mistralai/Mixtral-8x7B-v0.1 as base and v2ray/SchizoGPT-8x7B-QLoRA as QLoRA.
## Prompt Template
Date prefix is optional:
Use '@username' to ping a user and '#channel name' to mention a channel. \
Prepend '<Re: username>' befo... | [
"# SchizoGPT 8x7B\nFine tuned on r/ChatGPT Discord #general dump. \\\nMerged into bfloat16 using mistralai/Mixtral-8x7B-v0.1 as base and v2ray/SchizoGPT-8x7B-QLoRA as QLoRA.",
"## Prompt Template\n\nDate prefix is optional:\n\nUse '@username' to ping a user and '#channel name' to mention a channel. \\\nPrepend '<... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #not-for-all-audiences #en #dataset-v2ray/r-chatgpt-general-dump #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# SchizoGPT 8x7B\nFine tuned on r/ChatGPT Discord #general dump. \\\nMerged into bfloat1... | [
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"TAGS\n#transformers #safetensors #mixtral #text-generation #not-for-all-audiences #en #dataset-v2ray/r-chatgpt-general-dump #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# SchizoGPT 8x7B\nFine tuned on r/ChatGPT Discord #general dump. \\\nMerged into bfloat16 usin... |
null | null |
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q5_K_S-GGUF
This model was converted to GGUF format from [`TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k`](https://huggingface.co/TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingfa... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/SlimOrca", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "da... | DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q5_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Open-Orca/SlimOrca",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-09T03:46:51+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/SlimOrca #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us
|
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q5_K_S-GGUF
This model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k' 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 br... | [
"# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k' 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 U... | [
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"# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q5_K_S-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# MoE-leaf-disease-convnextv2-base-1k-224
This model is a fine-tuned version of [](https://huggingface.co/) on the imagefolder dat... | {"tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "model-index": [{"name": "MoE-leaf-disease-convnextv2-base-1k-224", "results": []}]} | louislu9911/MoE-leaf-disease-convnextv2-base-1k-224 | null | [
"transformers",
"safetensors",
"moe",
"image-classification",
"generated_from_trainer",
"custom_code",
"dataset:imagefolder",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T03:49:09+00:00 | [] | [] | TAGS
#transformers #safetensors #moe #image-classification #generated_from_trainer #custom_code #dataset-imagefolder #autotrain_compatible #region-us
| MoE-leaf-disease-convnextv2-base-1k-224
=======================================
This model is a fine-tuned version of [](URL on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3758
* Accuracy: 0.8762
Model description
-----------------
More information needed
Intend... | [
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text-generation | transformers | # Phi-Bode
<!--- PROJECT LOGO -->
<p align="center">
<img src="https://huggingface.co/recogna-nlp/Phi-Bode/resolve/main/phi-bode.jpg" alt="Phi-Bode Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
Phi-Bode é um modelo de linguagem ajustado para o idioma português, desenvolvid... | {"license": "mit", "model-index": [{"name": "phi-bode-2-ultraalpaca", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "ENEM Challenge (No Images)", "type": "eduagarcia/enem_challenge", "split": "train", "args": {"num_few_shot": 3}}, "metrics": [{"type": "acc", "value": 3... | recogna-nlp/phi-bode-2-ultraalpaca | null | [
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| Phi-Bode
========
Phi-Bode é um modelo de linguagem ajustado para o idioma português, desenvolvido a partir do modelo base Phi-2B fornecido pela Microsoft. Este modelo foi refinado através do processo de fine-tuning utilizando o dataset UltraAlpaca. O principal objetivo deste modelo é ser viável par... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** danielhanchen
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma 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", "gemma", "gguf"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | danielhanchen/gemma_gguf | null | [
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|
# Uploaded model
- Developed by: danielhanchen
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# gembode-2b-ultraalpaca
<!--- PROJECT LOGO -->
<p align="center">
<img src="https://huggingface.co/recogna-nlp/GemBode-2b-it/resolve/main/gembode.jpg" alt="Phi-Bode Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>
GemmBode é um modelo de linguagem ajustado para o idioma por... | {"license": "mit", "model-index": [{"name": "gembode-2b-ultraalpaca", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "ENEM Challenge (No Images)", "type": "eduagarcia/enem_challenge", "split": "train", "args": {"num_few_shot": 3}}, "metrics": [{"type": "acc", "value": 3... | recogna-nlp/gembode-2b-ultraalpaca | null | [
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| gembode-2b-ultraalpaca
======================
GemmBode é um modelo de linguagem ajustado para o idioma português, desenvolvido a partir do modelo base de instruções Gemma-2b-it fornecido pela Google. Este modelo foi refinado através do processo de fine-tuning utilizando o dataset UltraAlpaca. O prin... | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# imdb_distilbert_base_uncased
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "imdb_distilbert_base_uncased", "results": []}]} | Siki-77/imdb_distilbert_base_uncased | null | [
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| imdb\_distilbert\_base\_uncased
===============================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1951
* Accuracy: 0.9310
Model description
-----------------
More information needed
... | [
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automatic-speech-recognition | 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": []} | ArierMiao/large-32-2 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | Lugaborg/Calbrena | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# phi-2-gpo-renew2-i0
This model is a fine-tuned version of [lole25/phi-2-sft-lora-ultrachat](https://huggingface.co/lole25/phi-2-... | {"license": "mit", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-gpo-renew2-i0", "results": []}]} | DUAL-GPO-2/phi-2-gpo-renew2-i0 | null | [
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| phi-2-gpo-renew2-i0
===================
This model is a fine-tuned version of lole25/phi-2-sft-lora-ultrachat on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0391
* Rewards/chosen: -0.0132
* Rewards/rejected: -0.0427
* Rewards/accuracies: 0.6... | [
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null | null |
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q4_K_M-GGUF
This model was converted to GGUF format from [`TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k`](https://huggingface.co/TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingfa... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/SlimOrca", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "da... | DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q4_K_M-GGUF | null | [
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|
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q4_K_M-GGUF
This model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speecht5_female
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_female", "results": []}]} | guilhermebastos96/speecht5_female | null | [
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| speecht5\_female
================
This model is a fine-tuned version of microsoft/speecht5\_tts on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3825
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | HemantM/learnings | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-09T03:59:46+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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"## Usage (with Stable-baselines3)\nTODO: Add you... | [
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
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": []} | Lugaborg/Balnab | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T04:00:07+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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": []} | Lugaborg/Ashura | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"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... | [
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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": []} | Lugaborg/Juclyote | null | [
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"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",
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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": []} | Lugaborg/Carapace | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T04:01:06+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... | [
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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": []} | Lugaborg/GlomWing | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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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": []} | Lugaborg/Malboro | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T04:01:58+00:00 | [
"1910.09700"
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#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)... | [
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null | null |
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q4_K_S-GGUF
This model was converted to GGUF format from [`TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k`](https://huggingface.co/TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingfa... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Open-Orca/SlimOrca", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "da... | DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q4_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:Open-Orca/SlimOrca",
"dataset:allenai/ultrafeedback_binarized_cleaned",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-09T04:04:50+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/SlimOrca #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us
|
# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q4_K_S-GGUF
This model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k' 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 br... | [
"# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k' 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 U... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #dataset-Open-Orca/SlimOrca #dataset-allenai/ultrafeedback_binarized_cleaned #license-apache-2.0 #model-index #region-us \n# DavidAU/GALAXY_v03_slimorca_1_epoch_50k_DPO_1_epoch_30k-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'TeeZee/GALAXY_v03_slimorca_1_epoch... |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **CartPole-v1**
This is a trained model of a **DQN** agent playing **CartPole-v1**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 import... | {"library_name": "stable-baselines3", "tags": ["CartPole-v1", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"... | SubhasishSaha/dqn-cart-pole-sb3 | null | [
"stable-baselines3",
"CartPole-v1",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-09T04:05:54+00:00 | [] | [] | TAGS
#stable-baselines3 #CartPole-v1 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing CartPole-v1
This is a trained model of a DQN agent playing CartPole-v1
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# DQN Agent playing CartPole-v1\nThis is a trained model of a DQN agent playing CartPole-v1\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #CartPole-v1 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing CartPole-v1\nThis is a trained model of a DQN agent playing CartPole-v1\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
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"TAGS\n#stable-baselines3 #CartPole-v1 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing CartPole-v1\nThis is a trained model of a DQN agent playing CartPole-v1\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
text-generation | transformers |
# Marcoro14-7B-slerp
Marcoro14-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mi... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | Eang/Marcoro14-7B-slerp | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"OpenPipe/mistral-ft-optimized-1218",
"mlabonne/NeuralHermes-2.5-Mistral-7B",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T04:06:30+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #OpenPipe/mistral-ft-optimized-1218 #mlabonne/NeuralHermes-2.5-Mistral-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Marcoro14-7B-slerp
Marcoro14-7B-slerp is a merge of the following models using mergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
| [
"# Marcoro14-7B-slerp\n\nMarcoro14-7B-slerp is a merge of the following models using mergekit:\n* OpenPipe/mistral-ft-optimized-1218\n* mlabonne/NeuralHermes-2.5-Mistral-7B",
"## Configuration"
] | [
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
adapted tokeniser on iwslt2017-en-zh (english only) dataset with vocab size set to 32000 from openai-community/gpt2
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed... | {"license": "mit"} | jeanong2/gpt2_iwslt2017_en_zh_tokenizer_32k | null | [
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|
# Model Card for Model ID
adapted tokeniser on iwslt2017-en-zh (english only) dataset with vocab size set to 32000 from openai-community/gpt2
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned ... | [
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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. -->
# keti-t5-finetuned-summary-v2
This model is a fine-tuned version of [hsshssh/keti-t5-finetuned-summary-v2](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "hsshssh/keti-t5-finetuned-summary-v2", "model-index": [{"name": "keti-t5-finetuned-summary-v2", "results": []}]} | hsshssh/keti-t5-finetuned-summary-v2 | null | [
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|
# keti-t5-finetuned-summary-v2
This model is a fine-tuned version of hsshssh/keti-t5-finetuned-summary-v2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
"# keti-t5-finetuned-summary-v2\n\nThis model is a fine-tuned version of hsshssh/keti-t5-finetuned-summary-v2 on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-finetuned
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-finetuned", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "datase... | vedamaganti/wav2vec2-finetuned | null | [
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| wav2vec2-finetuned
==================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9408
* Wer: 0.5217
Model description
-----------------
More information needed
Intended uses & limita... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
# Model Card for habib-DPO-v2
<!-- Provide a quick summary of what the model is/does. -->
This model is derivative version of [Kunoichi-DPO-v2-7B](https://huggingface.co/SanjiWatsuki/Kunoichi-DPO-v2-7B) on internal datasets.
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is th... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "trl", "sft"], "base_model": "SanjiWatsuki/Kunoichi-DPO-v2-7B", "pipeline_tag": "text-generation", "model-index": [{"name": "habib-DPO-v2", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "data... | ChavyvAkvar/habib-DPO-v2 | null | [
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|
# Model Card for habib-DPO-v2
This model is derivative version of Kunoichi-DPO-v2-7B on internal datasets.
### 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: Habibullah Akbar
- Funded by [optio... | [
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automatic-speech-recognition | 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": []} | spsither/wav2vec2_run10.840 | null | [
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|
# 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... | [
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text-generation | transformers |
# QI-mistral-7B-slerp
This model is based on the mistral model and merged several DPO fine-tuned models with SLERP.
It processes Korean language relatively well, so it is useful when creating various applications.
QI-mistral-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergek... | {"license": "apache-2.0", "tags": ["merge", "Korean", "Mistral-7B", "LLM"]} | QuantumIntelligence/QI-mistral-7B-slerp | null | [
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|
# QI-mistral-7B-slerp
This model is based on the mistral model and merged several DPO fine-tuned models with SLERP.
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QI-mistral-7B-slerp is a merge of the following models using mergekit:
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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": []} | RENREN6/llama-2-7b-chat-hf-dpo-finetuned | null | [
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## 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.
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- Funded by [optional]:
- Shared by [optional]:
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null | null |
# DavidAU/Tiny-Llama-Llama-Dolphin-laser-1b-moe-Q8_0-GGUF
This model was converted to GGUF format from [`jtatman/Tiny-Llama-Llama-Dolphin-laser-1b-moe`](https://huggingface.co/jtatman/Tiny-Llama-Llama-Dolphin-laser-1b-moe) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "TinyLlama/TinyLlama-1.1B-intermediate-step-715k-1.5T", "cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser", "cognitivecomputations/TinyDolphin-2.8.1-1.1b", "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "llama-cpp", "gguf-my-repo"], "... | DavidAU/Tiny-Llama-Llama-Dolphin-laser-1b-moe-Q8_0-GGUF | null | [
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"... | null | 2024-04-09T04:13:43+00:00 | [] | [] | TAGS
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# DavidAU/Tiny-Llama-Llama-Dolphin-laser-1b-moe-Q8_0-GGUF
This model was converted to GGUF format from 'jtatman/Tiny-Llama-Llama-Dolphin-laser-1b-moe' 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 ... | [
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null | null |
# DavidAU/Tiny-Llama-Llama-Dolphin-laser-1b-moe-Q6_K-GGUF
This model was converted to GGUF format from [`jtatman/Tiny-Llama-Llama-Dolphin-laser-1b-moe`](https://huggingface.co/jtatman/Tiny-Llama-Llama-Dolphin-laser-1b-moe) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "TinyLlama/TinyLlama-1.1B-intermediate-step-715k-1.5T", "cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser", "cognitivecomputations/TinyDolphin-2.8.1-1.1b", "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "llama-cpp", "gguf-my-repo"], "... | DavidAU/Tiny-Llama-Llama-Dolphin-laser-1b-moe-Q6_K-GGUF | null | [
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"llama-cpp",
"gguf-my-repo",
"... | null | 2024-04-09T04:14:50+00:00 | [] | [] | TAGS
#gguf #moe #frankenmoe #merge #mergekit #lazymergekit #TinyLlama/TinyLlama-1.1B-intermediate-step-715k-1.5T #cognitivecomputations/TinyDolphin-2.8.2-1.1b-laser #cognitivecomputations/TinyDolphin-2.8.1-1.1b #TinyLlama/TinyLlama-1.1B-Chat-v1.0 #llama-cpp #gguf-my-repo #base_model-TinyLlama/TinyLlama-1.1B-intermediat... |
# DavidAU/Tiny-Llama-Llama-Dolphin-laser-1b-moe-Q6_K-GGUF
This model was converted to GGUF format from 'jtatman/Tiny-Llama-Llama-Dolphin-laser-1b-moe' 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 ... | [
"# DavidAU/Tiny-Llama-Llama-Dolphin-laser-1b-moe-Q6_K-GGUF\nThis model was converted to GGUF format from 'jtatman/Tiny-Llama-Llama-Dolphin-laser-1b-moe' 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\... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-stock-tweet-sentiment-analysis
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-stock-tweet-sentiment-analysis", "results": []}]} | chaitu2/distilbert-stock-tweet-sentiment-analysis | null | [
"transformers",
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"autotrain_compatible",
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"region:us"
] | null | 2024-04-09T04:16:46+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-stock-tweet-sentiment-analysis
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6127
* Accuracy: 0.7762
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\... | [
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null | null |
# DavidAU/TinyLlama-1.1B-Chat-v0.6-x8-MoE-Q8_0-GGUF
This model was converted to GGUF format from [`dillfrescott/TinyLlama-1.1B-Chat-v0.6-x8-MoE`](https://huggingface.co/dillfrescott/TinyLlama-1.1B-Chat-v0.6-x8-MoE) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) sp... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/TinyLlama-1.1B-Chat-v0.6-x8-MoE-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T04:16:52+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/TinyLlama-1.1B-Chat-v0.6-x8-MoE-Q8_0-GGUF
This model was converted to GGUF format from 'dillfrescott/TinyLlama-1.1B-Chat-v0.6-x8-MoE' 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 ... | [
"# DavidAU/TinyLlama-1.1B-Chat-v0.6-x8-MoE-Q8_0-GGUF\nThis model was converted to GGUF format from 'dillfrescott/TinyLlama-1.1B-Chat-v0.6-x8-MoE' 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... | [
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"# DavidAU/TinyLlama-1.1B-Chat-v0.6-x8-MoE-Q8_0-GGUF\nThis model was converted to GGUF format from 'dillfrescott/TinyLlama-1.1B-Chat-v0.6-x8-MoE' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper_Large_Mongolian
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large... | {"language": ["mn"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-large", "model-index": [{"name": "Whisper_Large_Mongolian", "results": []}]} | Cafet/whisper-mongolian-version-0.1 | null | [
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"automatic-speech-recognition",
"generated_from_trainer",
"mn",
"base_model:openai/whisper-large",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-09T04:17:06+00:00 | [] | [
"mn"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #mn #base_model-openai/whisper-large #license-apache-2.0 #endpoints_compatible #has_space #region-us
|
# Whisper_Large_Mongolian
This model is a fine-tuned version of openai/whisper-large.
It achieves the following results on the evaluation set:
- eval_loss: 0.3309
- eval_wer: 29.1925
- eval_runtime: 1202.8614
- eval_samples_per_second: 1.539
- eval_steps_per_second: 0.193
- epoch: 5.64
- step: 3000
## Training pr... | [
"# Whisper_Large_Mongolian\n\nThis model is a fine-tuned version of openai/whisper-large.\nIt achieves the following results on the evaluation set:\n- eval_loss: 0.3309\n- eval_wer: 29.1925\n- eval_runtime: 1202.8614\n- eval_samples_per_second: 1.539\n- eval_steps_per_second: 0.193\n- epoch: 5.64\n- step: 3000",
... | [
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"# Whisper_Large_Mongolian\n\nThis model is a fine-tuned version of openai/whisper-large.\nIt achi... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
adapted tokeniser on iwslt2017-en-zh dataset with vocab size set to 32000 google-bert/bert-base-chinese
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a... | {"library_name": "transformers", "tags": []} | jeanong2/bert_iwslt2017_en_zh_tokenizer_32k | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T04:18:04+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
adapted tokeniser on iwslt2017-en-zh dataset with vocab size set to 32000 google-bert/bert-base-chinese
## 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.
- Develope... | [
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question-answering | 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. -->
# TinyBERT_General_4L_312D
This model was trained from scratch on an unknown dataset.
It achieves the following results on the eva... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "TinyBERT_General_4L_312D", "results": []}]} | kallidavidson/TinyBERT_General_4L_312D | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"question-answering",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T04:21:12+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #question-answering #generated_from_trainer #endpoints_compatible #region-us
| TinyBERT\_General\_4L\_312D
===========================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.2060
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ParasiticRogue/Nontoxic-PiVoT-Bagel-RP-34b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermache... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "ParasiticRogue/Nontoxic-PiVoT-Bagel-RP-34b", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "license_name": "yi-34b", "quantized_by": "mradermacher"} | mradermacher/Nontoxic-PiVoT-Bagel-RP-34b-i1-GGUF | null | [
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"base_model:ParasiticRogue/Nontoxic-PiVoT-Bagel-RP-34b",
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] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-ParasiticRogue/Nontoxic-PiVoT-Bagel-RP-34b #license-other #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
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": []} | twodigit/google-gemma-7b-it-question-487k-sft-lora-lr1e-5-e1-b8-checkpoint-20000 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T04:22:27+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gemma #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... | [
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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": []} | pranaysaggar/story_generator_llama2 | null | [
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"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ND911/Eclectic-Maid-7B-v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge", "not-for-all-audiences"], "base_model": "ND911/Eclectic-Maid-7B-v2", "quantized_by": "mradermacher"} | mradermacher/Eclectic-Maid-7B-v2-GGUF | null | [
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#transformers #gguf #mergekit #merge #not-for-all-audiences #en #base_model-ND911/Eclectic-Maid-7B-v2 #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... | [] | [
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] |
null | null |
# DavidAU/TinyLlama-1.1B-Chat-v0.6-x8-MoE-Q6_K-GGUF
This model was converted to GGUF format from [`dillfrescott/TinyLlama-1.1B-Chat-v0.6-x8-MoE`](https://huggingface.co/dillfrescott/TinyLlama-1.1B-Chat-v0.6-x8-MoE) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) sp... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/TinyLlama-1.1B-Chat-v0.6-x8-MoE-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T04:25:44+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/TinyLlama-1.1B-Chat-v0.6-x8-MoE-Q6_K-GGUF
This model was converted to GGUF format from 'dillfrescott/TinyLlama-1.1B-Chat-v0.6-x8-MoE' 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 ... | [
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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": []} | twodigit/google-gemma-7b-it-question-487k-sft-full-lr1e-5-e1-b8-checkpoint-6000 | null | [
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# 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.
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- Funded by [optional]:
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null | null |
# DavidAU/TinyUltra-4x1.1B-Base-Alpha-Q8_0-GGUF
This model was converted to GGUF format from [`indischepartij/TinyUltra-4x1.1B-Base-Alpha`](https://huggingface.co/indischepartij/TinyUltra-4x1.1B-Base-Alpha) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Ref... | {"license": "cc-by-nc-4.0", "tags": ["moe", "merge", "mergekit", "llama-cpp", "gguf-my-repo"], "widget": [{"example_title": "Pirate!", "messages": [{"role": "system", "content": "You are a pirate chatbot who always responds with Arr!"}, {"role": "user", "content": "There's a llama on my lawn, how can I get rid of him?"... | DavidAU/TinyUltra-4x1.1B-Base-Alpha-Q8_0-GGUF | null | [
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#gguf #moe #merge #mergekit #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #model-index #region-us
|
# DavidAU/TinyUltra-4x1.1B-Base-Alpha-Q8_0-GGUF
This model was converted to GGUF format from 'indischepartij/TinyUltra-4x1.1B-Base-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... | [
"# DavidAU/TinyUltra-4x1.1B-Base-Alpha-Q8_0-GGUF\nThis model was converted to GGUF format from 'indischepartij/TinyUltra-4x1.1B-Base-Alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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": []} | twodigit/mistralai-Mistral-7B-Instruct-v0.2-question2-513k-sft-lora-lr1e-5-e1-b8 | null | [
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|
# 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",
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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. -->
# 0.001_idpo_decalpha_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/Hugg... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_idpo_decalpha_iter_1", "results": []}]} | ZhangShenao/0.001_idpo_decalpha_iter_1 | null | [
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|
# 0.001_idpo_decalpha_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed... | [
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null | null |
# DavidAU/TinyUltra-4x1.1B-Base-Alpha-Q6_K-GGUF
This model was converted to GGUF format from [`indischepartij/TinyUltra-4x1.1B-Base-Alpha`](https://huggingface.co/indischepartij/TinyUltra-4x1.1B-Base-Alpha) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Ref... | {"license": "cc-by-nc-4.0", "tags": ["moe", "merge", "mergekit", "llama-cpp", "gguf-my-repo"], "widget": [{"example_title": "Pirate!", "messages": [{"role": "system", "content": "You are a pirate chatbot who always responds with Arr!"}, {"role": "user", "content": "There's a llama on my lawn, how can I get rid of him?"... | DavidAU/TinyUltra-4x1.1B-Base-Alpha-Q6_K-GGUF | null | [
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|
# DavidAU/TinyUltra-4x1.1B-Base-Alpha-Q6_K-GGUF
This model was converted to GGUF format from 'indischepartij/TinyUltra-4x1.1B-Base-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... | [
"# DavidAU/TinyUltra-4x1.1B-Base-Alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'indischepartij/TinyUltra-4x1.1B-Base-Alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | transformers |
# Uploaded model
- **Developed by:** quangcodecode
- **License:** apache-2.0
- **Finetuned from model :** Viet-Mistral/Vistral-7B-Chat
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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "Viet-Mistral/Vistral-7B-Chat"} | quangcodecode/lora_adapter_v0.4 | null | [
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|
# Uploaded model
- Developed by: quangcodecode
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Uploaded model
- **Developed by:** quangcodecode
- **License:** apache-2.0
- **Finetuned from model :** Viet-Mistral/Vistral-7B-Chat
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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "Viet-Mistral/Vistral-7B-Chat"} | quangcodecode/Vistral-7B-ft-LoRA-v4 | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# w2v-bert-2.0-malayalam-CV16.0
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["common_voice_16_0"], "metrics": ["wer"], "base_model": "facebook/w2v-bert-2.0", "model-index": [{"name": "w2v-bert-2.0-malayalam-CV16.0", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset":... | Bajiyo/w2v-bert-2.0-malayalam-CV16.0 | null | [
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| w2v-bert-2.0-malayalam-CV16.0
=============================
This model is a fine-tuned version of facebook/w2v-bert-2.0 on the common\_voice\_16\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4511
* Wer: 0.5442
Model description
-----------------
More information needed
Intende... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | transformers |
# Uploaded model
- **Developed by:** KenWu
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "gguf"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | KenWu/gemma_gguf | null | [
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|
# Uploaded model
- Developed by: KenWu
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | DoggoOP/Atari | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-09T04:34:29+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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null | null | # Gemma SCAPPY QA adapter
### Introduction
This is fine-tuned [QLora](https://github.com/artidoro/qlora) adapter of [Gemma 7B base model](https://huggingface.co/google/gemma-7b) using [Vezora/Tested-22k-Python-Alpaca](https://huggingface.co/datasets/Vezora/Tested-22k-Python-Alpaca).
This is trained for Python code a... | {"license": "gemma"} | gcw-ai/gemma-scappy-qa-adapter | null | [
"safetensors",
"license:gemma",
"region:us"
] | null | 2024-04-09T04:35:13+00:00 | [] | [] | TAGS
#safetensors #license-gemma #region-us
| # Gemma SCAPPY QA adapter
### Introduction
This is fine-tuned QLora adapter of Gemma 7B base model using Vezora/Tested-22k-Python-Alpaca.
This is trained for Python code agent SCAPPY (Self Critic Agent for Programming in Python) which is submitted for Kaggle Challenge Google-AI Assistants for Data Tasks with Gemma
... | [
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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. -->
# falcon-code-generation
This model is a fine-tuned version of [petals-team/falcon-rw-1b](https://huggingface.co/petals-team/falco... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["code_search_net"], "base_model": "petals-team/falcon-rw-1b", "model-index": [{"name": "falcon-code-generation", "results": []}]} | Katochh/falcon-code-generation | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
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"generated_from_trainer",
"dataset:code_search_net",
"base_model:petals-team/falcon-rw-1b",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T04:37:28+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-code_search_net #base_model-petals-team/falcon-rw-1b #license-apache-2.0 #region-us
| falcon-code-generation
======================
This model is a fine-tuned version of petals-team/falcon-rw-1b on the code\_search\_net dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0068
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: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "Qwen/Qwen1.5-7B", "model-index": [{"name": "home/yujia/home/CN_Hateful/trained_models/qwen/CN/toxi/3e-4/", "results": []}]} | yujia23/axolotl-qwen-cn-3e-4-lora | null | [
"peft",
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"license:other",
"8-bit",
"region:us"
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#peft #tensorboard #safetensors #qwen2 #generated_from_trainer #base_model-Qwen/Qwen1.5-7B #license-other #8-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
home/yujia/home/CN\_Hateful/trained\_models/qwen/CN/toxi/3e-4/
==============================================================
This model is a fine-tuned version of Qwen/Qwen1.5-7B on the None dataset.
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n*... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="khuan0803/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | khuan0803/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-09T04:41:02+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
| [
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] |
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": []} | twodigit/mistralai-Mistral-7B-Instruct-v0.2-question2-513k-sft-lora-lr1e-5-e1-b8-checkpoint-40000 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T04:41:14+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... | [
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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": []} | twodigit/mistralai-Mistral-7B-Instruct-v0.2-question2-513k-sft-lora-lr1e-5-e1-b8-checkpoint-20000 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#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... | [
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null | null |
# DavidAU/cosmoem-8x1B-Q8_0-GGUF
This model was converted to GGUF format from [`Lambent/cosmoem-8x1B`](https://huggingface.co/Lambent/cosmoem-8x1B) 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/Lamb... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["HuggingFaceTB/cosmopedia"]} | DavidAU/cosmoem-8x1B-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:HuggingFaceTB/cosmopedia",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T04:41:34+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-HuggingFaceTB/cosmopedia #license-apache-2.0 #region-us
|
# DavidAU/cosmoem-8x1B-Q8_0-GGUF
This model was converted to GGUF format from 'Lambent/cosmoem-8x1B' 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 c... | [
"# DavidAU/cosmoem-8x1B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Lambent/cosmoem-8x1B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
## My first ever successful merge: QueenLiz 120B
this is a linear merge of Quartet70B (https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001) and Lzlv 70B (https://huggingface.co/lizpreciati... | {} | blockblockblock/QueenLiz-120B-bpw3.7 | null | [
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"text-generation",
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"text-generation-inference",
"region:us"
] | null | 2024-04-09T04:45:07+00:00 | [
"2203.05482"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-2203.05482 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## My first ever successful merge: QueenLiz 120B
!image/png
this is a linear merge of Quartet70B (URL and Lzlv 70B (URL
Sharing it here so hopefully someone else with proper machine can try this out.
NOTE: Context Window should be 32K
My Q4KM GGUF here :URL
Thanks to the Mad Skills by @mradermacher - a whole s... | [
"## My first ever successful merge: QueenLiz 120B\n\n\n!image/png\n\nthis is a linear merge of Quartet70B (URL and Lzlv 70B (URL\n\nSharing it here so hopefully someone else with proper machine can try this out.\n\n\nNOTE: Context Window should be 32K\n\nMy Q4KM GGUF here :URL\n\nThanks to the Mad Skills by @mrader... | [
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"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-2203.05482 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n## My first ever successful merge: QueenLiz 120B\n\n\n!image/png\n\nthis is a linear merge of Quartet70B (URL and Lzlv 70B (URL\n\nSharing it here so hopefu... |
null | null |
# DavidAU/cosmoem-8x1B-Q6_K-GGUF
This model was converted to GGUF format from [`Lambent/cosmoem-8x1B`](https://huggingface.co/Lambent/cosmoem-8x1B) 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/Lamb... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["HuggingFaceTB/cosmopedia"]} | DavidAU/cosmoem-8x1B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:HuggingFaceTB/cosmopedia",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T04:45:35+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-HuggingFaceTB/cosmopedia #license-apache-2.0 #region-us
|
# DavidAU/cosmoem-8x1B-Q6_K-GGUF
This model was converted to GGUF format from 'Lambent/cosmoem-8x1B' 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 c... | [
"# DavidAU/cosmoem-8x1B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Lambent/cosmoem-8x1B' 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\n... | [
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feature-extraction | 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. -->
# persian-clip
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following ... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "persian-clip", "results": []}]} | SeyedAli/Persian-CLIP | null | [
"transformers",
"safetensors",
"clip_vision_model",
"feature-extraction",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T04:47:41+00:00 | [] | [] | TAGS
#transformers #safetensors #clip_vision_model #feature-extraction #generated_from_trainer #endpoints_compatible #region-us
| persian-clip
============
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7629
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\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... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n*... | [
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object-detection | 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": []} | Spatiallysaying/detr-finetuned-balloon-v2 | null | [
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"safetensors",
"detr",
"object-detection",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T04:48:21+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #detr #object-detection #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... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/domie/Viviana_V3_dare_ties
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "domie/Viviana_V2"], "base_model": "domie/Viviana_V3_dare_ties", "quantized_by": "mradermacher"} | mradermacher/Viviana_V3_dare_ties-GGUF | null | [
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"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #domie/Viviana_V2 #en #base_model-domie/Viviana_V3_dare_ties #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #domie/Viviana_V2 #en #base_model-domie/Viviana_V3_dare_ties #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
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] |
null | null |
# DavidAU/tinyllamaherd-8x1b-Q8_0-GGUF
This model was converted to GGUF format from [`SanjiWatsuki/tinyllamaherd-8x1b`](https://huggingface.co/SanjiWatsuki/tinyllamaherd-8x1b) 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]... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/tinyllamaherd-8x1b-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T04:49:36+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/tinyllamaherd-8x1b-Q8_0-GGUF
This model was converted to GGUF format from 'SanjiWatsuki/tinyllamaherd-8x1b' 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:
Serve... | [
"# DavidAU/tinyllamaherd-8x1b-Q8_0-GGUF\nThis model was converted to GGUF format from 'SanjiWatsuki/tinyllamaherd-8x1b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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"## Use... | [
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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": []} | twodigit/mistralai-Mistral-7B-Instruct-v0.2-question-487k-sft-full-lr1e-5-e1-b8-checkpoint-4000 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T04:49:55+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... | [
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"## Model Details",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
adapted tokeniser on iwslt2017-en-zh (english only) dataset with vocab size set to 32000 from google-bert/bert-base-uncased
- **Developed by:** [More Information Needed]
- **Funded by [o... | {"library_name": "transformers", "tags": []} | jeanong2/bert_uncased_iwslt2017_en_zh_tokenizer_32k | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T04:49:56+00:00 | [
"1910.09700"
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
adapted tokeniser on iwslt2017-en-zh (english only) dataset with vocab size set to 32000 from google-bert/bert-base-uncased
- Developed by:
- Funded by [optional]:
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- Language(s) (NLP):
- License:
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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. -->
# V0408MP1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0408MP1", "results": []}]} | Litzy619/V0408MP1 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-09T04:51:53+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0408MP1
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3167
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | null |
# DavidAU/tinyllamaherd-8x1b-Q6_K-GGUF
This model was converted to GGUF format from [`SanjiWatsuki/tinyllamaherd-8x1b`](https://huggingface.co/SanjiWatsuki/tinyllamaherd-8x1b) 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]... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/tinyllamaherd-8x1b-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T04:51:59+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/tinyllamaherd-8x1b-Q6_K-GGUF
This model was converted to GGUF format from 'SanjiWatsuki/tinyllamaherd-8x1b' 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:
Serve... | [
"# DavidAU/tinyllamaherd-8x1b-Q6_K-GGUF\nThis model was converted to GGUF format from 'SanjiWatsuki/tinyllamaherd-8x1b' 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... | [
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"## Use... | [
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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. -->
# V0408MP2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0408MP2", "results": []}]} | Litzy619/V0408MP2 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-09T04:53:00+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0408MP2
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2973
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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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. -->
# V0408MP3
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0408MP3", "results": []}]} | Litzy619/V0408MP3 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-09T04:53:02+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0408MP3
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3167
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-generation | null |
# OpenHermes-2.5-Mistral-7B-GGUF
- GGUF quantized versions for [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
- Created using llama.cpp
## Model description
OpenHermes 2.5 Mistral 7B is a state of the art Mistral Fine-tune, a continuation of OpenHermes 2 model, which trained on... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation", "conversational", "text-generation-inference"], "pipeline_tag": "text-generation", "base_model": "teknium/OpenHermes-2.5-Mistral-7B", "inference": false} | QuantFactory/OpenHermes-2.5-Mistral-7B-GGUF | null | [
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"en",
"base_model:teknium/OpenHermes-2.5-Mistral-7B",
"license:apache-2.0",
"region:us"
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"en"
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#gguf #mistral #instruct #finetune #chatml #gpt4 #synthetic data #distillation #conversational #text-generation-inference #text-generation #en #base_model-teknium/OpenHermes-2.5-Mistral-7B #license-apache-2.0 #region-us
|
# OpenHermes-2.5-Mistral-7B-GGUF
- GGUF quantized versions for OpenHermes-2.5-Mistral-7B
- Created using URL
## Model description
OpenHermes 2.5 Mistral 7B is a state of the art Mistral Fine-tune, a continuation of OpenHermes 2 model, which trained on additional code datasets.
Potentially the most interesting findi... | [
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null | null |
# DavidAU/tinycapyorca-dpo-8x1b-Q8_0-GGUF
This model was converted to GGUF format from [`SanjiWatsuki/tinycapyorca-dpo-8x1b`](https://huggingface.co/SanjiWatsuki/tinycapyorca-dpo-8x1b) 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 mo... | {"tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/tinycapyorca-dpo-8x1b-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-09T04:54:46+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/tinycapyorca-dpo-8x1b-Q8_0-GGUF
This model was converted to GGUF format from 'SanjiWatsuki/tinycapyorca-dpo-8x1b' 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:
... | [
"# DavidAU/tinycapyorca-dpo-8x1b-Q8_0-GGUF\nThis model was converted to GGUF format from 'SanjiWatsuki/tinycapyorca-dpo-8x1b' 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 t... | [
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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. -->
# adapter_dapt_reviews_small
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unkno... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "adapter_dapt_reviews_small", "results": []}]} | jgrc3/adapter_dapt_reviews_small | null | [
"tensorboard",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"region:us"
] | null | 2024-04-09T04:56:11+00:00 | [] | [] | TAGS
#tensorboard #generated_from_trainer #base_model-roberta-base #license-mit #region-us
| adapter\_dapt\_reviews\_small
=============================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5694
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 11\n* total\\_train\\_batch\\_size: 352\n* optimizer: Adam with betas=(0.9,0.98) and epsil... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | amine-01/huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-09T04:56:49+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
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": "AlexWortega/v4"} | AlexWortega/vikhr-7b-v4-chatml-veles | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:AlexWortega/v4",
"region:us"
] | null | 2024-04-09T04:57:46+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-AlexWortega/v4 #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]:
#... | [
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"## Model Details",
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text-generation | transformers |
# T3qm7Shadow-7B
T3qm7Shadow-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [CorticalStack/shadow-clown-7B-slerp](https://huggingface.co/CorticalStack/shadow-clown-7B-slerp)
## 🧩 Configuration
```yaml
models:
- model: nlpguy/T3QM7
# No p... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["CorticalStack/shadow-clown-7B-slerp"]} | automerger/T3qm7Shadow-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:CorticalStack/shadow-clown-7B-slerp",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T04:59:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-CorticalStack/shadow-clown-7B-slerp #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# T3qm7Shadow-7B
T3qm7Shadow-7B is an automated merge created by Maxime Labonne using the following configuration.
* CorticalStack/shadow-clown-7B-slerp
## Configuration
## Usage
| [
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null | null |
# DavidAU/tinycapyorca-dpo-8x1b-Q6_K-GGUF
This model was converted to GGUF format from [`SanjiWatsuki/tinycapyorca-dpo-8x1b`](https://huggingface.co/SanjiWatsuki/tinycapyorca-dpo-8x1b) 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 mo... | {"tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/tinycapyorca-dpo-8x1b-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-09T05:01:05+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/tinycapyorca-dpo-8x1b-Q6_K-GGUF
This model was converted to GGUF format from 'SanjiWatsuki/tinycapyorca-dpo-8x1b' 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:
... | [
"# DavidAU/tinycapyorca-dpo-8x1b-Q6_K-GGUF\nThis model was converted to GGUF format from 'SanjiWatsuki/tinycapyorca-dpo-8x1b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **MsPacman-v4**
This is a trained model of a **DQN** agent playing **MsPacman-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
reinforc... | {"library_name": "stable-baselines3", "tags": ["MsPacman-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "MsPacman-v4", "type": "MsPacman-v4"... | michaelhu1/dqn-MsPacman-v4 | null | [
"stable-baselines3",
"MsPacman-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-09T05:01:25+00:00 | [] | [] | TAGS
#stable-baselines3 #MsPacman-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing MsPacman-v4
This is a trained model of a DQN agent playing MsPacman-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with SB3 R... | [
"# DQN Agent playing MsPacman-v4\nThis is a trained model of a DQN agent playing MsPacman-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-trained agents included.",
"## Us... | [
"TAGS\n#stable-baselines3 #MsPacman-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing MsPacman-v4\nThis is a trained model of a DQN agent playing MsPacman-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stab... | [
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null | null |
# DavidAU/tinycapyorca-8x1b-Q8_0-GGUF
This model was converted to GGUF format from [`SanjiWatsuki/tinycapyorca-8x1b`](https://huggingface.co/SanjiWatsuki/tinycapyorca-8x1b) 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](ht... | {"tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/tinycapyorca-8x1b-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-09T05:05:01+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/tinycapyorca-8x1b-Q8_0-GGUF
This model was converted to GGUF format from 'SanjiWatsuki/tinycapyorca-8x1b' 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/tinycapyorca-8x1b-Q8_0-GGUF\nThis model was converted to GGUF format from 'SanjiWatsuki/tinycapyorca-8x1b' 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.\... | [
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"# DavidAU/tinycapyorca-8x1b-Q8_0-GGUF\nThis model was converted to GGUF format from 'SanjiWatsuki/tinycapyorca-8x1b' 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 U... | [
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null | null |
# DavidAU/tinycapyorca-8x1b-Q6_K-GGUF
This model was converted to GGUF format from [`SanjiWatsuki/tinycapyorca-8x1b`](https://huggingface.co/SanjiWatsuki/tinycapyorca-8x1b) 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](ht... | {"tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/tinycapyorca-8x1b-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-09T05:07:36+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/tinycapyorca-8x1b-Q6_K-GGUF
This model was converted to GGUF format from 'SanjiWatsuki/tinycapyorca-8x1b' 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:... | [
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"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# DavidAU/tinycapyorca-8x1b-Q6_K-GGUF\nThis model was converted to GGUF format from 'SanjiWatsuki/tinycapyorca-8x1b' 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 b... |
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": []} | Joyqiuyue/DPO_Super | null | [
"transformers",
"safetensors",
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"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-09T05:08:13+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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):
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"## Model Details",
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