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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Sumail/Barista50](https://huggingface.co/Su... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Sumail/Barista50", "coffie3/sx8"]} | Sumail/Barista52 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:Sumail/Barista50",
"base_model:coffie3/sx8",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:16:17+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-Sumail/Barista50 #base_model-coffie3/sx8 #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Sumail/Barista50
* coffie3/sx8
### Configuration
The following YAML configurati... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* Sumail/Barista50\n* coffie3/sx8",
"### Configuration\n... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-Sumail/Barista50 #base_model-coffie3/sx8 #autotrain_compatible #endpoints_compatible #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
... | [
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null | transformers |
# DavidAU/Panda-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Panda-7B-v0.1`](https://huggingface.co/NeuralNovel/Panda-7B-v0.1) 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://huggingf... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["NeuralNovel/Creative-Logic-v1", "NeuralNovel/Neural-Story-v1"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "inference": false} | DavidAU/Panda-7B-v0.1-Q6_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:NeuralNovel/Creative-Logic-v1",
"dataset:NeuralNovel/Neural-Story-v1",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T03:17:05+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #dataset-NeuralNovel/Creative-Logic-v1 #dataset-NeuralNovel/Neural-Story-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# DavidAU/Panda-7B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Panda-7B-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# DavidAU/Panda-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Panda-7B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n... | [
"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-NeuralNovel/Creative-Logic-v1 #dataset-NeuralNovel/Neural-Story-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us \n",
"# DavidAU/Panda-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Panda-7B-... | [
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"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #dataset-NeuralNovel/Creative-Logic-v1 #dataset-NeuralNovel/Neural-Story-v1 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us \n# DavidAU/Panda-7B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Panda-7B-v0.1' ... |
text-generation | transformers | ## Quick Summary
This model is an adaptation of the `mistralai/Mistral-7B-Instruct-v0.2`, refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the `MergeKit` and `PruneMe` repositories to optimiz... | {"library_name": "transformers", "tags": ["#mergekit ", "#arcee-ai"], "datasets": ["arcee-ai/sec-data-mini"]} | arcee-ai/Mistral-7B-Instruct-v0.2-sliced-24-layer | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"#mergekit ",
"#arcee-ai",
"conversational",
"dataset:arcee-ai/sec-data-mini",
"arxiv:2403.17887",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T03:18:15+00:00 | [
"2403.17887"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation ##mergekit ##arcee-ai #conversational #dataset-arcee-ai/sec-data-mini #arxiv-2403.17887 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## Quick Summary
This model is an adaptation of the 'mistralai/Mistral-7B-Instruct-v0.2', refined through the application of layer pruning techniques as detailed in the paper "The Unreasonable Ineffectiveness of the Deeper Layers." It incorporates methodologies from the 'MergeKit' and 'PruneMe' repositories to optimiz... | [
"## Quick Summary\n\nThis model is an adaptation of the 'mistralai/Mistral-7B-Instruct-v0.2', refined through the application of layer pruning techniques as detailed in the paper \"The Unreasonable Ineffectiveness of the Deeper Layers.\" It incorporates methodologies from the 'MergeKit' and 'PruneMe' repositories t... | [
"TAGS\n#transformers #safetensors #mistral #text-generation ##mergekit ##arcee-ai #conversational #dataset-arcee-ai/sec-data-mini #arxiv-2403.17887 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"## Quick Summary\n\nThis model is an adaptation of the 'mistralai/Mistral-7B-... | [
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text-generation | transformers |
# Unmixtraled 22B expert 4
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
This is a 22B Mistral model recycling weights from [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mix... | {"license": "apache-2.0", "tags": ["mixtral", "dense", "mistral", "expert"]} | thomasgauthier/Unmixtraled-22B-v0.1-expert-4 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mixtral",
"dense",
"expert",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T03:18:51+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Unmixtraled 22B expert 4
========================
>
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
>
>
>
This is a 22B Mistral model recycling weights from mistral-community/Mixtral-8x22B-v0.1.
The mode... | [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] | [
49
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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": []} | eitanturok/mistral-tokenizer-tool | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:19:08+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
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"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optiona... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/grimulkan/Xwin-longLORA-70b-rope8-32k-fp16
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermache... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "grimulkan/Xwin-longLORA-70b-rope8-32k-fp16", "quantized_by": "mradermacher"} | mradermacher/Xwin-longLORA-70b-rope8-32k-fp16-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:grimulkan/Xwin-longLORA-70b-rope8-32k-fp16",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:19:27+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-grimulkan/Xwin-longLORA-70b-rope8-32k-fp16 #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 #en #base_model-grimulkan/Xwin-longLORA-70b-rope8-32k-fp16 #license-llama2 #endpoints_compatible #region-us \n"
] | [
52
] | [
"TAGS\n#transformers #gguf #en #base_model-grimulkan/Xwin-longLORA-70b-rope8-32k-fp16 #license-llama2 #endpoints_compatible #region-us \n"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Aeala/VicUnlocked-alpaca-30b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/VicUnlocked-... | {"language": ["en"], "library_name": "transformers", "base_model": "Aeala/VicUnlocked-alpaca-30b", "quantized_by": "mradermacher"} | mradermacher/VicUnlocked-alpaca-30b-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Aeala/VicUnlocked-alpaca-30b",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:19:29+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Aeala/VicUnlocked-alpaca-30b #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 #en #base_model-Aeala/VicUnlocked-alpaca-30b #endpoints_compatible #region-us \n"
] | [
37
] | [
"TAGS\n#transformers #gguf #en #base_model-Aeala/VicUnlocked-alpaca-30b #endpoints_compatible #region-us \n"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/DreadPoor/Nynph-7B-Model_Stock
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "DreadPoor/Nynph-7B-Model_Stock", "quantized_by": "mradermacher"} | mradermacher/Nynph-7B-Model_Stock-GGUF | null | [
"transformers",
"gguf",
"merge",
"mergekit",
"lazymergekit",
"en",
"base_model:DreadPoor/Nynph-7B-Model_Stock",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:19:52+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-DreadPoor/Nynph-7B-Model_Stock #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 #en #base_model-DreadPoor/Nynph-7B-Model_Stock #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
55
] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-DreadPoor/Nynph-7B-Model_Stock #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
null | null |
# DavidAU/Mini-Mixtral-v0.2-Q6_K-GGUF
This model was converted to GGUF format from [`NeuralNovel/Mini-Mixtral-v0.2`](https://huggingface.co/NeuralNovel/Mini-Mixtral-v0.2) 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](http... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "unsloth/mistral-7b-v0.2", "mistralai/Mistral-7B-Instruct-v0.2", "llama-cpp", "gguf-my-repo"], "base_model": ["unsloth/mistral-7b-v0.2", "mistralai/Mistral-7B-Instruct-v0.2"]} | DavidAU/Mini-Mixtral-v0.2-Q6_K-GGUF | null | [
"gguf",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"unsloth/mistral-7b-v0.2",
"mistralai/Mistral-7B-Instruct-v0.2",
"llama-cpp",
"gguf-my-repo",
"base_model:unsloth/mistral-7b-v0.2",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T03:20:12+00:00 | [] | [] | TAGS
#gguf #moe #frankenmoe #merge #mergekit #lazymergekit #unsloth/mistral-7b-v0.2 #mistralai/Mistral-7B-Instruct-v0.2 #llama-cpp #gguf-my-repo #base_model-unsloth/mistral-7b-v0.2 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# DavidAU/Mini-Mixtral-v0.2-Q6_K-GGUF
This model was converted to GGUF format from 'NeuralNovel/Mini-Mixtral-v0.2' 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/Mini-Mixtral-v0.2-Q6_K-GGUF\nThis model was converted to GGUF format from 'NeuralNovel/Mini-Mixtral-v0.2' 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... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **ALE/Pacman-v5**
This is a trained model of a **DQN** agent playing **ALE/Pacman-v5**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framework for Stable Baselines3
rein... | {"library_name": "stable-baselines3", "tags": ["ALE/Pacman-v5", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "ALE/Pacman-v5", "type": "ALE/Pacm... | ledmands/dqn_Pacman-v5_buff15e5_v2 | null | [
"stable-baselines3",
"ALE/Pacman-v5",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T03:21:08+00:00 | [] | [] | TAGS
#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing ALE/Pacman-v5
This is a trained model of a DQN agent playing ALE/Pacman-v5
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents included.
## Usage (with S... | [
"# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-trained agents included.",
"#... | [
"TAGS\n#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework fo... | [
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"TAGS\n#stable-baselines3 #ALE/Pacman-v5 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing ALE/Pacman-v5\nThis is a trained model of a DQN agent playing ALE/Pacman-v5\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stab... |
automatic-speech-recognition | transformers |
# Model Card
- **Developed by:** [Cnam-LMSSC](https://huggingface.co/Cnam-LMSSC)
- **Model type:** [Wav2Vec2ForCTC](https://huggingface.co/transformers/v4.9.2/model_doc/wav2vec2.html#transformers.Wav2Vec2ForCTC)
- **Language:** French
- **License:** MIT
- **Finetuned from model:** [facebook/wav2vec2-base-fr-voxpopul... | {"language": "fr", "license": "mit", "library_name": "transformers", "tags": ["audio", "automatic-speech-recognition", "speech", "phonemize", "phoneme"], "datasets": ["Cnam-LMSSC/vibravox"], "metrics": ["per"], "model-index": [{"name": "Wav2Vec2-base French finetuned for Speech-to-Phoneme by LMSSC", "results": [{"task"... | Cnam-LMSSC/phonemizer_body_conducted.in_ear.rigid_earpiece_microphone | null | [
"transformers",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"audio",
"speech",
"phonemize",
"phoneme",
"fr",
"dataset:Cnam-LMSSC/vibravox",
"license:mit",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:23:28+00:00 | [] | [
"fr"
] | TAGS
#transformers #safetensors #wav2vec2 #automatic-speech-recognition #audio #speech #phonemize #phoneme #fr #dataset-Cnam-LMSSC/vibravox #license-mit #model-index #endpoints_compatible #region-us
| Model Card
==========
* Developed by: Cnam-LMSSC
* Model type: Wav2Vec2ForCTC
* Language: French
* License: MIT
* Finetuned from model: facebook/wav2vec2-base-fr-voxpopuli-v2
* Finetuned dataset: 'body\_conducted.in\_ear.rigid\_earpiece\_microphone' audio of the 'speech\_clean' subset of Cnam-LMSSC/vibravox
* Sampler... | [] | [
"TAGS\n#transformers #safetensors #wav2vec2 #automatic-speech-recognition #audio #speech #phonemize #phoneme #fr #dataset-Cnam-LMSSC/vibravox #license-mit #model-index #endpoints_compatible #region-us \n"
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] |
null | null |
# DavidAU/Rosa_v1_3B-Q8_0-GGUF
This model was converted to GGUF format from [`jeiku/Rosa_v1_3B`](https://huggingface.co/jeiku/Rosa_v1_3B) 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/jeiku/Rosa_v1_... | {"language": ["en"], "license": "other", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Rosa_v1_3B-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:other",
"region:us"
] | null | 2024-04-11T03:30:56+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-other #region-us
|
# DavidAU/Rosa_v1_3B-Q8_0-GGUF
This model was converted to GGUF format from 'jeiku/Rosa_v1_3B' 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 can als... | [
"# DavidAU/Rosa_v1_3B-Q8_0-GGUF\nThis model was converted to GGUF format from 'jeiku/Rosa_v1_3B' 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\nServer... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-other #region-us \n",
"# DavidAU/Rosa_v1_3B-Q8_0-GGUF\nThis model was converted to GGUF format from 'jeiku/Rosa_v1_3B' 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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null | null |
# DavidAU/Mistral-7B-storywriter-Q6_K-GGUF
This model was converted to GGUF format from [`Norquinal/Mistral-7B-storywriter`](https://huggingface.co/Norquinal/Mistral-7B-storywriter) 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... | {"license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Mistral-7B-storywriter-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-11T03:31:50+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Mistral-7B-storywriter-Q6_K-GGUF
This model was converted to GGUF format from 'Norquinal/Mistral-7B-storywriter' 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/Mistral-7B-storywriter-Q6_K-GGUF\nThis model was converted to GGUF format from 'Norquinal/Mistral-7B-storywriter' 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 th... | [
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... | [
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null | null |
# DavidAU/MPT-7b-WizardLM_Uncensored-Storywriter-Merge-Q6_K-GGUF
This model was converted to GGUF format from [`TehVenom/MPT-7b-WizardLM_Uncensored-Storywriter-Merge`](https://huggingface.co/TehVenom/MPT-7b-WizardLM_Uncensored-Storywriter-Merge) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/s... | {"tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/MPT-7b-WizardLM_Uncensored-Storywriter-Merge-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-11T03:32:52+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/MPT-7b-WizardLM_Uncensored-Storywriter-Merge-Q6_K-GGUF
This model was converted to GGUF format from 'TehVenom/MPT-7b-WizardLM_Uncensored-Storywriter-Merge' 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/MPT-7b-WizardLM_Uncensored-Storywriter-Merge-Q6_K-GGUF\nThis model was converted to GGUF format from 'TehVenom/MPT-7b-WizardLM_Uncensored-Storywriter-Merge' 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 thr... | [
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - jcjo/peb-sdxl-lora
<Gallery />
## Model description
### These are jcjo/peb-sdxl-lora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`/content/drive/MyDrive/... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "a <peb0><peb1> woman"}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a <peb0><peb1> woman"} | jcjo/peb-sdxl-lora | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-11T03:33:54+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - jcjo/peb-sdxl-lora
<Gallery />
## Model description
### These are jcjo/peb-sdxl-lora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download '/content/drive/MyDrive/Colab_N... | [
"# SDXL LoRA DreamBooth - jcjo/peb-sdxl-lora\n\n<Gallery />",
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"### These are jcjo/peb-sdxl-lora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.",
"## Download model",
"### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke\n\n- LoRA: download '/conte... | [
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"# SDXL LoRA DreamBooth - jcjo/peb-sdxl-lora\n\n<Gallery />",
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text-generation | transformers |
# Unmixtraled 22B expert 5
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
This is a 22B Mistral model recycling weights from [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mix... | {"license": "apache-2.0", "tags": ["mixtral", "dense", "mistral", "expert"]} | thomasgauthier/Unmixtraled-22B-v0.1-expert-5 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mixtral",
"dense",
"expert",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T03:34:14+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Unmixtraled 22B expert 5
========================
>
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
>
>
>
This is a 22B Mistral model recycling weights from mistral-community/Mixtral-8x22B-v0.1.
The mode... | [] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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49
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] |
null | transformers |
This model has been pushed to the Hub using ****:
- Repo: [More Information Needed]
- Docs: [More Information Needed] | {"tags": ["pytorch_model_hub_mixin", "model_hub_mixin"]} | TracyBayBong/my-awesome-model | null | [
"transformers",
"safetensors",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:34:51+00:00 | [] | [] | TAGS
#transformers #safetensors #pytorch_model_hub_mixin #model_hub_mixin #endpoints_compatible #region-us
|
This model has been pushed to the Hub using :
- Repo:
- Docs: | [] | [
"TAGS\n#transformers #safetensors #pytorch_model_hub_mixin #model_hub_mixin #endpoints_compatible #region-us \n"
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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. -->
# ft-HuggingFaceH4-zephyr-7b-beta-qlora-v3
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingfac... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "ft-HuggingFaceH4-zephyr-7b-beta-qlora-v3", "results": []}]} | ALBADDAWI/ft-HuggingFaceH4-zephyr-7b-beta-qlora-v3 | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:HuggingFaceH4/zephyr-7b-beta",
"license:mit",
"region:us"
] | null | 2024-04-11T03:34:59+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-HuggingFaceH4/zephyr-7b-beta #license-mit #region-us
| ft-HuggingFaceH4-zephyr-7b-beta-qlora-v3
========================================
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.2700
Model description
-----------------
More information needed
Intended... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 5\n* total\\_train\\_batch\\_size: 80\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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... | APLunch/ppo-lunar-lander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T03:36:35+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.",
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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. -->
# gpt2-cpt-white
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the shahadalkhalifa/Crypto_Whitepape... | {"license": "mit", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["shahadalkhalifa/Crypto_Whitepaper_Labeled"], "base_model": "gpt2", "model-index": [{"name": "gpt2-cpt-white", "results": []}]} | stevenjunliu/gpt2-cpt-white | null | [
"transformers",
"safetensors",
"gpt2",
"text-generation",
"alignment-handbook",
"trl",
"sft",
"generated_from_trainer",
"dataset:shahadalkhalifa/Crypto_Whitepaper_Labeled",
"base_model:gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"reg... | null | 2024-04-11T03:39:07+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #alignment-handbook #trl #sft #generated_from_trainer #dataset-shahadalkhalifa/Crypto_Whitepaper_Labeled #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# gpt2-cpt-white
This model is a fine-tuned version of gpt2 on the shahadalkhalifa/Crypto_Whitepaper_Labeled dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
"# gpt2-cpt-white\n\nThis model is a fine-tuned version of gpt2 on the shahadalkhalifa/Crypto_Whitepaper_Labeled dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Traini... | [
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null | mlx |
# mlx-community/phi-2-orange-v2
This model was converted to MLX format from [`rhysjones/phi-2-orange-v2`]() using mlx-lm version **0.4.0**.
Refer to the [original model card](https://huggingface.co/rhysjones/phi-2-orange-v2) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from... | {"license": "mit", "tags": ["mlx"], "datasets": ["Open-Orca/SlimOrca-Dedup", "migtissera/Synthia-v1.3", "LDJnr/Verified-Camel", "LDJnr/Pure-Dove", "LDJnr/Capybara", "meta-math/MetaMathQA", "Intel/orca_dpo_pairs", "argilla/ultrafeedback-binarized-preferences-cleaned"], "widget": [{"example_title": "Example interaction",... | mlx-community/phi-2-orange-v2 | null | [
"mlx",
"safetensors",
"phi",
"dataset:Open-Orca/SlimOrca-Dedup",
"dataset:migtissera/Synthia-v1.3",
"dataset:LDJnr/Verified-Camel",
"dataset:LDJnr/Pure-Dove",
"dataset:LDJnr/Capybara",
"dataset:meta-math/MetaMathQA",
"dataset:Intel/orca_dpo_pairs",
"dataset:argilla/ultrafeedback-binarized-prefer... | null | 2024-04-11T03:41:20+00:00 | [] | [] | TAGS
#mlx #safetensors #phi #dataset-Open-Orca/SlimOrca-Dedup #dataset-migtissera/Synthia-v1.3 #dataset-LDJnr/Verified-Camel #dataset-LDJnr/Pure-Dove #dataset-LDJnr/Capybara #dataset-meta-math/MetaMathQA #dataset-Intel/orca_dpo_pairs #dataset-argilla/ultrafeedback-binarized-preferences-cleaned #license-mit #model-index... |
# mlx-community/phi-2-orange-v2
This model was converted to MLX format from ['rhysjones/phi-2-orange-v2']() using mlx-lm version 0.4.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/phi-2-orange-v2\nThis model was converted to MLX format from ['rhysjones/phi-2-orange-v2']() using mlx-lm version 0.4.0.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# Unmixtraled 22B expert 6
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
This is a 22B Mistral model recycling weights from [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mix... | {"license": "apache-2.0", "tags": ["mixtral", "dense", "mistral", "expert"]} | thomasgauthier/Unmixtraled-22B-v0.1-expert-6 | null | [
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"license:apache-2.0",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
] | null | 2024-04-11T03:43:11+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Unmixtraled 22B expert 6
========================
>
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
>
>
>
This is a 22B Mistral model recycling weights from mistral-community/Mixtral-8x22B-v0.1.
The mode... | [] | [
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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. -->
# MyThing
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None datase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "MyThing", "results": []}]} | DaJulster/MyThing | null | [
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"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/bart-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T03:48:22+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| MyThing
=======
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 8.4508
* Rouge1: 0.0
* Rouge2: 0.0
* Rougel: 0.0
* Rougelsum: 0.0
* Gen Len: 20.0
Model description
-----------------
More information needed
Intended ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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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": []} | 0x0son0/ml_36 | 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]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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": "beomi/Yi-Ko-6B"} | howdi2000/may_v5 | null | [
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"tensorboard",
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"1910.09700"
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#peft #tensorboard #safetensors #arxiv-1910.09700 #base_model-beomi/Yi-Ko-6B #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]:
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#... | [
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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. -->
# V0410MPTEST4
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datas... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0410MPTEST4", "results": []}]} | Litzy619/V0410MPTEST4 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-11T04:00:02+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0410MPTEST4
============
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: 0.0784
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
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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": []} | Dai35106/distilbert-base-uncased-distortion-classification | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T04:00:03+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# distilbert-base-uncased-lora-text-classification
This model is a fine-tuned version of [distilbert-base-uncased](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-lora-text-classification", "results": []}]} | Dai35106/distilbert-base-uncased-lora-text-classification | null | [
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"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T04:00:09+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #region-us
| distilbert-base-uncased-lora-text-classification
================================================
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: 2.6098
* Accuracy: {'accuracy': 0.37777777777777777}
Model descripti... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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text-generation | transformers |
# Fork from google/gemma-1.1-7b-it
## 4-bit Quantization
```python
nf4_config = BitsAndBytesConfig(load_in_4bit=True,
bnb_4bit_use_double_quant=True,
bnb_4bit_compute_dtype=torch.bfloat16,
bnb_4bit_quant_type="nf4")
```
#... | {"license": "gemma", "library_name": "transformers", "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, you\u2019re requi... | rainjay/gemma-1.1-7b-it-4bit | null | [
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================================
4-bit Quantization
------------------
Gemma Model Card
================
Model Page: Gemma
This model card corresponds to the latest 7B instruct version of the Gemma model. Here you can find other models in the Gemma family:
Base: 2B, Instruct: ... | [
"### Description\n\n\nGemma is a family of lightweight, state-of-the-art open models from Google,\nbuilt from the same research and technology used to create the Gemini models.\nThey are text-to-text, decoder-only large language models, available in English,\nwith open weights, pre-trained variants, and instruction... | [
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text-generation | transformers |
# Unmixtraled 22B expert 7
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
This is a 22B Mistral model recycling weights from [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mix... | {"license": "apache-2.0", "tags": ["mixtral", "dense", "mistral", "expert"]} | thomasgauthier/Unmixtraled-22B-v0.1-expert-7 | null | [
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"region:us"
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#transformers #safetensors #mistral #text-generation #mixtral #dense #expert #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Unmixtraled 22B expert 7
========================
>
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
>
>
>
This is a 22B Mistral model recycling weights from mistral-community/Mixtral-8x22B-v0.1.
The mode... | [] | [
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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. -->
# spark-name-ar-to-en
This model is a fine-tuned version of [ihebaker10/spark-name-ar-to-en](https://huggingface.co/ihebaker10/spa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "ihebaker10/spark-name-ar-to-en", "model-index": [{"name": "spark-name-ar-to-en", "results": []}]} | ihebaker10/spark-name-ar-to-en | null | [
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| spark-name-ar-to-en
===================
This model is a fine-tuned version of ihebaker10/spark-name-ar-to-en on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4970
* Bleu: 0.0
* Gen Len: 4.134
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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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": []} | 0x0uncle0/uncle03 | 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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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": []} | Yasusan/Llama2_0409 | 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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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. -->
# robust_llm_pythia-imdb-1b-mz-ada-v3-bs-16
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.co/El... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-imdb-1b-mz-ada-v3-bs-16", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-1b-mz-ada-v3-bs-16 | null | [
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|
# robust_llm_pythia-imdb-1b-mz-ada-v3-bs-16
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
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text-generation | transformers |
# Unmixtraled 22B 8x linear merge
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
This is a 22B Mistral model recycling weights from [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-commun... | {"license": "apache-2.0", "tags": ["mixtral", "dense", "mistral", "expert"]} | thomasgauthier/Unmixtraled-22B-v0.1-lerp | null | [
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| Unmixtraled 22B 8x linear merge
===============================
>
> [!WARNING]
> This model outputs gibberish as it was not trained under the dense configuration. Finetuning or merging is needed to make this model useful.
>
>
>
This is a 22B Mistral model recycling weights from mistral-community/Mixtral-8x22B-... | [] | [
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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-MoE-A2.7B", "model-index": [{"name": "out", "results": []}]} | jayzeng/llm-fun | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
out
===
This model is a fine-tuned version of Qwen/Qwen1.5-MoE-A2.7B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2553
Model description
-----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
<h1 align="center">
🌊 WaveCoder: Widespread And Versatile Enhanced Code LLM
</h1>
<p align="center">
<a href="https://arxiv.org/abs/2312.14187"><b>[📜 Paper]</b></a> •
<!-- <a href=""><b>[🤗 HF Models]</b></a> • -->
<a href="https://github.com/microsoft/WaveCoder"><b>[🐱 GitHub]</b></a>
<br>
<a href="https... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["code"], "datasets": ["humaneval"], "metrics": ["code_eval"], "license_link": "https://huggingface.co/microsoft/wavecoder-ds-6.7b/blob/main/LICENSE", "pipeline_tag": "text-generation"} | microsoft/wavecoder-ds-6.7b | null | [
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|
WaveCoder: Widespread And Versatile Enhanced Code LLM
=======================================================
[Repo for "[WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation](URL target=)"](URL Paper]</b></a> •
<p><a href="URL GitHub]</b></a>
<br>
<a href="URL Twitter]</b><... | [] | [
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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_73 | 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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- 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": []} | AlekHesa/testing-llama2-v4 | null | [
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# Model Card for Model ID
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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/Harpy-7B-Model_Stock
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "DreadPoor/Harpy-7B-Model_Stock", "quantized_by": "mradermacher"} | mradermacher/Harpy-7B-Model_Stock-GGUF | null | [
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| 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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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Equall/Saul-Base](https://huggingface.co/Eq... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Equall/Saul-Base", "HuggingFaceH4/zephyr-7b-beta"]} | mergekit-community/mergekit-slerp-ksadkxl | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Equall/Saul-Base
* HuggingFaceH4/zephyr-7b-beta
### Configuration
The following... | [
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null | transformers |
# Uploaded model
- **Developed by:** melitacruces
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | melitacruces/mistral-7b-gsm8k | null | [
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|
# Uploaded model
- Developed by: melitacruces
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model overview
<p align="center">
<img width=400 src="https://cdn-uploads.huggingface.co/production/uploads/64b63f8ad57e02621dc93c8b/HFnfguV4q5x7eIW09gcJD.png" alt="What happens when you type in 'Mixtral Instruct' into the DALL•E 3 XL v2 space"/>
</p>
This is a finetune of the newly released [mistral-community/... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["openchat/openchat_sharegpt4_dataset"]} | lightblue/Karasu-Mixtral-8x22B-v0.1 | null | [
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|
# Model overview
<p align="center">
<img width=400 src="URL alt="What happens when you type in 'Mixtral Instruct' into the DALL•E 3 XL v2 space"/>
</p>
This is a finetune of the newly released mistral-community/Mixtral-8x22B-v0.1 base model.
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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. -->
# 0.0_dataup_noreplacerej_iter_2
This model is a fine-tuned version of [ZhangShenao/0.0_dataup_noreplacerej_iter_1](https://huggin... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_dataup_noreplacerej_dataset"], "base_model": "ZhangShenao/0.0_dataup_noreplacerej_iter_1", "model-index": [{"name": "0.0_dataup_noreplacerej_iter_2", "results": []}]} | ZhangShenao/0.0_dataup_noreplacerej_iter_2 | null | [
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... | null | 2024-04-11T04:25:40+00:00 | [] | [] | TAGS
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# 0.0_dataup_noreplacerej_iter_2
This model is a fine-tuned version of ZhangShenao/0.0_dataup_noreplacerej_iter_1 on the ZhangShenao/0.0_dataup_noreplacerej_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More... | [
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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": "OrionStarAI/Orion-14B-Chat"} | seungalee1112/q_g_1ep | null | [
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|
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## Model Details
### Model Description
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### Model Sources [optional]
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- Paper [optional]:
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | daSooo/xlm-roberta-base-finetuned-panx-de | null | [
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1363
* F1: 0.8658
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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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text-generation | transformers |
<h1 align="center">
🌊 WaveCoder: Widespread And Versatile Enhanced Code LLM
</h1>
<p align="center">
<a href="https://arxiv.org/abs/2312.14187"><b>[📜 Paper]</b></a> •
<!-- <a href=""><b>[🤗 HF Models]</b></a> • -->
<a href="https://github.com/microsoft/WaveCoder"><b>[🐱 GitHub]</b></a>
<br>
<a href="https... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["code"], "datasets": ["humaneval"], "metrics": ["code_eval"], "license_link": "https://huggingface.co/microsoft/wavecoder-pro-6.7b/blob/main/LICENSE", "pipeline_tag": "text-generation"} | microsoft/wavecoder-pro-6.7b | null | [
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|
WaveCoder: Widespread And Versatile Enhanced Code LLM
=======================================================
[Repo for "[WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation](URL target=)"](URL Paper]</b></a> •
<p><a href="URL GitHub]</b></a>
<br>
<a href="URL Twitter]</b><... | [] | [
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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": []} | Ekhlass/phi2-flutter-questions-7 | 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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text-generation | transformers |
<h1 align="center">
🌊 WaveCoder: Widespread And Versatile Enhanced Code LLM
</h1>
<p align="center">
<a href="https://arxiv.org/abs/2312.14187"><b>[📜 Paper]</b></a> •
<!-- <a href=""><b>[🤗 HF Models]</b></a> • -->
<a href="https://github.com/microsoft/WaveCoder"><b>[🐱 GitHub]</b></a>
<br>
<a href="https... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["code"], "datasets": ["humaneval"], "metrics": ["code_eval"], "license_link": "https://huggingface.co/microsoft/wavecoder-ultra-6.7b/blob/main/LICENSE", "pipeline_tag": "text-generation"} | microsoft/wavecoder-ultra-6.7b | null | [
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|
WaveCoder: Widespread And Versatile Enhanced Code LLM
=======================================================
[Repo for "[WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation](URL target=)"](URL Paper]</b></a> •
<p><a href="URL GitHub]</b></a>
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: True
- _load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | {"library_name": "peft"} | sallywww/onepponeinv | null | [
"peft",
"tensorboard",
"safetensors",
"region:us"
] | null | 2024-04-11T04:30:11+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: True
- _load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | [
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text-generation | transformers | # Mixtral-8x7B--v0.1: Model 1
## Model Description
This model is the 1st extracted standalone model from the [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1), using the [Mixtral Model Expert Extractor tool](https://github.com/MeNicefellow/Mixtral-Model-Expert-Extractor) I made. It is ... | {"license": "apache-2.0"} | DrNicefellow/Mistral-1-from-Mixtral-8x7B-v0.1 | null | [
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"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T04:31:51+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Mixtral-8x7B--v0.1: Model 1
## Model Description
This model is the 1st extracted standalone model from the mistralai/Mixtral-8x7B-v0.1, using the Mixtral Model Expert Extractor tool I made. It is constructed by selecting the first expert from each Mixture of Experts (MoE) layer. The extraction of this model is expe... | [
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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. -->
# hw_whisper_tiny_ver01
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on... | {"language": ["ko"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "base_model": "openai/whisper-base", "model-index": [{"name": "hw_whisper_tiny_ver01", "results": []}]} | gawon16/model_save | null | [
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|
# hw_whisper_tiny_ver01
This model is a fine-tuned version of openai/whisper-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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text-generation | transformers |
# DavidAU/SOLARC-MOE-10.7Bx4-Q4_K_S-GGUF
This model was converted to GGUF format from [`DopeorNope/SOLARC-MOE-10.7Bx4`](https://huggingface.co/DopeorNope/SOLARC-MOE-10.7Bx4) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"language": ["ko"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "tags": ["moe", "merge", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/SOLARC-MOE-10.7Bx4-Q4_K_S-GGUF | null | [
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|
# DavidAU/SOLARC-MOE-10.7Bx4-Q4_K_S-GGUF
This model was converted to GGUF format from 'DopeorNope/SOLARC-MOE-10.7Bx4' 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... | [
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text-generation | transformers |
# DavidAU/SOLARC-M-10.7B-Q6_K-GGUF
This model was converted to GGUF format from [`DopeorNope/SOLARC-M-10.7B`](https://huggingface.co/DopeorNope/SOLARC-M-10.7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hugging... | {"language": ["ko"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "tags": ["merge", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/SOLARC-M-10.7B-Q6_K-GGUF | null | [
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#transformers #gguf #merge #llama-cpp #gguf-my-repo #text-generation #ko #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us
|
# DavidAU/SOLARC-M-10.7B-Q6_K-GGUF
This model was converted to GGUF format from 'DopeorNope/SOLARC-M-10.7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
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text-generation | transformers |
# Percival_01M7-7B
Percival_01M7-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
## 🧩 Configuration
```yaml
models:
- model: AurelPx/Percival_01-7b-slerp
# No parameters necessar... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b"]} | automerger/Percival_01M7-7B | null | [
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|
# Percival_01M7-7B
Percival_01M7-7B is an automated merge created by Maxime Labonne using the following configuration.
* liminerity/M7-7b
## Configuration
## Usage
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text-generation | transformers |
## Llamacpp Quantizations of Mixtral-8x22B-v0.1
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2636">b2636</a> for quantization.
Original model: https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1
## Prompt format
... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["moe"], "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Mixtral-8x22B-v0.1-GGUF | null | [
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| Llamacpp Quantizations of Mixtral-8x22B-v0.1
--------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Prompt format
-------------
This is a base model with no prompt format.
Download a file (not the whole branch) from below:
-------------------... | [] | [
"TAGS\n#transformers #gguf #mixtral #text-generation #moe #fr #it #de #es #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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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": []} | ashanhr/wav2vec2-large-xls-r-2b-finetune-dali-480-minutes-high-lr | null | [
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"safetensors",
"wav2vec2",
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"endpoints_compatible",
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#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #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.
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- Shared by [optional]:
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null | null |
<p align="center">
<a href="https://github.com/zjunlp/deepke"> <img src="assets/oneke_logo.png" width="400"/></a>
<p>
<p align="center">
<a href="https://oneke.openkg.cn/">
<img alt="Documentation" src="https://img.shields.io/badge/demo-website-blue">
</a>
<a href="https://pypi.org/project/d... | {"license": "cc-by-nc-sa-4.0"} | openkg/OneKE | null | [
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"license:cc-by-nc-sa-4.0",
"region:us"
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|
<p align="center">
<a href="URL <img src="assets/oneke_logo.png" width="400"/></a>
<p>
<p align="center">
<a href="URL
<img alt="Documentation" src="URL
</a>
<a href="URL
<img alt="PyPI" src="URL
</a>
<a href="URL
<img alt="GitHub" src="URL
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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": []} | clam004/phi-2 | null | [
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|
# Model Card for Model ID
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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": []} | MajesticShawarma/mistral_7b_guanaco | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Siren-7B-slerp
Siren-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [DreadPoor/Harpy-7B-Model_Stock](https://huggingface.co/DreadPoor/Harpy-7B-Model_Stock)
* [DreadPoor/Nynph-7B-Model_Stock](https://huggingfa... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "DreadPoor/Harpy-7B-Model_Stock", "DreadPoor/Nynph-7B-Model_Stock"], "base_model": ["DreadPoor/Harpy-7B-Model_Stock", "DreadPoor/Nynph-7B-Model_Stock"]} | DreadPoor/Siren-7B-slerp | null | [
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"autotrain_com... | null | 2024-04-11T04:45:08+00:00 | [] | [] | TAGS
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# Siren-7B-slerp
Siren-7B-slerp is a merge of the following models using LazyMergekit:
* DreadPoor/Harpy-7B-Model_Stock
* DreadPoor/Nynph-7B-Model_Stock
## Configuration
## Usage
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | daSooo/xlm-roberta-base-finetuned-panx-de-fr | null | [
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| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1639
* F1: 0.8591
Model description
-----------------
More information needed
Intended uses... | [
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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": []} | HeydarS/mistral_popQA_peft_v41 | 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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text-generation | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gemma-tf-dolly
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator ... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft"], "datasets": ["generator", "Vishaltiwari2019/textGen-databricks-dolly"], "base_model": "google/gemma-2b", "pipeline_tag": "text-generation", "model-index": [{"name": "gemma-tf-dolly", "results": []}]} | Vishaltiwari2019/gemma-tf-dolly | null | [
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|
# gemma-tf-dolly
This model is a fine-tuned version of google/gemma-2b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The... | [
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"## Training and evaluation data\n\nMore information needed",
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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": []} | 0x0dad0/test02 | null | [
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|
# Model Card for Model ID
## Model Details
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summarization | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mt5-small-finetuned-mt5-small
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) ... | {"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/mt5-small", "model-index": [{"name": "mt5-small-finetuned-mt5-small", "results": []}]} | petchbks01/mt5-small-finetuned-mt5-small | null | [
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| mt5-small-finetuned-mt5-small
=============================
This model is a fine-tuned version of google/mt5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4415
* Rouge1: 0.1099
* Rouge2: 0.0252
* Rougel: 0.1091
* Rougelsum: 0.1092
Model description
-----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-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: 8",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | daSooo/xlm-roberta-base-finetuned-panx-fr | null | [
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"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T05:01:34+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2750
* F1: 0.8495
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | daSooo/xlm-roberta-base-finetuned-panx-it | null | [
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"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T05:05:02+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-it
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2619
* F1: 0.8321
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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 | 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. -->
# mistralv1_dora_r24_1e4
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_dora_r24_1e4", "results": []}]} | fangzhaoz/mistralv1_dora_r24_1e4 | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T05:06:51+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistralv1_dora_r24_1e4
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
"# mistralv1_dora_r24_1e4\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-en
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-en", "results": []}]} | daSooo/xlm-roberta-base-finetuned-panx-en | null | [
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"license:mit",
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"region:us"
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| xlm-roberta-base-finetuned-panx-en
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3905
* F1: 0.6861
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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 |
# 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": []} | fangzhaoz/mistralv1_dora_r24_1e4_merged | 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:
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- License... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-all
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-all", "results": []}]} | daSooo/xlm-roberta-base-finetuned-panx-all | null | [
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| xlm-roberta-base-finetuned-panx-all
===================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1758
* F1: 0.8558
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\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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text-generation | transformers |
# mixtral-8x22b-v0.1-imatrix
Model creator: [Mistral AI](https://huggingface.co/mistralai)
Original model: [Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1).
## Original Description
None so far, but check back when Mistral releases the model officially on HF Hub.
## Description
T... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "16-bit", "GGUF", "mixtral", "moe"], "model_name": "MODELNAMEU", "base_model": "mistral-community/Mixtral-8x22B-v0.1", "inference": false, "model_creator": "MODELCREA... | ChristianAzinn/mixtral-8x22b-v0.1-imatrix | null | [
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|
# mixtral-8x22b-v0.1-imatrix
Model creator: Mistral AI
Original model: Mixtral-8x22B-v0.1.
## Original Description
None so far, but check back when Mistral releases the model officially on HF Hub.
## Description
This repo contains GGUF format files for the Mixtral-8x22B-v0.1 text generation model.
These files ... | [
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null | null |
# DavidAU/Nous-Hermes-2-SOLAR-10.7B-x2-MoE-Q5_K_S-GGUF
This model was converted to GGUF format from [`dillfrescott/Nous-Hermes-2-SOLAR-10.7B-x2-MoE`](https://huggingface.co/dillfrescott/Nous-Hermes-2-SOLAR-10.7B-x2-MoE) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-rep... | {"license": "wtfpl", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Nous-Hermes-2-SOLAR-10.7B-x2-MoE-Q5_K_S-GGUF | null | [
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"llama-cpp",
"gguf-my-repo",
"license:wtfpl",
"region:us"
] | null | 2024-04-11T05:09:49+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-wtfpl #region-us
|
# DavidAU/Nous-Hermes-2-SOLAR-10.7B-x2-MoE-Q5_K_S-GGUF
This model was converted to GGUF format from 'dillfrescott/Nous-Hermes-2-SOLAR-10.7B-x2-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 ser... | [
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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": []} | HeydarS/zephyr_popQA_peft_v42 | 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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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": []} | shtapm/whisper-large_0411_decoder_all_200steps | 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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text-generation | transformers |
# Gemma 2B Translation v0.90
- Eval Loss: `0.9972`
- Train Loss: `0.5927`
- lr: `5e-5`
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
```
<bos><start_of_turn>user
Translate into Korean.
English:
Hamsters don't eat cats.<end_of_turn>
<start_of_turn>model
햄스터는 고양이를 먹지 않습니다.<eos>
```
## Model De... | {"language": ["ko"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune", "translation"], "widget": [{"messages": [{"role": "user", "content": "Translate into Korean.\nEnglish:\n\nHamsters don't eat cats."}]}], "inference": {"parameters": {"max_new_tokens": 1024}}, "b... | lemon-mint/gemma-2b-translation-v0.90 | null | [
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|
# Gemma 2B Translation v0.90
- Eval Loss: '0.9972'
- Train Loss: '0.5927'
- lr: '5e-5'
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
## Model Description
- Developed by: 'lemon-mint'
- Model type: Gemma
- Language(s) (NLP): English
- License: gemma-terms-of-use
- Finetuned from model: googl... | [
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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": []} | winirrr/typhoon-7b-quote-demoV00 | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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automatic-speech-recognition | transformers.js | ERROR: type should be string, got "\nhttps://hf.co/vinai/PhoWhisper-medium with ONNX weights to be compatible with Transformers.js.\n\nPlease check out this demo using this 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"], "widget": [{"example_title": "Librispeech sample 1", "src": "https://cdn-media.huggingface.co/speech_samples/sample1.flac"}, {"example_title": "Librispeech sample 2", "src... | huuquyet/PhoWhisper-medium | null | [
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URL with ONNX weights to be compatible with URL.
Please check out this demo using this 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-tu... | [
"# 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... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | llm1234/falconbest | null | [
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#peft #safetensors #falcon #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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text-generation | transformers |
# 4season/model_eval_test14
# **Introduction**
This model is test version, alignment-tuned model.
We utilize state-of-the-art instruction fine-tuning methods including direct preference optimization (DPO). | {"language": ["en"], "license": "apache-2.0"} | 4season/alignment-model-test14 | null | [
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# 4season/model_eval_test14
# Introduction
This model is test version, alignment-tuned model.
We utilize state-of-the-art instruction fine-tuning methods including direct preference optimization (DPO). | [
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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. -->
# bert-finetuned-squad
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-squad", "results": []}]} | Highwassed/bert-finetuned-squad | null | [
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#transformers #tensorboard #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #endpoints_compatible #region-us
|
# bert-finetuned-squad
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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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. -->
# roberta-finetuned-inspirational
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/Faceb... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "roberta-finetuned-inspirational", "results": []}]} | reecursion/roberta-finetuned-inspirational | null | [
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| roberta-finetuned-inspirational
===============================
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1617
* F1: 0.9683
* Roc Auc: 0.9622
* Accuracy: 0.9125
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 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: 5",
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text-generation | transformers | ## References
For more information, please refer to our paper and GitHub repository.
Paper: [Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation](https://arxiv.org/abs/2401.16421)
GitHub: [BiPE](https://github.com/zhenyuhe00/BiPE)
Authors: *Zhenyu He\*, Guhao Feng\*, Shengjie Luo\*, ... | {"language": ["en"], "license": "mit"} | hzy00/BiPE_RoPE-1.6B | null | [
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"arxiv:2401.16421",
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| ## References
For more information, please refer to our paper and GitHub repository.
Paper: Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation
GitHub: BiPE
Authors: *Zhenyu He\*, Guhao Feng\*, Shengjie Luo\*, Kai Yang, Di He, Jingjing Xu, Zhi Zhang, Hongxia Yang, Liwei Wang*
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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. -->
# mistral-7b-dpo-full-wo-healthsearch_qa-ep3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-dpo-full-wo-healthsearch_qa-ep3", "results": []... | Minbyul/mistral-7b-dpo-full-wo-healthsearch_qa-ep3 | null | [
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"text-ge... | null | 2024-04-11T05:34:13+00:00 | [] | [] | TAGS
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|
# mistral-7b-dpo-full-wo-healthsearch_qa-ep3
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2680
- Rewards/chosen: -0.5188
- Rewards/rejected: -3.1722
- Rewards/accuracies: 0.890... | [
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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. -->
# reward_model_outputs
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unkno... | {"license": "mit", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "reward_model_outputs", "results": []}]} | PranavBP525/reward_model_outputs | null | [
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|
# reward_model_outputs
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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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": []} | kienlt/gemma-7b-math-adapter | 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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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_classification_on_5M_full_pretrained
This model is a fine-tuned version of [BigTMiami/amazon_pretraining_5M_model_corrected... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "BigTMiami/amazon_pretraining_5M_model_corrected", "model-index": [{"name": "imdb_classification_on_5M_full_pretrained", "results": []}]} | ltuzova/imdb_classification_on_5M_full_pretrained | null | [
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"license:mit",
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| imdb\_classification\_on\_5M\_full\_pretrained
==============================================
This model is a fine-tuned version of BigTMiami/amazon\_pretraining\_5M\_model\_corrected on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2117
* Accuracy: 0.9554
* F1 Macro: 0.9554... | [
"### 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=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio:... | [
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zero-shot-classification | sentence-transformers |
# Cross-Encoder for Natural Language Inference(NLI) for Japanese
> [!NOTE]
> Considering the results of the JNLI evaluation result, we recommend using [akiFQC/bert-base-japanese-v3_nli-jsnli-jnli-jsick](https://huggingface.co/akiFQC/bert-base-japanese-v3_nli-jsnli-jnli-jsick) for natural language inference in Japane... | {"language": "ja", "license": "cc-by-sa-4.0", "library_name": "sentence-transformers", "tags": ["cross-encoder", "tohoku-nlp/bert-base-japanese-v3", "nli", "natural-language-inference"], "datasets": ["shunk031/jsnli"], "pipeline_tag": "zero-shot-classification"} | akiFQC/bert-base-japanese-v3_nli-jsnli | null | [
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"dataset:shunk031/jsnli",
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|
# Cross-Encoder for Natural Language Inference(NLI) for Japanese
> [!NOTE]
> Considering the results of the JNLI evaluation result, we recommend using akiFQC/bert-base-japanese-v3_nli-jsnli-jnli-jsick for natural language inference in Japanese.
This model was trained using SentenceTransformers Cross-Encoder class. ... | [
"# Cross-Encoder for Natural Language Inference(NLI) for Japanese\n\n> [!NOTE]\n> Considering the results of the JNLI evaluation result, we recommend using akiFQC/bert-base-japanese-v3_nli-jsnli-jnli-jsick for natural language inference in Japanese.\n\nThis model was trained using SentenceTransformers Cross-Encoder... | [
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image-classification | timm | # Model card for resnet18-random
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | hershelmikhail/resnet18-random | null | [
"timm",
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"license:apache-2.0",
"region:us"
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#timm #pytorch #image-classification #license-apache-2.0 #region-us
| # Model card for resnet18-random
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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": []} | kienlt/gemma-7b-math-new | null | [
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"gemma",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-11T05:39:24+00:00 | [
"1910.09700"
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#transformers #safetensors #gemma #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:
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- License... | [
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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
model = load_from_hub(repo_id="issaree/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_s... | {"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": ... | issaree/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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#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
model = load_from_hub(repo_id="issaree/q-FrozenLake-v1-4x4-noSlippery", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = ... | [
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage\n\n model = load_from_hub(repo_id=\"issaree/q-FrozenLake-v1-4x4-noSlippery\", filename=\"URL\")\n\n # Don't forget to check if you need to add additional attributes (is_slippery=False ... | [
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null | null |
# DavidAU/Frankenstein-MoE-en-10.7Bx6-Q3_K_S-GGUF
This model was converted to GGUF format from [`MoEMoEKKung/Frankenstein-MoE-en-10.7Bx6`](https://huggingface.co/MoEMoEKKung/Frankenstein-MoE-en-10.7Bx6) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer t... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Frankenstein-MoE-en-10.7Bx6-Q3_K_S-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us
|
# DavidAU/Frankenstein-MoE-en-10.7Bx6-Q3_K_S-GGUF
This model was converted to GGUF format from 'MoEMoEKKung/Frankenstein-MoE-en-10.7Bx6' 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/Frankenstein-MoE-en-10.7Bx6-Q3_K_S-GGUF\nThis model was converted to GGUF format from 'MoEMoEKKung/Frankenstein-MoE-en-10.7Bx6' 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. -->
Phi-2 finetuned on [c-s-ale/alpaca-gpt4-data](https://huggingface.co/datasets/c-s-ale/alpaca-gpt4-data) dataset.
Trained only on first 9k samples for 1 epoch.
Prompt format:
```
### INSTRUCTION:
{instruction}
### INPUT:
{input}
... | {"library_name": "transformers", "tags": []} | timothyckl/phi-2-instruct-v1 | null | [
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#transformers #tensorboard #safetensors #gguf #phi #text-generation #custom_code #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
Phi-2 finetuned on c-s-ale/alpaca-gpt4-data dataset.
Trained only on first 9k samples for 1 epoch.
Prompt format:
| [
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null | transformers |
# Uploaded model
- **Developed by:** MilaNguyen
- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | MilaNguyen/lora_model | null | [
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|
# Uploaded model
- Developed by: MilaNguyen
- License: apache-2.0
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This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# Sommy-7B-Instruct-v0.2
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "Sommy-7B-Instruct-v0.2", "results": []}]} | goodemagod/Sommy-7B-Instruct-v0.2 | null | [
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"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:google-bert/bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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|
# Sommy-7B-Instruct-v0.2
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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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": []} | goodemagod/mi-super-modelo2 | null | [
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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": []} | goodemagod/SOMMY1.0 | null | [
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|
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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# Model Card for Model ID
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## Model Details
### Model Description
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