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# Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-iMat-GGUF
Quantized from fp32 with love.
* Quantizations made possible using mixtral-8x7b.imatrix file from [this](https://huggingface.co/datasets/ikawrakow/imatrix-from-wiki-train) repo (special thanks to [ikawrakow](h... | {"license": "apache-2.0", "tags": ["merge", "gguf", "iMat"]} | InferenceIllusionist/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-iMat-GGUF | null | [
"gguf",
"merge",
"iMat",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T01:49:55+00:00 | [] | [] | TAGS
#gguf #merge #iMat #license-apache-2.0 #region-us
| <img src="https://i.URL width="400"/>
# Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-iMat-GGUF
Quantized from fp32 with love.
* Quantizations made possible using mixtral-8x7b.imatrix file from this repo (special thanks to ikawrakow).
For a brief rundown of iMatrix quant performance please see this PR
<i>All quants are v... | [
"# Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-iMat-GGUF\n\nQuantized from fp32 with love.\n* Quantizations made possible using mixtral-8x7b.imatrix file from this repo (special thanks to ikawrakow).\n\nFor a brief rundown of iMatrix quant performance please see this PR\n\n<i>All quants are verified working prior to up... | [
"TAGS\n#gguf #merge #iMat #license-apache-2.0 #region-us \n",
"# Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-iMat-GGUF\n\nQuantized from fp32 with love.\n* Quantizations made possible using mixtral-8x7b.imatrix file from this repo (special thanks to ikawrakow).\n\nFor a brief rundown of iMatrix quant performance plea... | [
22,
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"TAGS\n#gguf #merge #iMat #license-apache-2.0 #region-us \n# Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-iMat-GGUF\n\nQuantized from fp32 with love.\n* Quantizations made possible using mixtral-8x7b.imatrix file from this repo (special thanks to ikawrakow).\n\nFor a brief rundown of iMatrix quant performance please see... |
text-generation | null |
# DavidAU/winter-garden-7b-delta-Q6_K-GGUF
This model was converted to GGUF format from [`maldv/winter-garden-7b-delta`](https://huggingface.co/maldv/winter-garden-7b-delta) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"license": "cc-by-nc-4.0", "tags": ["merge", "conversational", "multi-task", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/winter-garden-7b-delta-Q6_K-GGUF | null | [
"gguf",
"merge",
"conversational",
"multi-task",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-16T01:50:13+00:00 | [] | [] | TAGS
#gguf #merge #conversational #multi-task #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #region-us
|
# DavidAU/winter-garden-7b-delta-Q6_K-GGUF
This model was converted to GGUF format from 'maldv/winter-garden-7b-delta' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serv... | [
"# DavidAU/winter-garden-7b-delta-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/winter-garden-7b-delta' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CL... | [
"TAGS\n#gguf #merge #conversational #multi-task #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #region-us \n",
"# DavidAU/winter-garden-7b-delta-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/winter-garden-7b-delta' using URL via the URL's GGUF-my-repo space.\nRefer to the origina... | [
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"TAGS\n#gguf #merge #conversational #multi-task #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #region-us \n# DavidAU/winter-garden-7b-delta-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/winter-garden-7b-delta' using URL via the URL's GGUF-my-repo space.\nRefer to the original mode... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [GamblerOnTrain/danke30a](https://huggingfac... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["GamblerOnTrain/danke30a", "GamblerOnTrain/danke20a"]} | Sumail/Ame5 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:GamblerOnTrain/danke30a",
"base_model:GamblerOnTrain/danke20a",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:50:18+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-GamblerOnTrain/danke30a #base_model-GamblerOnTrain/danke20a #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* GamblerOnTrain/danke30a
* GamblerOnTrain/danke20a
### Configuration
The followi... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* GamblerOnTrain/danke30a\n* GamblerOnTrain/danke20a",
"... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-GamblerOnTrain/danke30a #base_model-GamblerOnTrain/danke20a #autotrain_compatible #endpoints_compatible #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"... | [
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"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-GamblerOnTrain/danke30a #base_model-GamblerOnTrain/danke20a #autotrain_compatible #endpoints_compatible #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Det... |
null | transformers |
# DavidAU/electric-sheep-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from [`maldv/electric-sheep-7b-alpha`](https://huggingface.co/maldv/electric-sheep-7b-alpha) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "llama-cpp", "gguf-my-repo"], "datasets": ["maldv/cyberpunk", "microsoft/orca-math-word-problems-200k", "Weyaxi/sci-datasets", "maldv/conversation-cixot"], "base_model": "maldv/winter-garden-7b-al... | DavidAU/electric-sheep-7b-alpha-Q6_K-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"mistral",
"llama-cpp",
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"dataset:maldv/cyberpunk",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:Weyaxi/sci-datasets",
"dataset:maldv/conversation-cixot",
"base_model:maldv/winter-garden-7b-alp... | null | 2024-04-16T01:53:16+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #mistral #llama-cpp #gguf-my-repo #en #dataset-maldv/cyberpunk #dataset-microsoft/orca-math-word-problems-200k #dataset-Weyaxi/sci-datasets #dataset-maldv/conversation-cixot #base_model-maldv/winter-garden-7b-alpha #license-cc-by-nc-4.0 #endpoints_compatible ... |
# DavidAU/electric-sheep-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from 'maldv/electric-sheep-7b-alpha' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Se... | [
"# DavidAU/electric-sheep-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/electric-sheep-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the ... | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #llama-cpp #gguf-my-repo #en #dataset-maldv/cyberpunk #dataset-microsoft/orca-math-word-problems-200k #dataset-Weyaxi/sci-datasets #dataset-maldv/conversation-cixot #base_model-maldv/winter-garden-7b-alpha #license-cc-by-nc-4.0 #endpoints_compa... | [
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"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #llama-cpp #gguf-my-repo #en #dataset-maldv/cyberpunk #dataset-microsoft/orca-math-word-problems-200k #dataset-Weyaxi/sci-datasets #dataset-maldv/conversation-cixot #base_model-maldv/winter-garden-7b-alpha #license-cc-by-nc-4.0 #endpoints_compa... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/uncensorie/chronob-1.4-lin-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/chronob-1.... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "uncensorie/chronob-1.4-lin-70b", "quantized_by": "mradermacher"} | mradermacher/chronob-1.4-lin-70b-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:uncensorie/chronob-1.4-lin-70b",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:54:51+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-uncensorie/chronob-1.4-lin-70b #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-uncensorie/chronob-1.4-lin-70b #license-llama2 #endpoints_compatible #region-us \n"
] | [
46
] | [
"TAGS\n#transformers #gguf #en #base_model-uncensorie/chronob-1.4-lin-70b #license-llama2 #endpoints_compatible #region-us \n"
] |
text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - Acopa/deep_fashion_ft_sdxl
These are LoRA adaption weights for stabilityai/sdxl-turbo. Th... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "stabilityai/sdxl-turbo", "inference": true} | Acopa/deep_fashion_ft_sdxl | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"diffusers-training",
"lora",
"base_model:stabilityai/sdxl-turbo",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-16T01:55:04+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #diffusers-training #lora #base_model-stabilityai/sdxl-turbo #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# LoRA text2image fine-tuning - Acopa/deep_fashion_ft_sdxl
These are LoRA adaption weights for stabilityai/sdxl-turbo. The weights were fine-tuned on the lirus18/deepfashion_with_captions dataset. You can find some example images in the following.
LoRA for the text encoder was enabled: None.
Special VAE used ... | [
"# LoRA text2image fine-tuning - Acopa/deep_fashion_ft_sdxl\n\nThese are LoRA adaption weights for stabilityai/sdxl-turbo. The weights were fine-tuned on the lirus18/deepfashion_with_captions dataset. You can find some example images in the following. \n\n\n\nLoRA for the text encoder was enabled: None.\n\nSpecial ... | [
"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #diffusers-training #lora #base_model-stabilityai/sdxl-turbo #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# LoRA text2image fine-tuning - Acopa/deep_fashion_ft_sdxl\n\... | [
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23,
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"TAGS\n#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #diffusers-training #lora #base_model-stabilityai/sdxl-turbo #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n# LoRA text2image fine-tuning - Acopa/deep_fashion_ft_sdxl\n\nThese... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/KaeriJenti/kaori-34b-v4
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/kaori-34b-v4-GGUF... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "KaeriJenti/kaori-34b-v4", "quantized_by": "mradermacher"} | mradermacher/kaori-34b-v4-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:KaeriJenti/kaori-34b-v4",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T01:55:21+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-KaeriJenti/kaori-34b-v4 #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-KaeriJenti/kaori-34b-v4 #license-llama2 #endpoints_compatible #region-us \n"
] | [
42
] | [
"TAGS\n#transformers #gguf #en #base_model-KaeriJenti/kaori-34b-v4 #license-llama2 #endpoints_compatible #region-us \n"
] |
text-generation | null |
# DavidAU/eleusis-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from [`maldv/eleusis-7b-alpha`](https://huggingface.co/maldv/eleusis-7b-alpha) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface... | {"license": "cc-by-nc-4.0", "tags": ["merge", "conversational", "multi-task", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/eleusis-7b-alpha-Q6_K-GGUF | null | [
"gguf",
"merge",
"conversational",
"multi-task",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-16T01:55:49+00:00 | [] | [] | TAGS
#gguf #merge #conversational #multi-task #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #region-us
|
# DavidAU/eleusis-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from 'maldv/eleusis-7b-alpha' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note:... | [
"# DavidAU/eleusis-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/eleusis-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n... | [
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"# DavidAU/eleusis-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/eleusis-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card... | [
49,
77,
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"TAGS\n#gguf #merge #conversational #multi-task #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #region-us \n# DavidAU/eleusis-7b-alpha-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/eleusis-7b-alpha' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for m... |
text-generation | null |
# DavidAU/winter-garden-7b-beta-Q6_K-GGUF
This model was converted to GGUF format from [`maldv/winter-garden-7b-beta`](https://huggingface.co/maldv/winter-garden-7b-beta) 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": "cc-by-nc-4.0", "tags": ["merge", "conversational", "multi-task", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/winter-garden-7b-beta-Q6_K-GGUF | null | [
"gguf",
"merge",
"conversational",
"multi-task",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-16T01:57:01+00:00 | [] | [] | TAGS
#gguf #merge #conversational #multi-task #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #region-us
|
# DavidAU/winter-garden-7b-beta-Q6_K-GGUF
This model was converted to GGUF format from 'maldv/winter-garden-7b-beta' 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/winter-garden-7b-beta-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/winter-garden-7b-beta' 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.... | [
"TAGS\n#gguf #merge #conversational #multi-task #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #region-us \n",
"# DavidAU/winter-garden-7b-beta-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/winter-garden-7b-beta' using URL via the URL's GGUF-my-repo space.\nRefer to the original ... | [
49,
77,
52
] | [
"TAGS\n#gguf #merge #conversational #multi-task #llama-cpp #gguf-my-repo #text-generation #license-cc-by-nc-4.0 #region-us \n# DavidAU/winter-garden-7b-beta-Q6_K-GGUF\nThis model was converted to GGUF format from 'maldv/winter-garden-7b-beta' using URL via the URL's GGUF-my-repo space.\nRefer to the original model ... |
text-generation | null |
# DavidAU/winter-garden-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from [`maldv/winter-garden-7b-alpha`](https://huggingface.co/maldv/winter-garden-7b-alpha) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"license": "cc-by-nc-4.0", "tags": ["merge", "conversational", "multi-task", "llama-cpp", "gguf-my-repo"], "base_model": ["paulml/OmniBeagleSquaredMBX-v3-7B", "ZySec-AI/ZySec-7B-v1", "liminerity/Omningotex-7b-slerp", "localfultonextractor/Erosumika-7B", "KatyTheCutie/LemonadeRP-4.5.3", "cgato/Thespis-Krangled-7b", "Co... | DavidAU/winter-garden-7b-alpha-Q6_K-GGUF | null | [
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"base_model:paulml/OmniBeagleSquaredMBX-v3-7B",
"base_model:ZySec-AI/ZySec-7B-v1",
"base_model:liminerity/Omningotex-7b-slerp",
"base_model:localfultonextractor/Erosumika-7B",
"base_model:KatyTheCu... | null | 2024-04-16T01:58:14+00:00 | [] | [] | TAGS
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# DavidAU/winter-garden-7b-alpha-Q6_K-GGUF
This model was converted to GGUF format from 'maldv/winter-garden-7b-alpha' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serv... | [
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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": []} | Julesb5/gemma-2b-it-med1 | null | [
"transformers",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K4me1-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_8192_512_17M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_8192\_512\_17M-L32\_all
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5397
* F1 Sc... | [
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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. -->
# GUE_EMP_H3K36me3-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_8192_512_17M-L32_all | null | [
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"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_8192\_512\_17M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5172
* F1... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "REINFORCE-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | Rudolph314/REINFORCE-Pixelcopter-PLE-v0 | null | [
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"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
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#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AwesomeREK/concept-extraction-xlnet-early-stopping | null | [
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"xlnet",
"token-classification",
"arxiv:1910.09700",
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"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #xlnet #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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_gamma999_v1 | null | [
"stable-baselines3",
"ALE/Pacman-v5",
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] | null | 2024-04-16T02:05:56+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... | [
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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": []} | kanxxyc/llama_B_wikija_global_step40 | null | [
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"llama",
"text-generation",
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"region:us"
] | null | 2024-04-16T02:06:57+00:00 | [
"1910.09700"
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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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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_0-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_mouse_0-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_8192_512_17M-L32_all | null | [
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"generated_from_trainer",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_mouse\_0-seqsight\_8192\_512\_17M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1244
* F1 Score: 0.7210
... | [
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null | transformers |
## install
```
pip install torch numpy transformers datasets tiktoken wandb tqdm
```
Dependencies:
- [pytorch](https://pytorch.org) <3
- [numpy](https://numpy.org/install/) <3
- `transformers` for huggingface transformers <3 (to load GPT-2 checkpoints)
- `datasets` for huggingface datasets <3 (if you want to down... | {} | vincentoh/gpt2-124m-redpjs | null | [
"transformers",
"pytorch",
"gpt2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T02:08:40+00:00 | [] | [] | TAGS
#transformers #pytorch #gpt2 #endpoints_compatible #text-generation-inference #region-us
|
## install
Dependencies:
- pytorch <3
- numpy <3
- 'transformers' for huggingface transformers <3 (to load GPT-2 checkpoints)
- 'datasets' for huggingface datasets <3 (if you want to download + preprocess OpenWebText)
- 'tiktoken' for OpenAI's fast BPE code <3
- 'wandb' for optional logging <3
- 'tqdm' for pr... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small for Quran Recognition
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/w... | {"language": ["ara"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["AsemBadr/GP"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small for Quran Recognition", "results": []}]} | AsemBadr/the-final-whisper | null | [
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|
# Whisper Small for Quran Recognition
This model is a fine-tuned version of openai/whisper-small on the Quran_Reciters dataset.
It achieves the following results on the evaluation set:
- epoch: 1.6474
- eval_loss: 0.0829
- eval_runtime: 2832.7593
- eval_samples_per_second: 1.428
- eval_steps_per_second: 0.179
- eva... | [
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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. -->
# ruBert-base-sberquad-0.005-len_2-filtered-negative-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://hug... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-len_2-filtered-negative-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-len_2-filtered-negative-v2 | null | [
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|
# ruBert-base-sberquad-0.005-len_2-filtered-negative-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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null | transformers |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | codesagar/prompt-guard-classification-v1 | null | [
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|
# Uploaded model
- Developed by: codesagar
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/CultriX/MonaCeption-7B-SLERP-DPO
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "library_name": "transformers", "base_model": "CultriX/MonaCeption-7B-SLERP-DPO", "quantized_by": "mradermacher"} | mradermacher/MonaCeption-7B-SLERP-DPO-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 |
This model achieved 0.7600 AUROC for the [Online Safety Prize Challenge](https://ospc.aisingapore.org/) organized by AI Singapore. It is fine-tuned from [Openchat model](https://huggingface.co/openchat/openchat-3.5-0106). Note, this model is already quantized to 4-bit GPTQ.
## Training details
This model is trained o... | {"language": ["en", "zh", "ms", "ta"], "license": "apache-2.0", "tags": ["multilingual", "mistral", "sft", "chat", "instruction", "gptq"], "datasets": ["billcai/ospc-dataset-v2"], "widget": [{"text": "Hello World", "example_title": "Sample prompt"}], "base_model": "openchat/openchat-3.5-0106"} | goldbach7/openchat-model-ospc | null | [
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|
This model achieved 0.7600 AUROC for the Online Safety Prize Challenge organized by AI Singapore. It is fine-tuned from Openchat model. Note, this model is already quantized to 4-bit GPTQ.
## Training details
This model is trained on a synthetic dataset generated by Apache 2.0 licensed LLMs (Mistral and Mixtral).
##... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/HachiML/Swallow-MS-7b-v0.1-ChatSkill-Wizard
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If ... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "HachiML/Swallow-MS-7b-v0.1-ChatSkill-Wizard", "quantized_by": "mradermacher"} | mradermacher/Swallow-MS-7b-v0.1-ChatSkill-Wizard-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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fill-mask | 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. -->
# distilroberta_base_0414_github_cybersecurity_READMEs
This model is a fine-tuned version of [distilroberta-base](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta_base_0414_github_cybersecurity_READMEs", "results": []}]} | zhijunjunlin/distilroberta_base_0414_github_cybersecurity_READMEs | null | [
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| distilroberta\_base\_0414\_github\_cybersecurity\_READMEs
=========================================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4829
* Accuracy: 0.5630
* F1 Score: 0.2677
Model de... | [
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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": "Viet-Mistral/Vistral-7B-Chat"} | chitb/LaVy-instruct | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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depth-estimation | transformers |
# natural_science_model
natural_science_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased)
* [KM4STfulltext/SSCI-SciBERT-e4](https:... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "google-bert/bert-base-uncased", "KM4STfulltext/SSCI-SciBERT-e4"], "base_model": ["google-bert/bert-base-uncased", "KM4STfulltext/SSCI-SciBERT-e4"], "pipeline_tag": "depth-estimation"} | nagayama0706/natural_science_model | null | [
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# natural_science_model
natural_science_model is a merge of the following models using LazyMergekit:
* google-bert/bert-base-uncased
* KM4STfulltext/SSCI-SciBERT-e4
## Configuration
## Usage
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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. -->
# my_awesome_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased)... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | lxl2023/my_awesome_model | null | [
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|
# my_awesome_model
This model is a fine-tuned version of distilbert-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 hyperparamete... | [
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AwesomeREK/concept-extraction-xlnet | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Training
```
deepspeed --include=node-0:2 sft_fix_target_modules.py --deepspeed dp_zero0.json \
--model_name_or_path="meta-llama/Llama-2-7b-chat-hf" \
--dataset_name="timdettmers/openassistant-guanaco" \
--dataset_text_field="text" \
--report_to="tensorboard" \
--learning_rate=1e-5 \
--per_d... | {"license": "apache-2.0", "library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | tricktreat/Llama-2-7b-chat-hf-guanaco-lora | null | [
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#peft #tensorboard #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #license-apache-2.0 #region-us
|
# Training
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## Model Details
### Model Description
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- Repository:
- Paper [optional]:
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null | transformers |
# Uploaded model
- **Developed by:** eruzak
- **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/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | eruzak/unsloth_mistral_predict_prompt_RL_v8 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** eruzak
- **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/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | eruzak/unsloth_mistral_predict_prompt_RL_v9 | null | [
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# Uploaded model
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null | peft |
# Training
```
deepspeed --include=node-0:3 --master_port=12001 sft_prompt_tuning.py --deepspeed dp_zero0.json \
--model_name_or_path="meta-llama/Llama-2-7b-chat-hf" \
--dataset_name="timdettmers/openassistant-guanaco" \
--dataset_text_field="text" \
--report_to="tensorboard" \
--learning_rate=1e... | {"license": "apache-2.0", "library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | tricktreat/Llama-2-7b-chat-hf-guanaco-prompttuning | null | [
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#peft #tensorboard #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #license-apache-2.0 #region-us
|
# Training
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["en"], "library_name": "transformers"} | AbhijitShejal/my_bert_model | 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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- Shared by [optional]:
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... | [
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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. -->
# GUE_mouse_1-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_mouse_1-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_8192_512_17M-L32_all | null | [
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| GUE\_mouse\_1-seqsight\_8192\_512\_17M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2373
* F1 Score: 0.8958
... | [
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text-generation | transformers |
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/microsoft/wizardlm-2-661d403f71e6c8257dbd598a" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/v... | {"license": "apache-2.0"} | alpindale/WizardLM-2-8x22B | null | [
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"region:us"
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|
<p style="font-size:20px;" align="center">
<a href="URL target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
<a href="URL target="_blank">HF Repo</a> • <a href="URL target="_blank">Github Repo</a> • <a href="URL target="_blank">Twitter</a> • <a href="URL target="_blank">[WizardLM]</a> • <a hre... | [
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robotics | transformers |
# administrative_processing_model
administrative_processing_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased)
* [sentence-transfor... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "google-bert/bert-base-uncased", "sentence-transformers/stsb-xlm-r-multilingual"], "base_model": ["google-bert/bert-base-uncased", "sentence-transformers/stsb-xlm-r-multilingual"], "pipeline_tag": "robotics"} | nagayama0706/administrative_processing_model | null | [
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"base_model:sentence-transformers/stsb-xlm-r-multilingual"... | null | 2024-04-16T02:38:39+00:00 | [] | [] | TAGS
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# administrative_processing_model
administrative_processing_model is a merge of the following models using LazyMergekit:
* google-bert/bert-base-uncased
* sentence-transformers/stsb-xlm-r-multilingual
## Configuration
## Usage
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null | adapter-transformers |
## Hyperparameter
```bash
deepspeed --include=node-0:2 sft_fix_target_modules.py --deepspeed dp_zero0.json \
--model_name_or_path="guanaco_Llama-2-7b-chat-hf_freeze_embed_tokens_q_v_proj" \
--dataset_name="timdettmers/openassistant-guanaco" \
--dataset_text_field="text" \
--report_to="tensorboard" \
... | {"license": "apache-2.0", "library_name": "adapter-transformers", "datasets": ["timdettmers/openassistant-guanaco"]} | tricktreat/Llama-2-7b-chat-hf-guanaco-freeze-embed-tokens-q-v-proj | null | [
"adapter-transformers",
"tensorboard",
"safetensors",
"llama",
"dataset:timdettmers/openassistant-guanaco",
"arxiv:1910.09700",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T02:40:08+00:00 | [
"1910.09700"
] | [] | TAGS
#adapter-transformers #tensorboard #safetensors #llama #dataset-timdettmers/openassistant-guanaco #arxiv-1910.09700 #license-apache-2.0 #region-us
|
## Hyperparameter
## Dataset
'timdettmers/openassistant-guanaco'
# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- ... | [
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text-generation | transformers | <img src="https://cdn-uploads.huggingface.co/production/uploads/5df9c78eda6d0311fd3d541f/CmusIT5OlSXvFrbTJ7l-C.png" alt="Taiwan LLM Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# 🌟 Checkout [Taiwan-LLM Demo Chat-UI](http://www.twllm.com) 🌟
# Model Card for Taiwan LLM 7B v2.0.1 ... | {"language": ["zh"], "license": "apache-2.0", "library_name": "transformers", "widget": [{"text": "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: \u4f60\u597d\uff0c\u8acb\u554f\u4f60\u53ef\u4ee5\u5e6b\u6211... | ZoneTwelve/Taiwan-LLM-7B-v2.0.1-chat-GGUF | null | [
"transformers",
"gguf",
"text-generation",
"zh",
"arxiv:2311.17487",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"2311.17487"
] | [
"zh"
] | TAGS
#transformers #gguf #text-generation #zh #arxiv-2311.17487 #license-apache-2.0 #endpoints_compatible #region-us
| <img src="URL alt="Taiwan LLM Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Checkout Taiwan-LLM Demo Chat-UI
# Model Card for Taiwan LLM 7B v2.0.1 chat
Taiwan LLM is an advanced language model tailored for Traditional Chinese, focusing on the linguistic and cultural contexts ... | [
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null | peft |
# Training
```
deepspeed --include=node-0:2 sft_fix_target_modules.py --deepspeed dp_zero0.json \
--model_name_or_path="guanaco_Llama-2-7b-chat-hf_freeze_embed_tokens_q_v_proj" \
--dataset_name="timdettmers/openassistant-guanaco" \
--dataset_text_field="text" \
--report_to="tensorboard" \
--learni... | {"license": "apache-2.0", "library_name": "peft", "base_model": "tricktreat/Llama-2-7b-chat-hf-guanaco-freeze-embed-tokens-q-v-proj"} | tricktreat/Llama-2-7b-chat-hf-guanaco-freeze-embed-tokens-q-v-proj-lora | null | [
"peft",
"tensorboard",
"safetensors",
"arxiv:1910.09700",
"base_model:tricktreat/Llama-2-7b-chat-hf-guanaco-freeze-embed-tokens-q-v-proj",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T02:41:12+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #tensorboard #safetensors #arxiv-1910.09700 #base_model-tricktreat/Llama-2-7b-chat-hf-guanaco-freeze-embed-tokens-q-v-proj #license-apache-2.0 #region-us
|
# Training
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [... | [
"# Training",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \... | [
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null | peft |
# Training
```
deepspeed --include=node-0:3 --master_port=12001 sft_prompt_tuning.py --deepspeed dp_zero0.json \
--model_name_or_path="guanaco_Llama-2-7b-chat-hf_freeze_embed_tokens_q_v_proj" \
--dataset_name="timdettmers/openassistant-guanaco" \
--dataset_text_field="text" \
--report_to="tensorboard"... | {"license": "apache-2.0", "library_name": "peft", "base_model": "tricktreat/Llama-2-7b-chat-hf-guanaco-freeze-embed-tokens-q-v-proj"} | tricktreat/Llama-2-7b-chat-hf-guanaco-freeze-embed-tokens-q-v-proj-prompttuning | null | [
"peft",
"tensorboard",
"safetensors",
"arxiv:1910.09700",
"base_model:tricktreat/Llama-2-7b-chat-hf-guanaco-freeze-embed-tokens-q-v-proj",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T02:42:08+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #tensorboard #safetensors #arxiv-1910.09700 #base_model-tricktreat/Llama-2-7b-chat-hf-guanaco-freeze-embed-tokens-q-v-proj #license-apache-2.0 #region-us
|
# Training
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [... | [
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"# Model Card for Model ID",
"## Model Details",
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text-generation | transformers |
# amazingvince/Not-WizardLM-2-7B
<a href="https://colab.research.google.com/gist/pszemraj/d3d74ceab942722b49188606785e2bfd/not-wizardlm-2-7b-inference.ipynb">
<img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
</a>
Included is code ripped from fastchat with the expected chat ... | {"license": "apache-2.0"} | amazingvince/Not-WizardLM-2-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T02:43:07+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# amazingvince/Not-WizardLM-2-7B
<a href="URL
<img src="URL alt="Open In Colab"/>
</a>
Included is code ripped from fastchat with the expected chat templating.
Also URL is a pdf of the github blog showing the apache 2 release.
Link to wayback machine included: URL/URL
## example
| [
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null | null |
# Classifiers Enhanced by Pre-training
This project utilizes a visual encoder from the pre-trained CLIP (ViT-B/32) to build image classifiers. To use the trained models, follow the steps below to set up and run the classifiers.
## Prerequisites
Before you start, make sure you have Python and the necessary libraries... | {"license": "mit"} | RyukiRi/Classifiers-Enhanced-by-Pre-training | null | [
"license:mit",
"region:us"
] | null | 2024-04-16T02:44:00+00:00 | [] | [] | TAGS
#license-mit #region-us
|
# Classifiers Enhanced by Pre-training
This project utilizes a visual encoder from the pre-trained CLIP (ViT-B/32) to build image classifiers. To use the trained models, follow the steps below to set up and run the classifiers.
## Prerequisites
Before you start, make sure you have Python and the necessary libraries... | [
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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... | wgouyang/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-16T02:44:40+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
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": []} | abhayesian/BobzillaV24 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T02:45:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# WizardLM-2-8x22B - EXL2 3.0bpw
This is a 3.0bpw EXL2 quant of [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "base_model": "microsoft/WizardLM-2-8x22B"} | Dracones/WizardLM-2-8x22B_exl2_3.0bpw | null | [
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"autotrain_compatible",
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"3-bit",
"region:us"
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| WizardLM-2-8x22B - EXL2 3.0bpw
==============================
This is a 3.0bpw EXL2 quant of microsoft/WizardLM-2-8x22B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work o... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper small nepali - Rikesh Silwal
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/... | {"language": ["ne"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["openslr/slr43"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper small nepali - Rikesh Silwal", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Spe... | RikeshSilwal/whisper-small-hi-transfer-ne | null | [
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| Whisper small nepali - Rikesh Silwal
====================================
This model is a fine-tuned version of openai/whisper-small on the slr43 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3583
* Wer: 33.7199
Model description
-----------------
More information needed
Intended... | [
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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. -->
# ruBert-base-sberquad-0.005-len_3-filtered-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-len_3-filtered-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-len_3-filtered-v2 | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.005-len_3-filtered-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Vissa15AI/fine_tuned_10012023 | null | [
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"1910.09700"
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#transformers #safetensors #bert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
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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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visual-question-answering | transformers |
# multimodal_model
multimodal_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [CIDAS/clipseg-rd64-refined](https://huggingface.co/CIDAS/clipseg-rd64-refined)
* [dalle-mini/dalle-mini](https://huggingface.co/dalle-m... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "CIDAS/clipseg-rd64-refined", "dalle-mini/dalle-mini"], "base_model": ["CIDAS/clipseg-rd64-refined", "dalle-mini/dalle-mini"], "pipeline_tag": "visual-question-answering"} | nagayama0706/multimodal_model | null | [
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"autotrai... | null | 2024-04-16T02:51:09+00:00 | [] | [] | TAGS
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# multimodal_model
multimodal_model is a merge of the following models using LazyMergekit:
* CIDAS/clipseg-rd64-refined
* dalle-mini/dalle-mini
## Configuration
## Usage
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text-generation | transformers |
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/microsoft/wizardlm-2-661d403f71e6c8257dbd598a" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/... | {"license": "apache-2.0"} | lucyknada/microsoft_WizardLM-2-7B | null | [
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|
<p style="font-size:20px;" align="center">
<a href="URL target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
<a href="URL target="_blank">HF Repo</a> • <a href="URL target="_blank">Github Repo</a> • <a href="URL target="_blank">Twitter</a> • <a href="URL target="_blank">[WizardLM]</a> • <a hr... | [
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text-generation | transformers | This is a reupload of the fp16 safetensors that were taken down by microsoft of WizardLM-2-7b
Original Model card is bellow:
_____________________________________________________________________
license: apache-2.0
---
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" tar... | {"license": "apache-2.0"} | Replete-AI/WizardLM-2-7b | null | [
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| This is a reupload of the fp16 safetensors that were taken down by microsoft of WizardLM-2-7b
Original Model card is bellow:
_____________________________________________________________________
license: apache-2.0
---
<p style="font-size:20px;" align="center">
<a href="URL target="_blank">WizardLM-2 Release Blog... | [
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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. -->
# GUE_mouse_4-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_mouse_4-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_8192_512_17M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_mouse\_4-seqsight\_8192\_512\_17M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6371
* F1 Score: 0.6765
... | [
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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": []} | OwOOwO/dumbo-krillin9 | null | [
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|
# Model Card for Model ID
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text-to-image | transformers |
# image_generation_model
image_generation_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [sentence-transformers/clip-ViT-B-32-multilingual-v1](https://huggingface.co/sentence-transformers/clip-ViT-B-32-multilingua... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "sentence-transformers/clip-ViT-B-32-multilingual-v1", "dalle-mini/dalle-mini"], "base_model": ["sentence-transformers/clip-ViT-B-32-multilingual-v1", "dalle-mini/dalle-mini"], "pipeline_tag": "text-to-image"} | nagayama0706/image_generation_model | null | [
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"base_model:dalle-mini/dalle-mini... | null | 2024-04-16T03:00:57+00:00 | [] | [] | TAGS
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# image_generation_model
image_generation_model is a merge of the following models using LazyMergekit:
* sentence-transformers/clip-ViT-B-32-multilingual-v1
* dalle-mini/dalle-mini
## Configuration
## Usage
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AwesomeREK/concept-extraction-xlnet-early-stopping-p2p-self-trained | null | [
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text-generation | transformers |
# Mixtral-8x7B-v0.1-japanese
Mixtral-8x7B-v0.1-japaneseは[Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1)をベースに日本語の語彙拡張継続事前学習を実施したモデルです。
詳細は[ABEJAのテックブログ](https://tech-blog.abeja.asia/entry/abeja-nedo-project-part1-202404)を参照してください。
学習を実施したMetagton-LMのレポジトリは[こちら](https://github.com/abeja-inc/... | {"language": ["ja"], "license": "apache-2.0", "widget": [{"text": "\u4eba\u3068AI\u304c\u5354\u8abf\u3059\u308b\u305f\u3081\u306b\u306f\u3001"}]} | abeja/Mixtral-8x7B-v0.1-japanese | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T03:06:14+00:00 | [] | [
"ja"
] | TAGS
#transformers #safetensors #mixtral #text-generation #ja #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Mixtral-8x7B-v0.1-japanese
Mixtral-8x7B-v0.1-japaneseはMixtral-8x7B-v0.1をベースに日本語の語彙拡張継続事前学習を実施したモデルです。
詳細はABEJAのテックブログを参照してください。
学習を実施したMetagton-LMのレポジトリはこちらです。
# 使い方
# 開発者
- Keisuke Fujimoto
- Kentaro Nakanishi
- Kyo Hattori
- Shinya Otani
- Shogo Muranushi
(*)アルファベット順
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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": []} | arthurLi920/my_diffusion.dream_booth_unet | null | [
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"1910.09700"
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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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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# pijarcandra22/NMTBaliIndoT5
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
I... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "t5-small", "model-index": [{"name": "pijarcandra22/NMTBaliIndoT5", "results": []}]} | pijarcandra22/NMTBaliIndoT5 | null | [
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| pijarcandra22/NMTBaliIndoT5
===========================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0455
* Validation Loss: 2.2245
* Epoch: 499
Model description
-----------------
More information needed
Intende... | [
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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": []} | JinbiaoZhu/gemma-2b-robotplanning-v2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_3-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_mouse_3-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_8192_512_17M-L32_all | null | [
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| GUE\_mouse\_3-seqsight\_8192\_512\_17M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1631
* F1 Score: 0.8742
... | [
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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. -->
# dialogsum_6593_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "dialogsum_6593_bart-base", "results": []}]} | baek26/bart-dialogsum | null | [
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] | null | 2024-04-16T03:12:22+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| dialogsum\_6593\_bart-base
==========================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3997
* Rouge1: 0.4226
* Rouge2: 0.2139
* Rougel: 0.3698
* Rougelsum: 0.37
* Gen Len: 19.86
Model description
----... | [
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null | transformers | # Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed... | {"library_name": "transformers", "tags": ["mergekit", "peft"], "base_model": []} | thomasgauthier/OpenHermes-2.5-Mistral-7B-LoRA-extraction-r8 | null | [
"transformers",
"safetensors",
"mergekit",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-16T03:12:23+00:00 | [] | [] | TAGS
#transformers #safetensors #mergekit #peft #endpoints_compatible #region-us
| # Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using mergekit.
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed_out-ChatML-base/ as a base.
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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. -->
# model_hh_shp2_dpo5
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp2_dpo5", "results": []}]} | guoyu-zhang/model_hh_shp2_dpo5 | null | [
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"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-16T03:12:32+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_hh\_shp2\_dpo5
=====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6851
* Rewards/chosen: -2.9461
* Rewards/rejected: -3.5981
* Rewards/accuracies: 0.5100
* Rewards/margins: 0.6520
... | [
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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. -->
# billsum_7999_bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "billsum_7999_bart-base", "results": []}]} | baek26/bart-billsum | null | [
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"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/bart-base",
"license:apache-2.0",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-16T03:12:33+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| billsum\_7999\_bart-base
========================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4857
* Rouge1: 0.1511
* Rouge2: 0.0596
* Rougel: 0.1229
* Rougelsum: 0.1301
* Gen Len: 20.0
Model description
-------... | [
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null | transformers | # Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed... | {"library_name": "transformers", "tags": ["mergekit", "peft"], "base_model": []} | thomasgauthier/OpenHermes-2.5-Mistral-7B-LoRA-extraction-r16 | null | [
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| # Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using mergekit.
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed_out-ChatML-base/ as a base.
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null | transformers | # Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed... | {"library_name": "transformers", "tags": ["mergekit", "peft"], "base_model": []} | thomasgauthier/OpenHermes-2.5-Mistral-7B-LoRA-extraction-r32 | null | [
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This is a LoRA extracted from a language model. It was extracted using mergekit.
## LoRA Details
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null | transformers | # Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed... | {"library_name": "transformers", "tags": ["mergekit", "peft"], "base_model": []} | thomasgauthier/OpenHermes-2.5-Mistral-7B-LoRA-extraction-r64 | null | [
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| # Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using mergekit.
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed_out-ChatML-base/ as a base.
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null | transformers | # Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed... | {"library_name": "transformers", "tags": ["mergekit", "peft"], "base_model": []} | thomasgauthier/OpenHermes-2.5-Mistral-7B-LoRA-extraction-r128 | null | [
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| # Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using mergekit.
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed_out-ChatML-base/ as a base.
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text-generation | transformers |
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text-generation | transformers |
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null | transformers | # Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed... | {"library_name": "transformers", "tags": ["mergekit", "peft"], "base_model": []} | thomasgauthier/OpenHermes-2.5-Mistral-7B-LoRA-extraction-r256 | null | [
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This is a LoRA extracted from a language model. It was extracted using mergekit.
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed_out-ChatML-base/ as a base.
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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. -->
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null | transformers | # Untitled LoRA Model (1)
This is a LoRA extracted from a language model. It was extracted using [mergekit](https://github.com/arcee-ai/mergekit).
## LoRA Details
This LoRA adapter was extracted from /workspace/models/teknium_OpenHermes-2.5-Mistral-7B/ and uses /workspace/models/thomasgauthier_Mistral-7B-v0.1-zeroed... | {"library_name": "transformers", "tags": ["mergekit", "peft"], "base_model": []} | thomasgauthier/OpenHermes-2.5-Mistral-7B-LoRA-extraction-r512 | null | [
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This is a LoRA extracted from a language model. It was extracted using mergekit.
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translation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Gopal-finetuned-custom-en-to-it
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-it](https://huggingface.co/Helsin... | {"license": "apache-2.0", "tags": ["translation", "generated_from_trainer"], "base_model": "Helsinki-NLP/opus-mt-en-it", "model-index": [{"name": "Gopal-finetuned-custom-en-to-it", "results": []}]} | Gopal1853/Gopal-finetuned-custom-en-to-it | null | [
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# Gopal-finetuned-custom-en-to-it
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-it on an unknown dataset.
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More information needed
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Textual inversion text2image fine-tuning - nemod/textual_inversion_cat_toy_paper
These are textual inversion adaption we... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"]... | nemod/textual_inversion_cat_toy_paper | null | [
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"textual_inversion",
"diffusers-training",
"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
... | null | 2024-04-16T03:21:27+00:00 | [] | [] | TAGS
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|
# Textual inversion text2image fine-tuning - nemod/textual_inversion_cat_toy_paper
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide exa... | [
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"## Intended uses & limitations",
"#### How to use",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/email_STEP0000006 | null | [
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # Aura v2
The second version of the Aura line is a direct improvement over the original. Expect poetic and eloquent outputs with real emotion behind them.
I recommend keeping the temperature around ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": ["ResplendentAI/Paradigm_7B", "jeiku/Theory_of_Mind_Mistral", "ResplendentAI/Paradigm_7B", "jeiku/selfbot_256_mistral", "ResplendentAI/Paradigm_7B", "jeiku/Gnosis_Reformatted_Mistral", "ResplendentAI/Paradigm_7B"], "model-index"... | ResplendentAI/Aura_v2_7B | null | [
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| Aura v2
=======
!image/png
The second version of the Aura line is a direct improvement over the original. Expect poetic and eloquent outputs with real emotion behind them.
I recommend keeping the temperature around 1.5 or lower with a Min P value of 0.05. This model can get carried away with prose at higher tempe... | [] | [
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] |
text-generation | transformers |
# Description
[alexlangshur/WizardLM-2-7B-AWQ](https://huggingface.co/alexlangshur/WizardLM-2-7B-AWQ) is a version of [microsoft/WizardLM-2-7B](https://huggingface.co/microsoft/WizardLM-2-7B) that has been quantized with 4-bit AWQ.
## Setup
### Installation
```
pip install -U accelerate autoawq transformers
```
#... | {"language": ["en"], "license": "apache-2.0", "tags": ["finetuned", "quantized", "4-bit", "AWQ", "transformers", "safetensors", "mistral", "text-generation", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "region:us"], "model_name": "WizardLM-2-7B-AWQ", "base_model": ... | alexlangshur/WizardLM-2-7B-AWQ | null | [
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|
# Description
alexlangshur/WizardLM-2-7B-AWQ is a version of microsoft/WizardLM-2-7B that has been quantized with 4-bit AWQ.
## Setup
### Installation
### Inference
Below is the Python code to perform local inference on the AWQ model. Note that you must have a GPU available on your machine for this to work.
... | [
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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. -->
# ruBert-base-sberquad-0.005-len_3-filtered-negative-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://hug... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-len_3-filtered-negative-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-len_3-filtered-negative-v2 | null | [
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"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.005-len_3-filtered-negative-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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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. -->
# GUE_mouse_2-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_mouse_2-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_8192_512_17M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_mouse\_2-seqsight\_8192\_512\_17M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8386
* F1 Score: 0.8597
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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": []} | weqweasdas/raft_baseline_zephyr_packing_model6_1_4_e6 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_splice_reconstructed-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_8192_512_17M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_splice\_reconstructed-seqsight\_8192\_512\_17M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation se... | [
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text-to-image | diffusers |
## Dark-Sushi-Mix-2.25D
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipel... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Dark-Sushi-Mix-2.25D | null | [
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"region:us"
] | null | 2024-04-16T03:29:46+00:00 | [] | [] | TAGS
#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| Dark-Sushi-Mix-2.25D
--------------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL.... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
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image-to-image | BiRefNet |
This model has been pushed to the Hub using **BiRefNet**:
- Repo: https://github.com/ZhengPeng7/BiRefNet
- Docs: [More Information Needed] | {"library_name": "BiRefNet", "tags": ["image-to-image", "pytorch_model_hub_mixin", "model_hub_mixin"], "repo_url": "https://github.com/ZhengPeng7/BiRefNet"} | not-lain/BiRefNet | null | [
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#BiRefNet #safetensors #image-to-image #pytorch_model_hub_mixin #model_hub_mixin #region-us
|
This model has been pushed to the Hub using BiRefNet:
- Repo: URL
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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. -->
# GUE_tf_0-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_tf_0-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_8192_512_17M-L32_all | null | [
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] | null | 2024-04-16T03:30:59+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_tf\_0-seqsight\_8192\_512\_17M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3708
* F1 Score: 0.8237
* Accurac... | [
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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. -->
# GUE_tf_1-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_tf_1-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_8192_512_17M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_tf\_1-seqsight\_8192\_512\_17M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4515
* F1 Score: 0.8087
* Accurac... | [
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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. -->
# tinyllama-sft-orca_chat-full
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https:/... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["ucla-cmllab/orca-chat_100k-chat-format"], "base_model": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T", "model-index": [{"name": "tinyllama-sft-orca_chat-full", ... | andrewbai/tinyllama-sft-orca_chat-full | null | [
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"license:apache-2.0",
... | null | 2024-04-16T03:31:37+00:00 | [] | [] | TAGS
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=============================
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T on the ucla-cmllab/orca-chat\_100k-chat-format dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9624
Model description
-----------------
... | [
"### 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: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 128\... | [
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text2text-generation | transformers |
# How To Use This Model
## Sahidic Example With No Confidence Score
```
from transformers import pipeline
pipe = pipeline(model="megalaa/coptic-english-translator", trust_remote_code=True)
output = pipe("ⲓⲏⲥⲟⲩⲥ ⲡⲉⲭⲣⲓⲥⲧⲟⲥ")
print(output)
# {'translation': 'Jesus Christ,'}
```
## Parameters
By default, this models ... | {"language": ["en", "cop"], "license": "agpl-3.0"} | megalaa/coptic-english-translator | null | [
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#transformers #safetensors #marian #text2text-generation #en #cop #license-agpl-3.0 #autotrain_compatible #endpoints_compatible #region-us
|
# How To Use This Model
## Sahidic Example With No Confidence Score
## Parameters
By default, this models translates from Sahidic Coptic to English.
Use 'from_bohairic=True' if you are translating from Bohairic Coptic to English.
Additionally, use 'output_confidence=True' if you want to output the model confide... | [
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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": []} | emozilla/llama-1.1b-init | null | [
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# Model Card for Model ID
## Model Details
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AwesomeREK/concept-extraction-xlnet-early-stopping-teacher-student-self-trained | null | [
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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. -->
# results
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-... | {"tags": ["generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "results", "results": []}]} | jfo150/llama-2-brainstems-chat | null | [
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|
# results
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf 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-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": []} | weqweasdas/raft_baseline_zephyr_packing_model6_1_4_e6_weight085 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ruBert-base-sberquad-0.005-len_3-filtered-negative
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggin... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-len_3-filtered-negative", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-len_3-filtered-negative | null | [
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|
# ruBert-base-sberquad-0.005-len_3-filtered-negative
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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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. -->
# bert-finetuned-chatGPT
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-finetuned-chatGPT", "results": []}]} | iaminhridoy/bert-finetuned-chatGPT-discourse | null | [
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| bert-finetuned-chatGPT
======================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3771
* Accuracy: 0.9001
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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"TAGS\n#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_ra... |
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. -->
# ClasificadorMotivoMora-Distilbert
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilb... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "ClasificadorMotivoMora-Distilbert", "results": []}]} | Arodrigo/ClasificadorMotivoMora-Distilbert | null | [
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"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T03:46:01+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| ClasificadorMotivoMora-Distilbert
=================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5702
* Accuracy: 0.8095
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning... | [
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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": []} | swj0419/email_STEP0000009 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T03:47:00+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
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null | transformers |
# DavidAU/PIPPA-Named-7B-Q6_K-GGUF
This model was converted to GGUF format from [`mpasila/PIPPA-Named-7B`](https://huggingface.co/mpasila/PIPPA-Named-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.c... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft", "llama-cpp", "gguf-my-repo"], "datasets": ["mpasila/PIPPA-ShareGPT-formatted-named", "KaraKaraWitch/PIPPA-ShareGPT-formatted"], "base_model": "unsloth/mistral-7b-v0.2-bnb-4bit"} | DavidAU/PIPPA-Named-7B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"sft",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:mpasila/PIPPA-ShareGPT-formatted-named",
"dataset:KaraKaraWitch/PIPPA-ShareGPT-formatted",
"base_model:unsloth/mistral-7b-v0.2-bnb-4bit",
"license:apache-2.0... | null | 2024-04-16T03:48:06+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #mistral #trl #sft #llama-cpp #gguf-my-repo #en #dataset-mpasila/PIPPA-ShareGPT-formatted-named #dataset-KaraKaraWitch/PIPPA-ShareGPT-formatted #base_model-unsloth/mistral-7b-v0.2-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# DavidAU/PIPPA-Named-7B-Q6_K-GGUF
This model was converted to GGUF format from 'mpasila/PIPPA-Named-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: Y... | [
"# DavidAU/PIPPA-Named-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'mpasila/PIPPA-Named-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n... | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #sft #llama-cpp #gguf-my-repo #en #dataset-mpasila/PIPPA-ShareGPT-formatted-named #dataset-KaraKaraWitch/PIPPA-ShareGPT-formatted #base_model-unsloth/mistral-7b-v0.2-bnb-4bit #license-apache-2.0 #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. -->
# GUE_tf_4-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_tf_4-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-16T03:48:16+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_tf\_4-seqsight\_8192\_512\_17M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5717
* F1 Score: 0.8480
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
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