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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": []} | Conradlynny/GemmaFTmajor | null | [
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"autotrain_compatible",
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"1910.09700"
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#transformers #safetensors #gemma #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 |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/b28tldk | null | [
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [openchat/openchat-3.5-0106](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["openchat/openchat-3.5-0106", "OpenBuddy/openbuddy-mistral2-7b-v20.3-32k"]} | Cran-May/SLIDE-v3_Preview6 | null | [
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"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:openchat/openchat-3.5-0106",
"base_model:OpenBuddy/openbuddy-mistral2-7b-v20.3-32k",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T07:46:52+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-openchat/openchat-3.5-0106 #base_model-OpenBuddy/openbuddy-mistral2-7b-v20.3-32k #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* openchat/openchat-3.5-0106
* OpenBuddy/openbuddy-mistral2-7b-v20.3-32k
### Confi... | [
"# 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* openchat/openchat-3.5-0106\n* OpenBuddy/openbuddy-mistra... | [
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null | transformers |
# Cran-May/SLIDE-v3_Preview5-Q4_K_M-GGUF
This model was converted to GGUF format from [`Cran-May/SLIDE-v3_Preview5`](https://huggingface.co/Cran-May/SLIDE-v3_Preview5) 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:/... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["Weyaxi/Seraph-openchat-3.5-1210-Slerp", "OpenBuddy/openbuddy-mistral2-7b-v20.3-32k"]} | Cran-May/SLIDE-v3_Preview5-Q4_K_M-GGUF | null | [
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"base_model:Weyaxi/Seraph-openchat-3.5-1210-Slerp",
"base_model:OpenBuddy/openbuddy-mistral2-7b-v20.3-32k",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T07:47:37+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-Weyaxi/Seraph-openchat-3.5-1210-Slerp #base_model-OpenBuddy/openbuddy-mistral2-7b-v20.3-32k #endpoints_compatible #region-us
|
# Cran-May/SLIDE-v3_Preview5-Q4_K_M-GGUF
This model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview5' 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:
... | [
"# Cran-May/SLIDE-v3_Preview5-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview5' 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... | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-Weyaxi/Seraph-openchat-3.5-1210-Slerp #base_model-OpenBuddy/openbuddy-mistral2-7b-v20.3-32k #endpoints_compatible #region-us \n",
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ayon128/without_folds_t5 | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T07:48:41+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | transformers |
# Cran-May/SLIDE-v3_Preview5-Q4_K_S-GGUF
This model was converted to GGUF format from [`Cran-May/SLIDE-v3_Preview5`](https://huggingface.co/Cran-May/SLIDE-v3_Preview5) 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:/... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["Weyaxi/Seraph-openchat-3.5-1210-Slerp", "OpenBuddy/openbuddy-mistral2-7b-v20.3-32k"]} | Cran-May/SLIDE-v3_Preview5-Q4_K_S-GGUF | null | [
"transformers",
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"mergekit",
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"base_model:OpenBuddy/openbuddy-mistral2-7b-v20.3-32k",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T07:49:22+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-Weyaxi/Seraph-openchat-3.5-1210-Slerp #base_model-OpenBuddy/openbuddy-mistral2-7b-v20.3-32k #endpoints_compatible #region-us
|
# Cran-May/SLIDE-v3_Preview5-Q4_K_S-GGUF
This model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview5' 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:
... | [
"# Cran-May/SLIDE-v3_Preview5-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview5' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n... | [
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"# Cran-May/SLIDE-v3_Preview5-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'Cran-May/SLIDE... | [
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null | transformers |
# Cran-May/SLIDE-v3_Preview6-Q4_K_M-GGUF
This model was converted to GGUF format from [`Cran-May/SLIDE-v3_Preview6`](https://huggingface.co/Cran-May/SLIDE-v3_Preview6) 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:/... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["openchat/openchat-3.5-0106", "OpenBuddy/openbuddy-mistral2-7b-v20.3-32k"]} | Cran-May/SLIDE-v3_Preview6-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:openchat/openchat-3.5-0106",
"base_model:OpenBuddy/openbuddy-mistral2-7b-v20.3-32k",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T07:52:36+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-openchat/openchat-3.5-0106 #base_model-OpenBuddy/openbuddy-mistral2-7b-v20.3-32k #endpoints_compatible #region-us
|
# Cran-May/SLIDE-v3_Preview6-Q4_K_M-GGUF
This model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview6' 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:
... | [
"# Cran-May/SLIDE-v3_Preview6-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview6' 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... | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-openchat/openchat-3.5-0106 #base_model-OpenBuddy/openbuddy-mistral2-7b-v20.3-32k #endpoints_compatible #region-us \n",
"# Cran-May/SLIDE-v3_Preview6-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview... | [
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null | transformers |
# Cran-May/SLIDE-v3_Preview6-Q4_K_S-GGUF
This model was converted to GGUF format from [`Cran-May/SLIDE-v3_Preview6`](https://huggingface.co/Cran-May/SLIDE-v3_Preview6) 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:/... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["openchat/openchat-3.5-0106", "OpenBuddy/openbuddy-mistral2-7b-v20.3-32k"]} | Cran-May/SLIDE-v3_Preview6-Q4_K_S-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:openchat/openchat-3.5-0106",
"base_model:OpenBuddy/openbuddy-mistral2-7b-v20.3-32k",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T07:54:18+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-openchat/openchat-3.5-0106 #base_model-OpenBuddy/openbuddy-mistral2-7b-v20.3-32k #endpoints_compatible #region-us
|
# Cran-May/SLIDE-v3_Preview6-Q4_K_S-GGUF
This model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview6' 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:
... | [
"# Cran-May/SLIDE-v3_Preview6-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview6' 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... | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-openchat/openchat-3.5-0106 #base_model-OpenBuddy/openbuddy-mistral2-7b-v20.3-32k #endpoints_compatible #region-us \n",
"# Cran-May/SLIDE-v3_Preview6-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'Cran-May/SLIDE-v3_Preview... | [
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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-base-uncased-finetuned-sql-classification-with_questionV2
This model is a fine-tuned version of [bert-base-uncased](https:/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-base-uncased-finetuned-sql-classification-with_questionV2", "results": []}]} | PatWang/bert-base-uncased-finetuned-sql-classification-with_questionV2 | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T07:54:58+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-base-uncased-finetuned-sql-classification-with\_questionV2
===============================================================
This model is a fine-tuned version of bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4672
* Accuracy: 0.9050
* F1: 0.9172
* Preci... | [
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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 FineTune Persian
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whispe... | {"language": ["fa"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_17"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small FineTune Persian", "results": [{"task": {"type": "automatic-speech-recognition", "name":... | ali9132/commonvoiceV17 | null | [
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| Whisper Small FineTune Persian
==============================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 17 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3613
* Wer: 37.1122
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers |
### Overview
Another experimental model, using mostly sythetic data generated by [airoboros](https://github.com/jondurbin/airoboros)
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model s... | {"license": "other", "datasets": ["jondurbin/airoboros-3.2", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "jondurbin/gutenberg-dpo-v0.1", "LDJnr/Capybara", "jondurbin/cinematika-v0.1", "glaiveai/glaive-function-calling-v2", "grimulkan/LimaRP-augmented", "piqa", "Vezora/Tested-22k-Python-Alpaca", "mattpscott/airoboros-sum... | blockblockblock/airoboros-34b-3.3-bpw6 | null | [
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"dataset:glaiveai/glaive-function-callin... | null | 2024-04-14T07:55:52+00:00 | [] | [] | TAGS
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### Overview
Another experimental model, using mostly sythetic data generated by airoboros
This fine-tune is on the updated yi-34b-200k, which is supposedly much better at longer contexts.
#### Highlights
This is using yi-34b-200k as the base model. While the base model supports 200k context size, this model was ... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/0-hero/Matter-0.2-7B-DPO
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["0-hero/Matter-0.2-alpha"], "base_model": "0-hero/Matter-0.2-7B-DPO", "quantized_by": "mradermacher"} | mradermacher/Matter-0.2-7B-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
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If you are unsure how to use GGUF file... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/openlynn/lynn-ko-11b-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences"], "base_model": "openlynn/lynn-ko-11b-v0.1", "quantized_by": "mradermacher"} | mradermacher/lynn-ko-11b-v0.1-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
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If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# Model Card for Model ID
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
MoM: Mixture of Mixture
This Model is a first test to combine [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1) architecture with 1.58 bits linear layers, mixture of attention head and mixtu... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moah", "mod"], "datasets": ["Locutusque/UltraTextbooks"]} | Ostixe360/MoMv2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
MoM: Mixture of Mixture
This Model is a first test to combine Jamba architecture with 1.58 bits linear layers, mixture of attention head and mixture of depth.
The goal is to developpe and test if this kind of architectures have not too much qualit... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
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static quants of https://huggingface.co/Joseph717171/ANIMA-Phi-Neptune-Mistral-10.7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If... | {"language": ["en"], "license": "artistic-2.0", "library_name": "transformers", "tags": ["mergekit", "merge", "chemistry", "biology", "climate", "science", "philosophy", "nature", "ecology", "biomimicry", "fauna", "flora"], "datasets": ["Severian/Biomimicry", "emrgnt-cmplxty/sciphi-textbooks-are-all-you-need", "fmars/w... | mradermacher/ANIMA-Phi-Neptune-Mistral-10.7B-GGUF | null | [
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-----
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 |
# mistral_2x7b_v0.1
mistral_2x7b_v0.1 is a Mixure of Experts (MoE) made with the following models using [mergekit-moe](https://github.com/arcee-ai/mergekit/blob/main/docs/moe.md):
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [nvidia/OpenMath-Mistral-7B-v0.1-hf](h... | {"license": "apache-2.0", "tags": ["mixture of experts", "moe", "merge", "mergekit", "mistralai/Mistral-7B-Instruct-v0.2", "nvidia/OpenMath-Mistral-7B-v0.1-hf"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2", "nvidia/OpenMath-Mistral-7B-v0.1-hf"]} | HachiML/mistral_2x7b_v0.1 | null | [
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# mistral_2x7b_v0.1
mistral_2x7b_v0.1 is a Mixure of Experts (MoE) made with the following models using mergekit-moe:
* mistralai/Mistral-7B-Instruct-v0.2
* nvidia/OpenMath-Mistral-7B-v0.1-hf
## Configuration
## Usage
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ResplendentAI/Aura_7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ResplendentAI/Aura_7B", "quantized_by": "mradermacher"} | mradermacher/Aura_7B-GGUF | null | [
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"en"
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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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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"} | NouRed/BioMed-Gemma-7b | null | [
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"endpoints_compatible",
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"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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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. -->
# bart-cnn-samsum-finetuned
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-l... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-cnn-samsum-finetuned", "results": []}]} | edg3/bart-cnn-samsum-finetuned | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-14T08:17:07+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large-cnn #license-mit #autotrain_compatible #endpoints_compatible #region-us
| bart-cnn-samsum-finetuned
=========================
This model is a fine-tuned version of facebook/bart-large-cnn on the 'samsum' data set.
It achieves the following results on the evaluation set:
* Loss: 0.1330
Model description
-----------------
Experiments with simple training on an existing model; for my pe... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-finetuned-news_summarization
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://hugg... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-finetuned-news_summarization", "results": []}]} | DriveMyScream/mistral-finetuned-news_summarization | null | [
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"generated_from_trainer",
"base_model:TheBloke/Mistral-7B-Instruct-v0.1-GPTQ",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T08:17:18+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.1-GPTQ #license-apache-2.0 #region-us
|
# mistral-finetuned-news_summarization
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
"# mistral-finetuned-news_summarization\n\nThis model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ne... | [
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null | null |
# Llama 2 Chat 13B for RK3588
This is a conversion from https://huggingface.co/meta-llama/Llama-2-13b-chat-hf to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588.
# Main repo
See this for my full collection of converted LLMs for the RK3588's NPU:
https://huggingface.co/Pelochus/ezrkllm-co... | {"tags": ["llama2", "llama2-13b", "rkllm", "rockchip", "rk3588"]} | Pelochus/llama2-chat-13b-hf-rk3588 | null | [
"llama2",
"llama2-13b",
"rkllm",
"rockchip",
"rk3588",
"region:us"
] | null | 2024-04-14T08:18:51+00:00 | [] | [] | TAGS
#llama2 #llama2-13b #rkllm #rockchip #rk3588 #region-us
|
# Llama 2 Chat 13B for RK3588
This is a conversion from URL to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588.
# Main repo
See this for my full collection of converted LLMs for the RK3588's NPU:
URL
# License
Same as the original LLM:
URL | [
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text-generation | transformers | Demo on Google Colab: https://colab.research.google.com/drive/1i5plJtq_6HIOuk_x7D-LkYDpcd3SADLf?usp=sharing
Similarly as [Qwen-1.5-14B-Chat](https://huggingface.co/Qwen/Qwen1.5-14B-Chat), you can always call this model from the `AutoModel` class.
```python
from transformers import AutoModelForCausalLM, AutoTokenizer... | {"license": "mit"} | ljsabc/Qwen-1.5-14B-Chat-Fujisaki | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T08:19:20+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Demo on Google Colab: URL
Similarly as Qwen-1.5-14B-Chat, you can always call this model from the 'AutoModel' class.
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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": []} | kimleang123/seallms-7b-v2-khmer-qa-4096-v3 | null | [
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"conversational",
"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #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.
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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/BobzillaV19 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T08:24:29+00:00 | [
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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.
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- Shared by [optional]:
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text-to-image | diffusers |
**Model Name:** NSFW-GEN-ANIME
**Type:** Anime Text-to-Image Generator
**Description:** NSFW-GEN-ANIME is a text-to-anime image generator developed by UnfilteredAI. This model is designed to generate various kinds of images, including explicit and NSFW (Not Safe For Work) content, from textual inputs.
**Features:**... | {"language": ["en"], "license": "other", "library_name": "diffusers", "tags": ["NSFW", "UnfilteredAI", "Anime", "Text-to-Image"], "base_model": ["OEvortex/PixelGen", "UnfilteredAI/NSFW-gen"], "pipeline_tag": "text-to-image"} | UnfilteredAI/NSFW-GEN-ANIME | null | [
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"has_space",
"diffusers:StableDiffusionXLPipeline",
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"en"
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|
Model Name: NSFW-GEN-ANIME
Type: Anime Text-to-Image Generator
Description: NSFW-GEN-ANIME is a text-to-anime image generator developed by UnfilteredAI. This model is designed to generate various kinds of images, including explicit and NSFW (Not Safe For Work) content, from textual inputs.
Features:
- Anime Output:... | [] | [
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] |
null | transformers |
## 今現在はモデルを開発中です！
## モデルの詳細
このモデルは、オープンソースLLMの出力を学習させ、日本語に特化したLLMです。少しづつ性能を上げていく予定です。
このAIを使うときは、以下の利用規約を守ってください。
## Mouhu-0.1の利用規約
商用利用: Mouhu-0.1は商用利用が可能ですが、自作発言や危険な行為に使用することはポリシー違反です。商業的な利用に関しては、営利目的のプロジェクトやサービスでの利用も許可されていますが、Mouhu-0.1が提供する情報やサービスを悪用したり、不正な活動に使用することは禁止されています。
責任の限定: Mouhu-0.1を利用したことにより生じる損害に... | {"language": ["ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["code", "medical", "chemistry"]} | Arogeneration/Mouhu-0.1 | null | [
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"code",
"medical",
"chemistry",
"ja",
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] | null | 2024-04-14T08:25:08+00:00 | [] | [
"ja"
] | TAGS
#transformers #code #medical #chemistry #ja #license-apache-2.0 #endpoints_compatible #region-us
|
## 今現在はモデルを開発中です！
## モデルの詳細
このモデルは、オープンソースLLMの出力を学習させ、日本語に特化したLLMです。少しづつ性能を上げていく予定です。
このAIを使うときは、以下の利用規約を守ってください。
## Mouhu-0.1の利用規約
商用利用: Mouhu-0.1は商用利用が可能ですが、自作発言や危険な行為に使用することはポリシー違反です。商業的な利用に関しては、営利目的のプロジェクトやサービスでの利用も許可されていますが、Mouhu-0.1が提供する情報やサービスを悪用したり、不正な活動に使用することは禁止されています。
責任の限定: Mouhu-0.1を利用したことにより生じる損害に... | [
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"## Mouhu-0.1の利用規約\n\n商用利用: Mouhu-0.1は商用利用が可能ですが、自作発言や危険な行為に使用することはポリシー違反です。商業的な利用に関しては、営利目的のプロジェクトやサービスでの利用も許可されていますが、Mouhu-0.1が提供する情報やサービスを悪用したり、不正な活動に使用することは禁止されています。\n\n責任の限定: Mouhu-... | [
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"## Mouhu-0.1の利用規約\n\n商用利用: Mouhu-0.1は商用利用が可能ですが、自作発言や危険な行為に使用することはポリシー違反です... | [
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text-generation | null | # karakuri-midroze-CV.gguf
[Sdff-Ltba/LightChatAssistant-2x7B](https://huggingface.co/Sdff-Ltba/LightChatAssistant-2x7B?not-for-all-audiences=true)のChatVectorマージの手法を参考に、下記モデルをmergekitのtask_arithmetic方式にてmergeしたものを量子化しています。
- [karakuri-ai/karakuri-lm-70b-v0.1](https://huggingface.co/karakuri-ai/karakuri-lm-70b-v0.1)
- ... | {"language": ["ja"], "tags": ["merge"], "pipeline_tag": "text-generation"} | sbtom/karakuri-midrose-CV.gguf | null | [
"merge",
"text-generation",
"ja",
"arxiv:2310.04799",
"region:us"
] | null | 2024-04-14T08:26:28+00:00 | [
"2310.04799"
] | [
"ja"
] | TAGS
#merge #text-generation #ja #arxiv-2310.04799 #region-us
| # URL
Sdff-Ltba/LightChatAssistant-2x7BのChatVectorマージの手法を参考に、下記モデルをmergekitのtask_arithmetic方式にてmergeしたものを量子化しています。
- karakuri-ai/karakuri-lm-70b-v0.1
- sophosympatheia/Midnight-Rose-70B-v2.0.3
- meta-llama/Llama-2-70b-hf（ベースモデル）
## モデル概要
これは日本語の特定の能力がmergeにより、どのように向上するかをテストするための実験モデルです。<BR>
koboldで検証する際は、Max Ctx. To... | [
"# URL\n\nSdff-Ltba/LightChatAssistant-2x7BのChatVectorマージの手法を参考に、下記モデルをmergekitのtask_arithmetic方式にてmergeしたものを量子化しています。\n- karakuri-ai/karakuri-lm-70b-v0.1\n- sophosympatheia/Midnight-Rose-70B-v2.0.3\n- meta-llama/Llama-2-70b-hf（ベースモデル）",
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null | mlx |
# GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.2`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.2) for more details on the... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.2-mlx | null | [
"mlx",
"safetensors",
"mistral",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T08:27:19+00:00 | [] | [] | TAGS
#mlx #safetensors #mistral #license-apache-2.0 #region-us
|
# GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.2']().
Refer to the original model card for more details on the model.
## Use with mlx
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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. -->
# gpt-neo-125m-finetuned-cybersecurity
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/Eleu... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "EleutherAI/gpt-neo-125m", "model-index": [{"name": "gpt-neo-125m-finetuned-cybersecurity", "results": []}]} | serene89104/gpt-neo-125m-finetuned-cybersecurity | null | [
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| gpt-neo-125m-finetuned-cybersecurity
====================================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9384
* Accuracy: 0.1440
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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null | mlx |
# GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.5`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.5) for more details on the... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.5-mlx | null | [
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#mlx #safetensors #mistral #license-apache-2.0 #region-us
|
# GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Mistral-7B-Instruct-v0.2-layer-mix-bpw-2.5']().
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/01-Yi-6B-Chat-layer-mix-bpw-2.5 | null | [
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"region:us"
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#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
| [
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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. -->
# mt5-small-finetuned-wikisql2
This model is a fine-tuned version of [adityarao1612/mt5-small-finetuned-wikisql](https://huggingfa... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "mt5-small-finetuned-wikisql2", "results": []}]} | adityarao1612/mt5-small-finetuned-wikisql2 | null | [
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#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| mt5-small-finetuned-wikisql2
============================
This model is a fine-tuned version of adityarao1612/mt5-small-finetuned-wikisql on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5417
* Bleu: 41.0695
* Gen Len: 16.3565
Model description
-----------------
More inf... | [
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null | null | This Model uses GPT3 Small's configuration ,trained on shakespeare dataset to generate shakespeare like text. | {"license": "apache-2.0", "tags": ["Text-Generation", "Pytorch", "Transformers", "shakespeare", "gpt3 small"]} | pt-sk/GPT-3-Small-Shakespeare | null | [
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| This Model uses GPT3 Small's configuration ,trained on shakespeare dataset to generate shakespeare like text. | [] | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** mahiatlinux
- **License:** apache-2.0
- **Finetuned from model :** mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code4
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubuserconten... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code4"} | mahiatlinux/MasherAI-7B-v6.1-another_test3 | null | [
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|
# Uploaded model
- Developed by: mahiatlinux
- License: apache-2.0
- Finetuned from model : mahiatlinux/MasherAI-v6.1-7B-checkpoint3-code4
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Hercules-phi-2
<!-- Provide a quick summary of what the model is/does. -->
We fine-tuned phi2 on Locutusque's Hercules-v4.5.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This model has capabilities in math, coding, function calling, roleplay, and more. We fin... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["Locutusque/hercules-v4.5"], "inference": {"parameters": {"do_sample": true, "temperature": 1, "top_p": 0.7, "top_k": 4, "max_new_tokens": 250, "repetition_penalty": 1.1}}} | M4-ai/Hercules-phi-2 | null | [
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|
# Hercules-phi-2
We fine-tuned phi2 on Locutusque's Hercules-v4.5.
## Model Details
### Model Description
This model has capabilities in math, coding, function calling, roleplay, and more. We fine-tuned it using all examples of Hercules-v4.5.
- Developed by: M4-ai
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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": []} | shallow6414/x6651v1 | 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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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbertfinetuneHS3E8B
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbertfinetuneHS3E8B", "results": []}]} | KarthikAlagarsamy/distilbertfinetuneHS3E8B | null | [
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#transformers #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| distilbertfinetuneHS3E8B
========================
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: 2.1544
Model description
-----------------
More information needed
Intended uses & limitations
---------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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 Tiny Hindi - Sainadh Vatturi
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/w... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Tiny Hindi - Sainadh Vatturi", "results": [{"task": {"type": "automatic-speech-recognition", ... | sai-vatturi/whisper-tiny-hi | null | [
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| Whisper Tiny Hindi - Sainadh Vatturi
====================================
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6314
* Wer: 60.9667
Model description
-----------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* mergeCh... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["LeroyDyer/Mixtral_AI_CyberTron_Coder"]} | LeroyDyer/Mixtral_AI_CyberTron_SFT | null | [
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"autotrain_compatible",
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"region:us"
] | null | 2024-04-14T08:41:18+00:00 | [
"2203.05482"
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* mergeChild3
* mergeChild2
* LeroyDyer/Mixtral_AI_CyberTron_Coder
* mergeChild
#... | [
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"## Merge Details",
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text-generation | transformers |
## Project InterACT
This model is a part of Project InterACT (Multi model AI system) involving an object detection model and an LLM
This is a model built by finetuning the Llama-2-7b-chat model on custom dataset: Jithendra-k/InterACT_LLM.
Points to consider for Finetuning Llama-2_7B_chat model:<br>
=> Free Google Co... | {"language": ["en"], "license": "mit", "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "extra_gated_heading": "You need to share contact information with Meta to access this model", "extra_gated_prompt": "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means the terms and conditions for use, reprodu... | Jithendra-k/interACT_LLM | null | [
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"region:us"
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#transformers #pytorch #llama #text-generation #facebook #meta #llama-2 #en #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
|
## Project InterACT
This model is a part of Project InterACT (Multi model AI system) involving an object detection model and an LLM
This is a model built by finetuning the Llama-2-7b-chat model on custom dataset: Jithendra-k/InterACT_LLM.
Points to consider for Finetuning Llama-2_7B_chat model:<br>
=> Free Google Co... | [
"## Project InterACT\nThis model is a part of Project InterACT (Multi model AI system) involving an object detection model and an LLM\n\nThis is a model built by finetuning the Llama-2-7b-chat model on custom dataset: Jithendra-k/InterACT_LLM.\n\nPoints to consider for Finetuning Llama-2_7B_chat model:<br>\n=> Free... | [
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"## Project InterACT\nThis model is a part of Project InterACT (Multi model AI system) involving an object detection mod... | [
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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... | louisfghbvc/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-14T08:42:11+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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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/arcee-ai/MedLLaMA-Vicuna-13B-Slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "chaoyi-wu/MedLLaMA_13B", "lmsys/vicuna-13b-v1.3"], "base_model": "arcee-ai/MedLLaMA-Vicuna-13B-Slerp", "quantized_by": "mradermacher"} | mradermacher/MedLLaMA-Vicuna-13B-Slerp-GGUF | null | [
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"gguf",
"merge",
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"chaoyi-wu/MedLLaMA_13B",
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"en",
"base_model:arcee-ai/MedLLaMA-Vicuna-13B-Slerp",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T08:42:49+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #chaoyi-wu/MedLLaMA_13B #lmsys/vicuna-13b-v1.3 #en #base_model-arcee-ai/MedLLaMA-Vicuna-13B-Slerp #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #chaoyi-wu/MedLLaMA_13B #lmsys/vicuna-13b-v1.3 #en #base_model-arcee-ai/MedLLaMA-Vicuna-13B-Slerp #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. -->
# BERT-TextClassification
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an un... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "BERT-TextClassification", "results": []}]} | Jahanzeb1/BERT-TextClassification | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T08:43:35+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #region-us
| BERT-TextClassification
=======================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3769
* Accuracy: 0.841
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 25",
"### Trainin... | [
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text-generation | transformers |
# LeroyDyer/Mixtral_AI_PsycoTron-Q5_0-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_PsycoTron`](https://huggingface.co/LeroyDyer/Mixtral_AI_PsycoTron) 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 car... | {"language": ["en", "sw"], "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["uonlp/CulturaX"], "pipeline_tag": "text-generation"} | LeroyDyer/Mixtral_AI_PsycoTron-Q5_0-GGUF | null | [
"transformers",
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"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"sw",
"dataset:uonlp/CulturaX",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T08:43:57+00:00 | [] | [
"en",
"sw"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #en #sw #dataset-uonlp/CulturaX #endpoints_compatible #region-us
|
# LeroyDyer/Mixtral_AI_PsycoTron-Q5_0-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_PsycoTron' 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... | [
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"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the ... | [
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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": []} | HenryCai1129/LlamaAdapter-llama2-emo-300 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T08:44:14+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):
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | {"library_name": "peft"} | rvind2508/appian-code-llama | null | [
"peft",
"region:us"
] | null | 2024-04-14T08:44:34+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
- _load_in_8bit: False
- _load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quan... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ai_vs_real-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "ai_vs_real-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dat... | t1msan/ai_vs_real-finetuned-eurosat | null | [
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| ai\_vs\_real-finetuned-eurosat
==============================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0432
* Accuracy: 0.9902
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-polyhope-multiclass-english
This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.c... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-large", "model-index": [{"name": "roberta-large-polyhope-multiclass-english", "results": []}]} | olpop/roberta-large-polyhope-multiclass-english | null | [
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"generated_from_trainer",
"base_model:FacebookAI/roberta-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T08:45:06+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-large #license-mit #autotrain_compatible #endpoints_compatible #region-us
| roberta-large-polyhope-multiclass-english
=========================================
This model is a fine-tuned version of FacebookAI/roberta-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8522
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. -->
# llama2-7b-context-combine
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llam... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama2-7b-context-combine", "results": []}]} | K-kiron/llama2-7b-context-combine | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| llama2-7b-context-combine
=========================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3120
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
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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": []} | ramixpe/Llama-2-13b-chat-hf-sft-test-push-adapters | 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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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. -->
# 13_epoch_edu_model-finetuned-fintech
This model was trained from scratch on the generator dataset.
It achieves the following res... | {"tags": ["generated_from_trainer"], "datasets": ["generator"], "model-index": [{"name": "13_epoch_edu_model-finetuned-fintech", "results": []}]} | Pastushoc/13_epoch_edu_model-finetuned-fintech | null | [
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| 13\_epoch\_edu\_model-finetuned-fintech
=======================================
This model was trained from scratch on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 4.4475
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-32B-channel-mix-bpw-2.5 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-32B-channel-mix-bpw-3.0 | null | [
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** ntvcie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ntvcie/Gemma2bVinhntV5_16bit | null | [
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|
# Uploaded model
- Developed by: ntvcie
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This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
The DPO version will be available soon [here](https://huggingface.co/jondurbin/bagel-... | {"license": "apache-2.0", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physi... | jondurbin/bagel-7b-v0.5 | null | [
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# A bagel, with everything (except DPO)
!bagel
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset.
See bagel for additional details on the datasets.
The DPO version will be available soon here
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["arcee-ai/Patent-Instruct-7b", "NousResearch/Llama-2-7b-hf", "microsoft/Orca-2-7b"]} | Lilith88/mergekit-ties-qrxobrq | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using NousResearch/Llama-2-7b-hf as a base.
### Models Merged
The following models were included in the merge:
* arcee-ai/Patent-Instruct-7b
* microsoft... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="JoaoPinto/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | JoaoPinto/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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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": []} | likhithasapu/generator-gemma | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"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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automatic-speech-recognition | transformers |
# Kotoba-Whisper
_Kotoba-Whisper_ is a collection of distilled [Whisper](https://arxiv.org/abs/2212.04356) models for Japanese ASR, developed through the collaboration bewteen
[Asahi Ushio](https://asahiushio.com) and [Kotoba Technologies](https://twitter.com/kotoba_tech).
Following the original work of distil-whisper... | {"language": "ja", "license": "apache-2.0", "tags": ["audio", "automatic-speech-recognition", "hf-asr-leaderboard"], "metrics": ["wer"], "widget": [{"example_title": "CommonVoice 8.0 (Test Split)", "src": "https://huggingface.co/datasets/japanese-asr/ja_asr.common_voice_8_0/resolve/main/sample.flac"}, {"example_title":... | kotoba-tech/kotoba-whisper-v1.0 | null | [
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| Kotoba-Whisper
==============
*Kotoba-Whisper* is a collection of distilled Whisper models for Japanese ASR, developed through the collaboration bewteen
Asahi Ushio and Kotoba Technologies.
Following the original work of distil-whisper (Robust Knowledge Distillation via Large-Scale Pseudo Labelling),
we employ OpenAI... | [
"### Short-Form Transcription\n\n\nThe model can be used with the 'pipeline'\nclass to transcribe short-form audio files (< 30-seconds) as follows:\n\n\n* To transcribe a local audio file, simply pass the path to your audio file when you call the pipeline (make sure the audio is sampled in 16kHz):\n* For segment-le... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="JoaoPinto/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | JoaoPinto/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-14T08:55:25+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers |
# karasu-1.1B-linear_reverseweight
JPMixModel-test3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [lightblue/karasu-1.1B](https://huggingface.co/lightblue/karasu-1.1B)
* [niryuu/Karasu-1.1b-chat-vector](https://hugging... | {"tags": ["merge", "mergekit", "lazymergekit", "lightblue/karasu-1.1B", "niryuu/Karasu-1.1b-chat-vector"], "base_model": ["lightblue/karasu-1.1B", "niryuu/Karasu-1.1b-chat-vector"]} | aipib/karasu-1.1B-linear_reverseweight | null | [
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"autotrain_compatible",
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"text-... | null | 2024-04-14T08:56:33+00:00 | [] | [] | TAGS
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|
# karasu-1.1B-linear_reverseweight
JPMixModel-test3 is a merge of the following models using LazyMergekit:
* lightblue/karasu-1.1B
* niryuu/Karasu-1.1b-chat-vector
## Configuration
## Usage
| [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | SpideyDLK/wav2vec2-large-xls-r-300m-sinhala-original-split-part2 | null | [
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"region:us"
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#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Mistral-7B", "WizardLM/WizardMath-7B-V1.1"]} | mergekit-community/mergekit-slerp-sclthpf | null | [
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"base_model:WizardLM/WizardMath-7B-V1.1",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T08:58:02+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Hermes-2-Pro-Mistral-7B
* WizardLM/WizardMath-7B-V1.1
### Configura... | [
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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. -->
# GPT_Neo_llmcs
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "GPT_Neo_llmcs", "results": []}]} | kaiheilauser/GPT_Neo_llmcs | null | [
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"generated_from_trainer",
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] | null | 2024-04-14T08:58:48+00:00 | [] | [] | TAGS
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|
# GPT_Neo_llmcs
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.8919
- eval_runtime: 626.193
- eval_samples_per_second: 61.805
- eval_steps_per_second: 7.726
- step: 0
## Model description
More information needed
## Intended uses ... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbertfinetuneHS3E8BHLR
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbertfinetuneHS3E8BHLR", "results": []}]} | KarthikAlagarsamy/distilbertfinetuneHS3E8BHLR | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-14T09:01:16+00:00 | [] | [] | TAGS
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| distilbertfinetuneHS3E8BHLR
===========================
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: 1.5382
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Vezora/Agent-7b-v1-128k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["m-a-p/Code-Feedback"], "base_model": "Vezora/Agent-7b-v1-128k", "quantized_by": "mradermacher"} | mradermacher/Agent-7b-v1-128k-GGUF | null | [
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#transformers #gguf #en #dataset-m-a-p/Code-Feedback #base_model-Vezora/Agent-7b-v1-128k #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers | # OGSQL-Mistral7B
### Model Description
OGSQL-Mistral7B was fine-tuned for the task of converting natural language text into SQL queries.
- **Model type**: Mixture Of Experts (MoE)
- **Language(s)... | {"license": "cc-by-4.0", "library_name": "transformers", "tags": ["Text-to-sql"]} | OneGate/OGSQL-Mistral-7B | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Text-to-sql",
"conversational",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T09:11:12+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Text-to-sql #conversational #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # OGSQL-Mistral7B
!image/png
### Model Description
OGSQL-Mistral7B was fine-tuned for the task of converting natural language text into SQL queries.
- Model type: Mixture Of Experts (MoE)
- Language(s) (NLP): SQL (target language for generation)
- Finetuned from model: Mistral 7B instruct
## Use Case
OGSQL-7B is ... | [
"# OGSQL-Mistral7B\n\n!image/png",
"### Model Description\nOGSQL-Mistral7B was fine-tuned for the task of converting natural language text into SQL queries.\n\n\n- Model type: Mixture Of Experts (MoE)\n- Language(s) (NLP): SQL (target language for generation)\n- Finetuned from model: Mistral 7B instruct",
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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-full
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-forever/ruBer... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-full", "results": []}]} | Shalazary/ruBert-base-sberquad-full | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T09:12:31+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-full
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
### Training hyper... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_idpo_same_3itersn_iter_3
This model is a fine-tuned version of [ShenaoZ/0.0001_idpo_same_3itersn_iter_2](https://huggingf... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_idpo_same_3itersn_iter_2", "model-index": [{"name": "0.0001_idpo_same_3itersn_iter_3", "results": []}]} | ShenaoZ/0.0001_idpo_same_3itersn_iter_3 | null | [
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|
# 0.0001_idpo_same_3itersn_iter_3
This model is a fine-tuned version of ShenaoZ/0.0001_idpo_same_3itersn_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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text-generation | peft |
# Dragoman: English-Ukrainian Machine Translation Model
## Model Description
The Dragoman is a sentence-level SOTA English-Ukrainian translation model. It's trained using a two-phase pipeline: pretraining on cleaned [Paracrawl](https://huggingface.co/datasets/Helsinki-NLP/opus_paracrawl) dataset and unsupervised dat... | {"language": ["uk", "en"], "license": "apache-2.0", "library_name": "peft", "tags": ["translation"], "datasets": ["Helsinki-NLP/opus_paracrawl", "turuta/Multi30k-uk"], "metrics": ["bleu"], "pipeline_tag": "text-generation", "base_model": "mistralai/Mistral-7B-v0.1", "widget": [{"text": "[INST] who holds this neighborho... | lang-uk/dragoman | null | [
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| Dragoman: English-Ukrainian Machine Translation Model
=====================================================
Model Description
-----------------
The Dragoman is a sentence-level SOTA English-Ukrainian translation model. It's trained using a two-phase pipeline: pretraining on cleaned Paracrawl dataset and unsupervise... | [
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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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- llm_int8_skip_modules: None
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- bnb_4bit_quant_type: nf4
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#peft #region-us
| ## Training procedure
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbertfinetuneHS5E8BHLR
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbertfinetuneHS5E8BHLR", "results": []}]} | KarthikAlagarsamy/distilbertfinetuneHS5E8BHLR | null | [
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| distilbertfinetuneHS5E8BHLR
===========================
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: 1.6401
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
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null | null |
# Model Card for Model ID
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null | transformers | ## About
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static quants of https://huggingface.co/ibivibiv/aegolius-acadicus-34b-v3
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#transformers #gguf #moe #en #base_model-ibivibiv/aegolius-acadicus-34b-v3 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #moe #en #base_model-ibivibiv/aegolius-acadicus-34b-v3 #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. -->
# dpo_harmlessharmless_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05
This model is a fine-tuned version of ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "dpo_harmlessharmless_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05", "results": []}]} | Holarissun/dpo_harmlessharmless_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-14T09:27:22+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# dpo_harmlessharmless_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
... | [
"# dpo_harmlessharmless_gamma0.0_beta0.1_subset20000_modelmistral7b_maxsteps5000_bz8_lr1e-05\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training ... | [
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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. -->
# mistral-7b-text-to-sql_full-model
- This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mis... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["b-mc2/sql-create-context"], "base_model": "mistralai/Mistral-7B-v0.1", "reference": ["https://www.philschmid.de/fine-tune-llms-in-2024-with-trl"], "pipeline_tag": "text2text-generation", "model-index": [{"name": "mistral-7b-text... | delayedkarma/mistral-7b-text-to-sql_full-model | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"text2text-generation",
"en",
"dataset:b-mc2/sql-create-context",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-14T09:29:56+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #text2text-generation #en #dataset-b-mc2/sql-create-context #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mistral-7b-text-to-sql_full-model
- This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the b-mc2/sql-create-context dataset.
- These are the full model weights (merged with adapter weights), and the code to use these for generation is given below.
- Primary reference: URL
## Model description
- ... | [
"# mistral-7b-text-to-sql_full-model\n\n- This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the b-mc2/sql-create-context dataset.\n- These are the full model weights (merged with adapter weights), and the code to use these for generation is given below.\n- Primary reference: URL",
"## Model descr... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #text2text-generation #en #dataset-b-mc2/sql-create-context #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q4_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberTron_Ultra`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron_Ultra) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["LeroyDyer/Mixtral_AI_CyberTron_Coder"]} | LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q4 | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:LeroyDyer/Mixtral_AI_CyberTron_Coder",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T09:31:10+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-LeroyDyer/Mixtral_AI_CyberTron_Coder #endpoints_compatible #region-us
|
# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q4_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron_Ultra' 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 CL... | [
"# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron_Ultra' 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 ... | [
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"# LeroyDyer/Mixtral_AI_CyberTron_Ultra-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron_Ultra' using URL via the URL... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Enagamirzayev/whisper-small-llm-lingo_n | null | [
"transformers",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T09:31:17+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- 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 #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has b... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-finetuned-ChennaiQA-10
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepse... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "roberta-finetuned-ChennaiQA-10", "results": []}]} | aditi2212/roberta-finetuned-ChennaiQA-10 | null | [
"transformers",
"safetensors",
"roberta",
"question-answering",
"generated_from_trainer",
"base_model:deepset/roberta-base-squad2",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T09:33:28+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #question-answering #generated_from_trainer #base_model-deepset/roberta-base-squad2 #license-cc-by-4.0 #endpoints_compatible #region-us
|
# roberta-finetuned-ChennaiQA-10
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
"# roberta-finetuned-ChennaiQA-10\n\nThis model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
"TAGS\n#transformers #safetensors #roberta #question-answering #generated_from_trainer #base_model-deepset/roberta-base-squad2 #license-cc-by-4.0 #endpoints_compatible #region-us \n",
"# roberta-finetuned-ChennaiQA-10\n\nThis model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.",
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | nzdb70/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-14T09:34:05+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo... | [
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"TAGS\n#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nT... |
text-generation | null |
# DavidAU/PiVoT-10.7B-Mistral-v0.2-RP-Q6_K-GGUF
This model was converted to GGUF format from [`maywell/PiVoT-10.7B-Mistral-v0.2-RP`](https://huggingface.co/maywell/PiVoT-10.7B-Mistral-v0.2-RP) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [ori... | {"language": ["en"], "license": "cc-by-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/PiVoT-10.7B-Mistral-v0.2-RP-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:cc-by-sa-4.0",
"region:us"
] | null | 2024-04-14T09:35:37+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #text-generation #en #license-cc-by-sa-4.0 #region-us
|
# DavidAU/PiVoT-10.7B-Mistral-v0.2-RP-Q6_K-GGUF
This model was converted to GGUF format from 'maywell/PiVoT-10.7B-Mistral-v0.2-RP' 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.
... | [
"# DavidAU/PiVoT-10.7B-Mistral-v0.2-RP-Q6_K-GGUF\nThis model was converted to GGUF format from 'maywell/PiVoT-10.7B-Mistral-v0.2-RP' 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 serv... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #text-generation #en #license-cc-by-sa-4.0 #region-us \n",
"# DavidAU/PiVoT-10.7B-Mistral-v0.2-RP-Q6_K-GGUF\nThis model was converted to GGUF format from 'maywell/PiVoT-10.7B-Mistral-v0.2-RP' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for mo... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #text-generation #en #license-cc-by-sa-4.0 #region-us \n# DavidAU/PiVoT-10.7B-Mistral-v0.2-RP-Q6_K-GGUF\nThis model was converted to GGUF format from 'maywell/PiVoT-10.7B-Mistral-v0.2-RP' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more det... |
text-to-image | diffusers |
# vxpanimaponyv_xl API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_i... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/vxpanimaponyv_xl | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-14T09:35:43+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionXLPipeline #region-us
|
# vxpanimaponyv_xl API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "vxpanimaponyv_xl"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model li... | [
"# vxpanimaponyv_xl API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"vxpanimaponyv_xl\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Gene... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionXLPipeline #region-us \n",
"# vxpanimaponyv_xl API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API... | [
60,
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"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #has_space #diffusers-StableDiffusionXLPipeline #region-us \n# vxpanimaponyv_xl API Inference\n\n!generated from URL## Get API Key\n\nGet API key from ModelsLab API, No Payment... |
text-generation | null |
# DavidAU/PiVoT-10.7B-Mistral-v0.2-Q6_K-GGUF
This model was converted to GGUF format from [`maywell/PiVoT-10.7B-Mistral-v0.2`](https://huggingface.co/maywell/PiVoT-10.7B-Mistral-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mod... | {"language": ["en", "ko"], "license": "cc-by-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/PiVoT-10.7B-Mistral-v0.2-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"ko",
"license:cc-by-sa-4.0",
"region:us"
] | null | 2024-04-14T09:37:25+00:00 | [] | [
"en",
"ko"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #text-generation #en #ko #license-cc-by-sa-4.0 #region-us
|
# DavidAU/PiVoT-10.7B-Mistral-v0.2-Q6_K-GGUF
This model was converted to GGUF format from 'maywell/PiVoT-10.7B-Mistral-v0.2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# DavidAU/PiVoT-10.7B-Mistral-v0.2-Q6_K-GGUF\nThis model was converted to GGUF format from 'maywell/PiVoT-10.7B-Mistral-v0.2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or ... | [
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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": []} | DuongTrongChi/opt-350m-chat | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# Sailor-0.5B-Chat
This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the gene... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "facebook/opt-350m", "model-index": [{"name": "Sailor-0.5B-Chat", "results": []}]} | DuongTrongChi/Sailor-0.5B-Chat | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-facebook/opt-350m #license-other #region-us
|
# Sailor-0.5B-Chat
This model is a fine-tuned version of facebook/opt-350m on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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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": ["unsloth"]} | ModularityAI/gemma-2b-datascience-it-adapters-raft | null | [
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"1910.09700"
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#transformers #tensorboard #safetensors #unsloth #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]:
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- License... | [
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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. -->
# demoasr - aachaldhote001
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-smal... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_13_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "demoasr - aachaldhote001", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Au... | aachaldhote001/demoasr | null | [
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| demoasr - aachaldhote001
========================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 13 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2696
* Wer: 34.5636
* Cer: 12.1204
Model description
-----------------
More information needed
Intende... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
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text-generation | null |
# DavidAU/PiVoT-0.1-Starling-LM-RP-Q4_K_M-GGUF
This model was converted to GGUF format from [`maywell/PiVoT-0.1-Starling-LM-RP`](https://huggingface.co/maywell/PiVoT-0.1-Starling-LM-RP) 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 m... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/PiVoT-0.1-Starling-LM-RP-Q4_K_M-GGUF | null | [
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] | TAGS
#gguf #llama-cpp #gguf-my-repo #text-generation #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/PiVoT-0.1-Starling-LM-RP-Q4_K_M-GGUF
This model was converted to GGUF format from 'maywell/PiVoT-0.1-Starling-LM-RP' 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:... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | JoaoPinto/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-14T09:45:28+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Experiment1-system1-roberta-base-finetuned-ner
This model is a fine-tuned version of [roberta-base](https://huggingface.co/rober... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "roberta-base", "model-index": [{"name": "Experiment1-system1-roberta-base-finetuned-ner", "results": []}]} | lobrien001/Experiment1-system1-roberta-base-finetuned-ner | null | [
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"region:us"
] | null | 2024-04-14T09:55:24+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #token-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| Experiment1-system1-roberta-base-finetuned-ner
==============================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1869
* Precision: 0.9424
* Recall: 0.9335
* F1: 0.9379
* Accuracy: 0.9330
Model... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | IbrahimTarek/Boiler_gemma7b | null | [
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"text-generation",
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"autotrain_compatible",
"endpoints_compatible",
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"4-bit",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- 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. -->
# sparse_mistral_7b_refined_web_50p_2024-04-14
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "sparse_mistral_7b_refined_web_50p_2024-04-14", "results": []}]} | thrunlab/sparse_mistral_7b_refined_web_50p_2024-04-14 | null | [
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| sparse\_mistral\_7b\_refined\_web\_50p\_2024-04-14
==================================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1982
Model description
-----------------
More information ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 4\n* seed: 0\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 32\n* ... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# amazon_kindle_sentiment_analysis_final2
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "amazon_kindle_sentiment_analysis_final2", "results": []}]} | denise227/amazon_kindle_sentiment_analysis_final2 | null | [
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"base_model:bert-base-uncased",
"license:apache-2.0",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-14T10:01:24+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| amazon\_kindle\_sentiment\_analysis\_final2
===========================================
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: 1.0443
* Accuracy: 0.5642
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Training... | [
"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* learnin... | [
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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": []} | zahra-soukhtedel/wav2vec2-large-xls-r-300m-persion-v2 | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T10:01:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- ... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="tarpalsus/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | tarpalsus/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-14T10:06:36+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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"TAGS\n#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
] |
feature-extraction | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned_bge_ver11
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver11", "results": []}]} | comet24082002/finetuned_bge_ver11 | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"feature-extraction",
"generated_from_trainer",
"base_model:BAAI/bge-m3",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-14T10:12:16+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us
|
# finetuned_bge_ver11
This model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The f... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### T... | [
"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us \n",
"# finetuned_bge_ver11\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.",
"## Model description\n\nMore in... | [
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"TAGS\n#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us \n# finetuned_bge_ver11\n\nThis model is a fine-tuned version of BAAI/bge-m3 on an unknown dataset.## Model description\n\nMore information ne... |
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