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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. -->
# aftonposten-6b-align-scan
This model is a fine-tuned version of [data/ap-gpt-j-6b-sft-qlora-04-08](https://huggingface.co/data/a... | {"library_name": "peft", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer"], "datasets": ["hugodk-sch/aftonposten_title_prefs"], "base_model": "NbAiLab/nb-gpt-j-6B-v2", "model-index": [{"name": "aftonposten-6b-align-scan", "results": []}]} | hugodk-sch/aftonposten-6b-align-scan | null | [
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"base_model:NbAiLab/nb-gpt-j-6B-v2",
"4-bit",
"region:us"
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| aftonposten-6b-align-scan
=========================
This model is a fine-tuned version of data/ap-gpt-j-6b-sft-qlora-04-08 on the hugodk-sch/aftonposten\_title\_prefs dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5772
* Rewards/chosen: 0.0684
* Rewards/rejected: 0.0623
* Rewards/accura... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with... | [
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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:
* [LeroyD... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["LeroyDyer/Mixtral_AI_CyberTron_M3", "LeroyDyer/Mixtral_AI_CyberTron_m1", "LeroyDyer/Mixtral_AI_CyberTron", "LeroyDyer/Mixtral_AI_CyberTron_m2", "LeroyDyer/Mixtral_AI_CyberTron_M4"]} | LeroyDyer/Mixtral_AI_MegaTron | null | [
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"base_model:LeroyDyer/Mixtral_AI_... | null | 2024-04-12T07:58:59+00:00 | [
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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:
* LeroyDyer/Mixtral_AI_CyberTron_M3
* LeroyDyer/Mixtral_AI_CyberTron_m1
* LeroyDye... | [
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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. -->
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "finetuning-sentiment-model-3000-samples", "results": []}]} | Ganesh3024/finetuning-sentiment-model-3000-samples | null | [
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"autotrain_compatible",
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|
# finetuning-sentiment-model-3000-samples
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3277
- Accuracy: 0.8733
- F1: 0.8742
## Model description
More information needed
## Intended uses & limitations
More ... | [
"# finetuning-sentiment-model-3000-samples\n\nThis model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.3277\n- Accuracy: 0.8733\n- F1: 0.8742",
"## Model description\n\nMore information needed",
"## Intended uses & ... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Juniplayground/juniper-all-mpnet-base-v2-v10 | null | [
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#transformers #safetensors #mpnet #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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:
* [LeroyD... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["LeroyDyer/Mixtral_AI_CyberTron", "LeroyDyer/Mixtral_AI_CyberTron_M3", "LeroyDyer/Mixtral_AI_CyberTron_M4"]} | LeroyDyer/Mixtral_AI_AlphaTron | null | [
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"endpoi... | null | 2024-04-12T08:03:35+00:00 | [
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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:
* LeroyDyer/Mixtral_AI_CyberTron
* Mixtral_AI_MegaTron
* LeroyDyer/Mixtral_AI_Cybe... | [
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null | null |
# DavidAU/EnsembleV5-Nova-13B-Q6_K-GGUF
This model was converted to GGUF format from [`Weyaxi/EnsembleV5-Nova-13B`](https://huggingface.co/Weyaxi/EnsembleV5-Nova-13B) 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://... | {"license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/EnsembleV5-Nova-13B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-12T08:04:09+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #region-us
|
# DavidAU/EnsembleV5-Nova-13B-Q6_K-GGUF
This model was converted to GGUF format from 'Weyaxi/EnsembleV5-Nova-13B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/EnsembleV5-Nova-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Weyaxi/EnsembleV5-Nova-13B' 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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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": []} | aidiary/opt-6.7b-lora | null | [
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"endpoints_compatible",
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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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text-generation | transformers |
<p align="center">
<img width="1000px" alt="DeepSeek Coder" src="https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://coder.deepseek.com/">[🤖 Chat with DeepSeek Coder]</a> | <a href="htt... | {"license": "other", "license_name": "deepseek-license", "license_link": "LICENSE"} | TechxGenus/deepseek-coder-33b-base-AQLM | null | [
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"text-generation",
"arxiv:2401.06118",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-12T08:09:31+00:00 | [
"2401.06118"
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|
<p align="center">
<img width="1000px" alt="DeepSeek Coder" src="URL
</p>
<p align="center"><a href="URL | <a href="URL Chat with DeepSeek Coder]</a> | <a href="URL | <a href="URL(微信)]</a> </p>
<hr>
AQLM quantized version of deepseek-coder-33b-base model.
Refer to the official GitHub repo for more information.... | [
"### 1. Introduction of Deepseek Coder\n\nDeepseek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. We provide various sizes of the code model, ranging from 1B to 33B versions. Each mod... | [
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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": []} | OwOpeepeepoopoo/ummm3 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Calmex26-10B-MoE
Calmex26-10B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp)
* [a... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/CalmExperiment-7B-slerp"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/CalmExperiment-7B-slerp"]} | allknowingroger/Calmex26-10B-MoE | null | [
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"base_model:allknowingroger/MultiverseEx26-7B-slerp",
"base_model:allknowingroger/CalmE... | null | 2024-04-12T08:12:58+00:00 | [] | [] | TAGS
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# Calmex26-10B-MoE
Calmex26-10B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/MultiverseEx26-7B-slerp
* allknowingroger/CalmExperiment-7B-slerp
## Configuration
## Usage
| [
"# Calmex26-10B-MoE\n\nCalmex26-10B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:\n* allknowingroger/MultiverseEx26-7B-slerp\n* allknowingroger/CalmExperiment-7B-slerp",
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null | null |
# DavidAU/Sakura-13B-LNovel-v0.8-Q8_0-GGUF
This model was converted to GGUF format from [`SakuraLLM/Sakura-13B-LNovel-v0.8`](https://huggingface.co/SakuraLLM/Sakura-13B-LNovel-v0.8) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Sakura-13B-LNovel-v0.8-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T08:14:42+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Sakura-13B-LNovel-v0.8-Q8_0-GGUF
This model was converted to GGUF format from 'SakuraLLM/Sakura-13B-LNovel-v0.8' 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/Sakura-13B-LNovel-v0.8-Q8_0-GGUF\nThis model was converted to GGUF format from 'SakuraLLM/Sakura-13B-LNovel-v0.8' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or th... | [
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"#... | [
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image-segmentation | 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. -->
# segformer-cloth-hoodie-30-steps
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on t... | {"license": "other", "tags": ["image-segmentation", "vision", "generated_from_trainer"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-cloth-hoodie-30-steps", "results": []}]} | TREENAMU/segformer-cloth-hoodie-30-steps | null | [
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"segformer",
"image-segmentation",
"vision",
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"base_model:nvidia/mit-b0",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T08:14:55+00:00 | [] | [] | TAGS
#transformers #safetensors #segformer #image-segmentation #vision #generated_from_trainer #base_model-nvidia/mit-b0 #license-other #endpoints_compatible #region-us
|
# segformer-cloth-hoodie-30-steps
This model is a fine-tuned version of nvidia/mit-b0 on the TREENAMU/segFinetune dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3849
- Mean Iou: 0.2926
- Mean Accuracy: 0.3657
- Overall Accuracy: 0.9048
- Accuracy Background: nan
- Accuracy Button: 0.0
-... | [
"# segformer-cloth-hoodie-30-steps\n\nThis model is a fine-tuned version of nvidia/mit-b0 on the TREENAMU/segFinetune dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.3849\n- Mean Iou: 0.2926\n- Mean Accuracy: 0.3657\n- Overall Accuracy: 0.9048\n- Accuracy Background: nan\n- Accuracy Bu... | [
"TAGS\n#transformers #safetensors #segformer #image-segmentation #vision #generated_from_trainer #base_model-nvidia/mit-b0 #license-other #endpoints_compatible #region-us \n",
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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. -->
# swin-tiny-patch4-window7-224-finetuned-lungs-disease
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-lungs-disease", "results": [{"task": {"type": "image-classification", "name": "Imag... | luciana/swin-tiny-patch4-window7-224-finetuned-lungs-disease | null | [
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] | null | 2024-04-12T08:16:08+00:00 | [] | [] | TAGS
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| swin-tiny-patch4-window7-224-finetuned-lungs-disease
====================================================
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: 0.2434
* Accuracy: 0.9076
Model descri... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
This Model is a first test to combine [Jamba](https://huggingface.co/ai21labs/Jamba-v0.1) architecture with 1.58 bits linear layers and mixture of attention head.
The goal is to developpe and ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moah"], "datasets": ["Locutusque/UltraTextbooks"]} | Ostixe360/Moah-MoE-1.58b-1B | null | [
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"en",
"dataset:Locutusque/UltraTextbooks",
"license:apache-2.0",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-12T08:17:17+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation #moe #moah #en #dataset-Locutusque/UltraTextbooks #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This Model is a first test to combine Jamba architecture with 1.58 bits linear layers and mixture of attention head.
The goal is to developpe and test if this kind of architectures have not too much quality loss for a fast inference.
- Model type... | [
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null | null |
# DavidAU/Instruct-v0.2-Seraph-7B-Q8_0-GGUF
This model was converted to GGUF format from [`Weyaxi/Instruct-v0.2-Seraph-7B`](https://huggingface.co/Weyaxi/Instruct-v0.2-Seraph-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"license": "apache-2.0", "tags": ["merge", "llama-cpp", "gguf-my-repo"]} | DavidAU/Instruct-v0.2-Seraph-7B-Q8_0-GGUF | null | [
"gguf",
"merge",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T08:18:05+00:00 | [] | [] | TAGS
#gguf #merge #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/Instruct-v0.2-Seraph-7B-Q8_0-GGUF
This model was converted to GGUF format from 'Weyaxi/Instruct-v0.2-Seraph-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# DavidAU/Instruct-v0.2-Seraph-7B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Instruct-v0.2-Seraph-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
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text-generation | transformers | # BitLinear-phi-1.5
BitLinear-phi-1.5 is a model trained partially using the method described in [The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits](https://arxiv.org/abs/2402.17764).
### Notice: Our BitLinear layer will only apply 1-bit quantization to the weight
### Other components (RMSnorm, activa... | {"license": "mit", "datasets": ["wikipedia"]} | Mrw33554432/bitLinear-phi-1.5 | null | [
"transformers",
"safetensors",
"phi",
"text-generation",
"custom_code",
"dataset:wikipedia",
"arxiv:2402.17764",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T08:18:24+00:00 | [
"2402.17764"
] | [] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #dataset-wikipedia #arxiv-2402.17764 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # BitLinear-phi-1.5
BitLinear-phi-1.5 is a model trained partially using the method described in The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.
### Notice: Our BitLinear layer will only apply 1-bit quantization to the weight
### Other components (RMSnorm, activation quant) in the paper is discarde... | [
"# BitLinear-phi-1.5\n\nBitLinear-phi-1.5 is a model trained partially using the method described in The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.",
"### Notice: Our BitLinear layer will only apply 1-bit quantization to the weight",
"### Other components (RMSnorm, activation quant) in the p... | [
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"TAGS\n#transformers #safetensors #phi #text-generation #custom_code #dataset-wikipedia #arxiv-2402.17764 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# BitLinear-phi-1.5\n\nBitLinear-phi-1.5 is a model trained partially using the method described in The Era of 1-... |
fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilroberta-base-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-wikitext2", "results": []}]} | gplaza91/distilroberta-base-finetuned-wikitext2 | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"fill-mask",
"generated_from_trainer",
"base_model:distilroberta-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T08:21:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilroberta-base-finetuned-wikitext2
======================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8355
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
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null | null |
# DavidAU/EnsembleV5-Nova-13B-Q8_0-GGUF
This model was converted to GGUF format from [`Weyaxi/EnsembleV5-Nova-13B`](https://huggingface.co/Weyaxi/EnsembleV5-Nova-13B) 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://... | {"license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/EnsembleV5-Nova-13B-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-12T08:23:30+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-cc-by-nc-4.0 #region-us
|
# DavidAU/EnsembleV5-Nova-13B-Q8_0-GGUF
This model was converted to GGUF format from 'Weyaxi/EnsembleV5-Nova-13B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/EnsembleV5-Nova-13B-Q8_0-GGUF\nThis model was converted to GGUF format from 'Weyaxi/EnsembleV5-Nova-13B' 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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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": []} | oscarmv/math-expressions | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T08:23:46+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #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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"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "THUDM/chatglm3-6b"} | KashiwaByte/Read_Comprehension_Chatglm3-6b_qlora | null | [
"peft",
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"region:us"
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-THUDM/chatglm3-6b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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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
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-unca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "amazon_kindle_sentiment_analysis", "results": []}]} | denise227/amazon_kindle_sentiment_analysis | null | [
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"bert",
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"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T08:24:13+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
===================================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9971
* Accuracy: 0.5767
Model description
-----------------
More information needed
Intended... | [
"### 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... | [
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null | null |
# DavidAU/CarbonVillain-v4-Sakura-Solar-Slerp-Q6_K-GGUF
This model was converted to GGUF format from [`Weyaxi/CarbonVillain-v4-Sakura-Solar-Slerp`](https://huggingface.co/Weyaxi/CarbonVillain-v4-Sakura-Solar-Slerp) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) sp... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/CarbonVillain-v4-Sakura-Solar-Slerp-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T08:25:11+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/CarbonVillain-v4-Sakura-Solar-Slerp-Q6_K-GGUF
This model was converted to GGUF format from 'Weyaxi/CarbonVillain-v4-Sakura-Solar-Slerp' 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 serve... | [
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"## Use with URL\n\nInstall URL through brew.\n\n\nInvo... | [
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null | adapter-transformers |
# Adapter `jgrc3/pfeiffer_adapter_classification_noPre` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classification.
Th... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_helpfulness"]} | jgrc3/pfeiffer_adapter_classification_noPre | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness",
"region:us"
] | null | 2024-04-12T08:25:58+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'jgrc3/pfeiffer_adapter_classification_noPre' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'ada... | [
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"## Usage\n\nFirst... | [
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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. -->
# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-squad", "results": []}]} | gplaza91/distilbert-base-uncased-finetuned-squad | null | [
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"distilbert",
"question-answering",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T08:26:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-squad
=======================================
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: 1.1594
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
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null | null |
# DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q6_K-GGUF
This model was converted to GGUF format from [`Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp`](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-re... | {"license": "apache-2.0", "tags": ["merge", "llama-cpp", "gguf-my-repo"], "base_model": ["teknium/OpenHermes-2.5-Mistral-7B", "Intel/neural-chat-7b-v3-3"], "model-index": [{"name": "OpenHermes-2.5-neural-chat-v3-3-Slerp", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "... | DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q6_K-GGUF | null | [
"gguf",
"merge",
"llama-cpp",
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"base_model:Intel/neural-chat-7b-v3-3",
"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-12T08:26:51+00:00 | [] | [] | TAGS
#gguf #merge #llama-cpp #gguf-my-repo #base_model-teknium/OpenHermes-2.5-Mistral-7B #base_model-Intel/neural-chat-7b-v3-3 #license-apache-2.0 #model-index #region-us
|
# DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q6_K-GGUF
This model was converted to GGUF format from 'Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp' 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 s... | [
"# DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q6_K-GGUF\nThis model was converted to GGUF format from 'Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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"# DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q6_K-GGUF\nThis model was converted to GGUF format from 'Weyaxi/OpenHermes-2.5-neural-c... | [
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"TAGS\n#gguf #merge #llama-cpp #gguf-my-repo #base_model-teknium/OpenHermes-2.5-Mistral-7B #base_model-Intel/neural-chat-7b-v3-3 #license-apache-2.0 #model-index #region-us \n# DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q6_K-GGUF\nThis model was converted to GGUF format from 'Weyaxi/OpenHermes-2.5-neural-chat-v3... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-chat-75000-75-25-L
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-ll... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-75000-75-25-L", "results": []}]} | Niyantha23M/llama-7b-chat-75000-75-25-L | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-12T08:32:38+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# llama-7b-chat-75000-75-25-L
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
"# llama-7b-chat-75000-75-25-L\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## ... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us \n",
"# llama-7b-chat-75000-75-25-L\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.",
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reinforcement-learning | null |
# **Reinforce** Agent playing **MountainCarContinuous-v0**
This is a trained model of a **Reinforce** agent playing **MountainCarContinuous-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["MountainCarContinuous-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-MountainCarContinuous-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "MountainCarContinuous-v0"... | arekpaterak/Reinforce-MountainCarContinuous-v0 | null | [
"MountainCarContinuous-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-12T08:35:11+00:00 | [] | [] | TAGS
#MountainCarContinuous-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing MountainCarContinuous-v0
This is a trained model of a Reinforce agent playing MountainCarContinuous-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing MountainCarContinuous-v0\n This is a trained model of a Reinforce agent playing MountainCarContinuous-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | DamnDamnbro/biobert-finetuned | null | [
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"safetensors",
"gpt2",
"token-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T08:38:27+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #token-classification #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",
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"TAGS\n#transformers #safetensors #gpt2 #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. T... |
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. -->
# my_awesome_eli5_mlm_model
This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilbert/distilroberta-base", "model-index": [{"name": "my_awesome_eli5_mlm_model", "results": []}]} | lifshort/my_awesome_eli5_mlm_model | null | [
"transformers",
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"roberta",
"fill-mask",
"generated_from_trainer",
"dataset:eli5_category",
"base_model:distilbert/distilroberta-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T08:39:01+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #fill-mask #generated_from_trainer #dataset-eli5_category #base_model-distilbert/distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_eli5\_mlm\_model
=============================
This model is a fine-tuned version of distilbert/distilroberta-base on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0325
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 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... | [
"TAGS\n#transformers #safetensors #roberta #fill-mask #generated_from_trainer #dataset-eli5_category #base_model-distilbert/distilroberta-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **MountainCarContinuous-v0**
This is a trained model of a **Reinforce** agent playing **MountainCarContinuous-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["MountainCarContinuous-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-MountainCar-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "MountainCarContinuous-v0", "type": ... | arekpaterak/Reinforce-MountainCar-v0 | null | [
"MountainCarContinuous-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-12T08:39:29+00:00 | [] | [] | TAGS
#MountainCarContinuous-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing MountainCarContinuous-v0
This is a trained model of a Reinforce agent playing MountainCarContinuous-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing MountainCarContinuous-v0\n This is a trained model of a Reinforce agent playing MountainCarContinuous-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
] | [
"TAGS\n#MountainCarContinuous-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n",
"# Reinforce Agent playing MountainCarContinuous-v0\n This is a trained model of a Reinforce agent playing MountainCarContinuous-v0 .\n To learn to use this model and train your... | [
35,
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"TAGS\n#MountainCarContinuous-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing MountainCarContinuous-v0\n This is a trained model of a Reinforce agent playing MountainCarContinuous-v0 .\n To learn to use this model and train yours chec... |
null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# TrOCR-SIN(DeiT)
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the followi... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "TrOCR-SIN(DeiT)", "results": []}]} | kavg/TrOCR-SIN-DeiT | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-12T08:44:08+00:00 | [] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #generated_from_trainer #endpoints_compatible #has_space #region-us
| TrOCR-SIN(DeiT)
===============
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4335
* Cer: 0.1445
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 75000\n* mixe... | [
"TAGS\n#transformers #safetensors #vision-encoder-decoder #generated_from_trainer #endpoints_compatible #has_space #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* see... | [
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null | null |
# DavidAU/Bagel-Hermes-34B-Slerp-Q4_K_M-GGUF
This model was converted to GGUF format from [`Weyaxi/Bagel-Hermes-34B-Slerp`](https://huggingface.co/Weyaxi/Bagel-Hermes-34B-Slerp) 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... | {"license": "other", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "license_name": "yi-license", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "model-index": [{"name": "Bagel-Hermes-34B-Slerp", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "da... | DavidAU/Bagel-Hermes-34B-Slerp-Q4_K_M-GGUF | null | [
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"license:other",
"model-index",
"region:us"
] | null | 2024-04-12T08:45:45+00:00 | [] | [] | TAGS
#gguf #mergekit #merge #llama-cpp #gguf-my-repo #license-other #model-index #region-us
|
# DavidAU/Bagel-Hermes-34B-Slerp-Q4_K_M-GGUF
This model was converted to GGUF format from 'Weyaxi/Bagel-Hermes-34B-Slerp' 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:
S... | [
"# DavidAU/Bagel-Hermes-34B-Slerp-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/Bagel-Hermes-34B-Slerp' 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... | [
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text-generation | transformers |
# Model Card for NL2SQL-StarCoder-15B
## Model Inro
NL2SQL-StarCoder-15B is a NLP-SQL model fintuned by QLoRA based on StarCoder 15B Code-LLM。
## Requirements
- python>=3.8
- pytorch>=2.0.0
- transformers==4.32.0
- CUDA 11.4
## Data Format
The data is in the form of a string spliced by the model in the training ... | {"license": "other", "frameworks": ["Pytorch"], "tasks": ["text-generation"]} | gabrielpondc/NL2SQL-StarCoder-15B | null | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"doi:10.57967/hf/2075",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T08:49:10+00:00 | [] | [] | TAGS
#transformers #pytorch #gpt_bigcode #text-generation #doi-10.57967/hf/2075 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for NL2SQL-StarCoder-15B
## Model Inro
NL2SQL-StarCoder-15B is a NLP-SQL model fintuned by QLoRA based on StarCoder 15B Code-LLM。
## Requirements
- python>=3.8
- pytorch>=2.0.0
- transformers==4.32.0
- CUDA 11.4
## Data Format
The data is in the form of a string spliced by the model in the training ... | [
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"TAGS\n#transformers #pytorch #gpt_bigcode #text-generation #doi-10.57967/hf/2075 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for NL2SQL-StarCoder-15B## Model Inro\n\nNL2SQL-StarCoder-15B is a NLP-SQL model fintuned by QLoRA based on StarCoder 15B ... |
reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforcecartpole-v1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"... | AdityaNerpagar/Reinforcecartpole-v1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-12T08:49:40+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
] | [
"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n",
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"TAGS\n#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing CartPole-v1\n This is a trained model of a Reinforce agent playing CartPole-v1 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Lear... |
text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** Mixtral_AI_CyberTron
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "LeroyDyer/Mixtral_AI_CyberTron"} | LeroyDyer/Mixtral_AI_CyberTron_Coder | null | [
"transformers",
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"mistral",
"text-generation",
"text-generation-inference",
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"base_model:LeroyDyer/Mixtral_AI_CyberTron",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T08:51:07+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mistral #text-generation #text-generation-inference #unsloth #trl #conversational #en #base_model-LeroyDyer/Mixtral_AI_CyberTron #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: LeroyDyer
- License: apache-2.0
- Finetuned from model : Mixtral_AI_CyberTron
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/> | [
"# Uploaded model\n\n- Developed by: LeroyDyer\n- License: apache-2.0\n- Finetuned from model : Mixtral_AI_CyberTron\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #text-generation-inference #unsloth #trl #conversational #en #base_model-LeroyDyer/Mixtral_AI_CyberTron #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: LeroyDyer\n- License: apache-2.0... | [
70,
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"TAGS\n#transformers #safetensors #mistral #text-generation #text-generation-inference #unsloth #trl #conversational #en #base_model-LeroyDyer/Mixtral_AI_CyberTron #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n# Uploaded model\n\n- Developed by: LeroyDyer\n- License: apache-2.0\n- Fi... |
null | null |
# DavidAU/CarbonVillain-v4-Sakura-Solar-Slerp-Q4_K_M-GGUF
This model was converted to GGUF format from [`Weyaxi/CarbonVillain-v4-Sakura-Solar-Slerp`](https://huggingface.co/Weyaxi/CarbonVillain-v4-Sakura-Solar-Slerp) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) ... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/CarbonVillain-v4-Sakura-Solar-Slerp-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T08:51:16+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/CarbonVillain-v4-Sakura-Solar-Slerp-Q4_K_M-GGUF
This model was converted to GGUF format from 'Weyaxi/CarbonVillain-v4-Sakura-Solar-Slerp' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL ser... | [
"# DavidAU/CarbonVillain-v4-Sakura-Solar-Slerp-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/CarbonVillain-v4-Sakura-Solar-Slerp' 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\nIn... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# DavidAU/CarbonVillain-v4-Sakura-Solar-Slerp-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/CarbonVillain-v4-Sakura-Solar-Slerp' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more det... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# DavidAU/CarbonVillain-v4-Sakura-Solar-Slerp-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'Weyaxi/CarbonVillain-v4-Sakura-Solar-Slerp' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details o... |
null | null |
# Vezora/Mistral-22B-v0.1 GGUFs created with an importance matrix
Source Model: [Vezora/Mistral-22B-v0.1](https://huggingface.co/Vezora/Mistral-22B-v0.1)
Quantized with [llama.cpp](https://github.com/ggerganov/llama.cpp) commit [5dc9dd7152dedc6046b646855585bd070c91e8c8](https://github.com/ggerganov/llama.cpp/commit/... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["mixtral", "merge", "importance matrix", "imatrix"], "base_model": "Vezora/Mistral-22B-v0.1", "model-index": [{"name": "Mistral-22B-v0.1-iMat-GGUF", "results": []}]} | qwp4w3hyb/Mistral-22B-v0.1-iMat-GGUF | null | [
"gguf",
"mixtral",
"merge",
"importance matrix",
"imatrix",
"fr",
"it",
"de",
"es",
"en",
"base_model:Vezora/Mistral-22B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T08:51:57+00:00 | [] | [
"fr",
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"de",
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#gguf #mixtral #merge #importance matrix #imatrix #fr #it #de #es #en #base_model-Vezora/Mistral-22B-v0.1 #license-apache-2.0 #region-us
|
# Vezora/Mistral-22B-v0.1 GGUFs created with an importance matrix
Source Model: Vezora/Mistral-22B-v0.1
Quantized with URL commit 5dc9dd7152dedc6046b646855585bd070c91e8c8 (master from 2024-04-09)
Imatrix was generated from the f16 gguf via this command:
./imatrix -c 512 -m $out_path/$base_quant_name -f $llama_cpp_... | [
"# Vezora/Mistral-22B-v0.1 GGUFs created with an importance matrix\n\nSource Model: Vezora/Mistral-22B-v0.1\n\nQuantized with URL commit 5dc9dd7152dedc6046b646855585bd070c91e8c8 (master from 2024-04-09)\n\nImatrix was generated from the f16 gguf via this command:\n\n./imatrix -c 512 -m $out_path/$base_quant_name -f... | [
"TAGS\n#gguf #mixtral #merge #importance matrix #imatrix #fr #it #de #es #en #base_model-Vezora/Mistral-22B-v0.1 #license-apache-2.0 #region-us \n",
"# Vezora/Mistral-22B-v0.1 GGUFs created with an importance matrix\n\nSource Model: Vezora/Mistral-22B-v0.1\n\nQuantized with URL commit 5dc9dd7152dedc6046b646855585... | [
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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. -->
# sqlm
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Inst... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "sqlm", "results": []}]} | Sreenath/sqlm | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T08:51:57+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| sqlm
====
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3168
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information... | [
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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": []} | daqc/gemma-2b-it-emergencIA-es-merged | null | [
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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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | borjasoutoprego/donut-base-sroie | null | [
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"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T08:54:49+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
"# donut-base-sroie\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.",
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text-generation | transformers |
# Orpomis-Prime-7B
Orpomis-Prime-7B is a merge of the following models using [Mergekit](https://github.com/arcee-ai/mergekit):
- [kaist-ai/mistral-orpo-beta](https://huggingface.co/kaist-ai/mistral-orpo-beta)
- [NousResearch/Hermes-2-Pro-Mi... | {"tags": ["merge", "mergekit"]} | saucam/Orpomis-Prime-7B | null | [
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"mistral",
"text-generation",
"merge",
"mergekit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T08:54:59+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
![](URL
# Orpomis-Prime-7B
Orpomis-Prime-7B is a merge of the following models using Mergekit:
- kaist-ai/mistral-orpo-beta
- NousResearch/Hermes-2-Pro-Mistral-7B
- alpindale/Mistral-7B-v0.2-hf
## Configuration
## Usage
## Sample Run
| [
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"TAGS\n#transformers #safetensors #mistral #text-generation #merge #mergekit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Orpomis-Prime-7B\n\nOrpomis-Prime-7B is a merge of the following models using Mergekit:\n\n- kaist-ai/mistral-orpo-beta\n- NousResearch/Hermes-2-Pro-Mist... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Reza-Barati/distilbert-base-uncased-finetuned-for-phishing-detection
This model is a fine-tuned version of [distilbert-base-uncased](h... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "Reza-Barati/distilbert-base-uncased-finetuned-for-phishing-detection", "results": []}]} | Reza-Barati/distilbert-base-uncased-finetuned-for-phishing-detection | null | [
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"license:apache-2.0",
"autotrain_compatible",
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| Reza-Barati/distilbert-base-uncased-finetuned-for-phishing-detection
====================================================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0173
* Validation Lo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
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text-generation | transformers |
# Multimerge-12B-MoE
Multimerge-12B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp)
... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/limyClown-7B-slerp"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/limyClown-7B-slerp"]} | allknowingroger/Multimerge-12B-MoE | null | [
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"base_model:allknowingroger/limyClown-... | null | 2024-04-12T08:55:55+00:00 | [] | [] | TAGS
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# Multimerge-12B-MoE
Multimerge-12B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* allknowingroger/MultiverseEx26-7B-slerp
* allknowingroger/limyClown-7B-slerp
## Configuration
## Usage
| [
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null | null |
# DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q4_K_M-GGUF
This model was converted to GGUF format from [`Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp`](https://huggingface.co/Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-... | {"license": "apache-2.0", "tags": ["merge", "llama-cpp", "gguf-my-repo"], "base_model": ["teknium/OpenHermes-2.5-Mistral-7B", "Intel/neural-chat-7b-v3-3"], "model-index": [{"name": "OpenHermes-2.5-neural-chat-v3-3-Slerp", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "... | DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q4_K_M-GGUF | null | [
"gguf",
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"license:apache-2.0",
"model-index",
"region:us"
] | null | 2024-04-12T08:57:07+00:00 | [] | [] | TAGS
#gguf #merge #llama-cpp #gguf-my-repo #base_model-teknium/OpenHermes-2.5-Mistral-7B #base_model-Intel/neural-chat-7b-v3-3 #license-apache-2.0 #model-index #region-us
|
# DavidAU/OpenHermes-2.5-neural-chat-v3-3-Slerp-Q4_K_M-GGUF
This model was converted to GGUF format from 'Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL... | [
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object-detection | 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. -->
# detr_v1
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the N... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr_v1", "results": []}]} | ssamperr/detr_v1 | null | [
"transformers",
"tensorboard",
"safetensors",
"detr",
"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T08:57:16+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
|
# detr_v1
This model is a fine-tuned version of facebook/detr-resnet-50 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fol... | [
"# detr_v1\n\nThis model is a fine-tuned version of facebook/detr-resnet-50 on the None dataset.",
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"## Training and evaluation data\n\nMore information needed",
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"### Tra... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HeydarS/stable_lm2_EQ_peft_v52 | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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. -->
# P7EjOpc1-MecAt
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on Hausa [VOA... | {"license": "apache-2.0", "tags": ["classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "P7EjOpc1-MecAt", "results": []}]} | pamunarr/P7EjOpc1-MecAt | null | [
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"bert",
"text-classification",
"classification",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
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] | null | 2024-04-12T08:58:25+00:00 | [] | [] | TAGS
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| P7EjOpc1-MecAt
==============
This model is a fine-tuned version of bert-base-uncased on Hausa VOA topics dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5860
* Accuracy: 0.8333
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
"TAGS\n#transformers #safetensors #bert #text-classification #classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #region-us \n",
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text-generation | transformers |
# stablelm-2-zephyr-1_6b_psth
JPMixModel-test37 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [stabilityai/stablelm-2-zephyr-1_6b](https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b)
* [stabilityai/stablelm-2-ze... | {"tags": ["merge", "mergekit", "lazymergekit", "stabilityai/stablelm-2-zephyr-1_6b"], "base_model": ["stabilityai/stablelm-2-zephyr-1_6b", "stabilityai/stablelm-2-zephyr-1_6b"]} | aipib/stablelm-2-zephyr-1_6b_psthx4 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T09:00:04+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #merge #mergekit #lazymergekit #stabilityai/stablelm-2-zephyr-1_6b #conversational #base_model-stabilityai/stablelm-2-zephyr-1_6b #autotrain_compatible #endpoints_compatible #region-us
|
# stablelm-2-zephyr-1_6b_psth
JPMixModel-test37 is a merge of the following models using LazyMergekit:
* stabilityai/stablelm-2-zephyr-1_6b
* stabilityai/stablelm-2-zephyr-1_6b
## Configuration
## Usage
| [
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feature-extraction | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetuned_bge_ver8
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver8", "results": []}]} | comet24082002/finetuned_bge_ver8 | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"feature-extraction",
"generated_from_trainer",
"base_model:BAAI/bge-m3",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T09:00:27+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_ver8
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 fo... | [
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"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Tr... | [
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text-to-image | diffusers | Model info:
https://civitai.com/models/87906/k-main
https://civitai.com/models/87906?modelVersionId=355353
| {"license": "other", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "inference": true} | digiplay/K-main_NEO | null | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:other",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-12T09:01:33+00:00 | [] | [] | TAGS
#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-other #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us
| Model info:
URL
URL
| [] | [
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] |
text-generation | transformers |
# Lumina-3
Lumina-3 is a Mixture of Experts (MoE) using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing).
This model uses a context window of up to 32k.
## 🏆 Open LLM Leaderboard Evaluation Results
| Metric |Value|
|--------------------... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit"]} | Ppoyaa/Lumina-3 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T09:04:23+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Lumina-3
========
Lumina-3 is a Mixture of Experts (MoE) using LazyMergekit.
This model uses a context window of up to 32k.
Open LLM Leaderboard Evaluation Results
---------------------------------------
Quants
======
Special thanks to GGUFs made by mradermacher
* mradermacher/Lumina-3-GGUF
Usage
-----
| [] | [
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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. -->
# coinplusfire_llm
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "coinplusfire_llm", "results": []}]} | coinplusfire/coinplusfire_llm | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T09:04:38+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| coinplusfire\_llm
=================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0778
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | null | # Introduction
This model is converted from
https://modelscope.cn/models/iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/summary
The commands to generate the onnx model are given below:
```
pip install funasr modelscope
pip install kaldi-native-fbank torchaudio onnx onnxruntime
mkdir -p /tmp/models
cd /tmp... | {} | csukuangfj/sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12 | null | [
"onnx",
"has_space",
"region:us"
] | null | 2024-04-12T09:06:41+00:00 | [] | [] | TAGS
#onnx #has_space #region-us
| # Introduction
This model is converted from
URL
The commands to generate the onnx model are given below:
You will find the exported
'URL' file inside
'/tmp/models/punc_ct-transformer_zh-cn-common-vocab272727-pytorch'.
Now you can use ./URL in this repo to add metadata to the generated
'URL'.
Note that we don't p... | [
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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... | ExileSaber/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-12T09:08:41+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-chat-75000-25-75-L
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-ll... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-75000-25-75-L", "results": []}]} | Niyantha23M/llama-7b-chat-75000-25-75-L | null | [
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-12T09:09:24+00:00 | [] | [] | TAGS
#trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# llama-7b-chat-75000-25-75-L
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## ... | [
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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"]} | OlejnikM/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-12T09:11:35+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
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 [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["beowolx/CodeNinja-1.0-OpenChat-7B", "mistralai/Mistral-7B-v0.1", "mistralai/Mistral-7B-Instruct-v0.1", "Open-Orca/Mistral-7B-OpenOrca"]} | jpquiroga/Mistral_7B_ties_merge_instruct_open_orca_codeninja | null | [
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"license:ap... | null | 2024-04-12T09:12:35+00:00 | [
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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 mistralai/Mistral-7B-v0.1 as a base.
### Models Merged
The following models were included in the merge:
* beowolx/CodeNinja-1.0-OpenChat-7B
* mist... | [
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null | null |
# CohereForAI/c4ai-command-r-plus GGUFs created with an importance matrix
Source Model: [CohereForAI/c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
Quantized with [llama.cpp](https://github.com/ggerganov/llama.cpp) commit [5dc9dd7152dedc6046b646855585bd070c91e8c8](https://github.com/gge... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "tags": ["cohere", "commandr", "instruct", "finetune", "function calling", "importance matrix", "imatrix"], "base_model": "CohereForAI/c4ai-command-r-plus", "model-index": [{"name": "c4ai-command-r-plus-iMat-GGUF", "re... | qwp4w3hyb/c4ai-command-r-plus-iMat-GGUF | null | [
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|
# CohereForAI/c4ai-command-r-plus GGUFs created with an importance matrix
Source Model: CohereForAI/c4ai-command-r-plus
Quantized with URL commit 5dc9dd7152dedc6046b646855585bd070c91e8c8 (master from 2024-04-09)
Imatrix was generated from the f16 gguf via this command:
./imatrix -c 512 -m $out_path/$base_quant_nam... | [
"# CohereForAI/c4ai-command-r-plus GGUFs created with an importance matrix\n\nSource Model: CohereForAI/c4ai-command-r-plus\n\nQuantized with URL commit 5dc9dd7152dedc6046b646855585bd070c91e8c8 (master from 2024-04-09)\n\nImatrix was generated from the f16 gguf via this command:\n\n./imatrix -c 512 -m $out_path/$ba... | [
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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": []} | Prazzwal07/en_email_gen_v1 | null | [
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"t5",
"text2text-generation",
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"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]:
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- License... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# keti-t5-finetuned-summary-v3
This model is a fine-tuned version of [hsshssh/keti-t5-finetuned-summary-v3](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "hsshssh/keti-t5-finetuned-summary-v3", "model-index": [{"name": "keti-t5-finetuned-summary-v3", "results": []}]} | hsshssh/keti-t5-finetuned-summary-v3 | null | [
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-12T09:15:40+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-hsshssh/keti-t5-finetuned-summary-v3 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# keti-t5-finetuned-summary-v3
This model is a fine-tuned version of hsshssh/keti-t5-finetuned-summary-v3 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
"# keti-t5-finetuned-summary-v3\n\nThis model is a fine-tuned version of hsshssh/keti-t5-finetuned-summary-v3 on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# PolizzeDonut-ChangeRequest-imm5epochs-234img
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingfa... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-ChangeRequest-imm5epochs-234img", "results": []}]} | tedad09/PolizzeDonut-ChangeRequest-imm5epochs-234img | null | [
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|
# PolizzeDonut-ChangeRequest-imm5epochs-234img
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
"# PolizzeDonut-ChangeRequest-imm5epochs-234img\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jukofyork/Eurus-70b-nca-fixed
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Eurus-70b-n... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["reasoning", "preference_learning", "nca"], "datasets": ["openbmb/UltraInteract_pair", "openbmb/UltraFeedback"], "base_model": "jukofyork/Eurus-70b-nca-fixed", "quantized_by": "mradermacher"} | mradermacher/Eurus-70b-nca-fixed-GGUF | null | [
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| 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. ... | [] | [
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] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model_lenatt
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_model_lenatt", "results": []}]} | lenate/my_awesome_model_lenatt | null | [
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] | null | 2024-04-12T09:17:39+00:00 | [] | [] | TAGS
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| my\_awesome\_model\_lenatt
==========================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6107
* Accuracy: 0.9388
Model description
-----------------
More information needed
Intended ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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. -->
# fine_tuned_roberta
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-ba... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "metrics": ["code_eval"], "base_model": "deepset/roberta-base-squad2", "pipeline_tag": "question-answering", "model-index": [{"name": "fine_tuned_roberta", "results": []}]} | steffipriyanka/fine_tuned_roberta | null | [
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"license:cc-by-4.0",
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] | null | 2024-04-12T09:18:34+00:00 | [] | [] | TAGS
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|
# fine_tuned_roberta
This model is a fine-tuned version of deepset/roberta-base-squad2 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 hyperpa... | [
"# fine_tuned_roberta\n\nThis model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset.",
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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_codedoc_finetuned
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mist... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "mistral_codedoc_finetuned", "results": []}]} | asthomas/mistral_codedoc_finetuned | null | [
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"dataset:generator",
"base_model:mistralai/Mistral-7B-Instruct-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-12T09:19:01+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-Instruct-v0.1 #license-apache-2.0 #region-us
| mistral\_codedoc\_finetuned
===========================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9683
Model description
-----------------
More information needed
Intended uses & limitat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\n* lr\\_scheduler\\_warmup\\_step... | [
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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": []} | Imcf1Y3FSatM/gpt_neox_0.125B_global_step36000 | null | [
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"gpt2",
"text-generation",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | ---
<p align="center">
</p>
<p align="center"><a href="https://github.com/UT-LM/UT-LM">[🏠Homepage]</a> | <a href="https://github.com/UT-LM/UT-LM">[🤖 UniTest using UT-LM]</a> </p>
<hr>
### 1. Introduction of UT-LM-7B
- **Repository:** [UT-LM/UT-LM](https://github.com/UT-LM/UT-LM)
### 2. Evaluation Results
B... | {"license": "apache-2.0"} | Arain/UT-LM-7B | null | [
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"region:us"
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#transformers #pytorch #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ---
<p align="center">
</p>
<p align="center"><a href="URL | <a href="URL UniTest using UT-LM]</a> </p>
<hr>
### 1. Introduction of UT-LM-7B
- Repository: UT-LM/UT-LM
### 2. Evaluation Results
Based on the $MLFT$ and the $SFRL$ training framework, we trained two unit test models (UT-LM-7b and UT-LM-33b), one... | [
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"### 4. License\... | [
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text-generation | transformers | # Mistral-7B-Holodeck-1-Instruct-32k
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
Merge script copied from this [ichigoberry/pandafish-2-7b-32k](https://huggingface.co/ichigoberry/pandafish-2-7b-32k).
## Merge Details
### Merge Method
This model was mer... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["alpindale/Mistral-7B-v0.2-hf", "mistralai/Mistral-7B-Instruct-v0.2", "KoboldAI/Mistral-7B-Holodeck-1"]} | mpasila/Mistral-7B-Holodeck-1-Instruct-32k | null | [
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"endpoint... | null | 2024-04-12T09:27:40+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
Merge script copied from this ichigoberry/pandafish-2-7b-32k.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using alpindale/Mistral-7B-v0.2-hf as a base.
### Models... | [
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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... | krisha-n/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"deep-reinforcement-learning",
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"model-index",
"region:us"
] | null | 2024-04-12T09:28:20+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... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-chat-75000-50-50-L
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-ll... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-75000-50-50-L", "results": []}]} | Niyantha23M/llama-7b-chat-75000-50-50-L | null | [
"trl",
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"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-12T09:30:17+00:00 | [] | [] | TAGS
#trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# llama-7b-chat-75000-50-50-L
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | PraveenPandey/donut-base-sroie | null | [
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-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 hyperparame... | [
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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": []} | Vxnkyyyyy/distilbert-lora-finetuned-unmerged-imdb-sentiment | null | [
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|
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null | null |
# ClaudioItaly/DolphinStar-12.5B-Q4_K_M-GGUF
This model was converted to GGUF format from [`Noodlz/DolphinStar-12.5B`](https://huggingface.co/Noodlz/DolphinStar-12.5B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:/... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | ClaudioItaly/DolphinStar-12.5B-Q4_K_M-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# ClaudioItaly/DolphinStar-12.5B-Q4_K_M-GGUF
This model was converted to GGUF format from 'Noodlz/DolphinStar-12.5B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server... | [
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null | null | GGUF quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
gemma-1.1-7b-it - GGUF
- Model creator: https://huggingface.co/google/
- Original model: https://huggingface.co/google/... | {} | RichardErkhov/google_-_gemma-1.1-7b-it-gguf | null | [
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#gguf #region-us
| GGUF quantization made by Richard Erkhov.
Github
Discord
Request more models
gemma-1.1-7b-it - GGUF
* Model creator: URL
* Original model: URL
Name: gemma-1.1-7b-it.Q2\_K.gguf, Quant method: Q2\_K, Size: 3.24GB
Name: gemma-1.1-7b-it.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 3.54GB
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712914320389x964801214811976800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A photo of TOK
```
Use this keyword to trigger your custom model in your prompts.... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["jamine23/jbr"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of TOK", "inference": false} | squaadinc/1712914320389x964801214811976800 | null | [
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"region:us"
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|
# LoRA DreamBooth - squaadinc/1712914320389x964801214811976800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
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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": []} | aniket-jain-9/distilbert-lora-finetuned-unmerged-imdb-sentiment | 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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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:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch"]} | bunnycore/mergekit-slerp-lncxbsv | null | [
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"endpoints_compatible",
"text-generation-inference... | null | 2024-04-12T09:34:36+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:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
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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. -->
# bert-base-uncased-finetuned-github_cybersecurity_READMEs
This model is a fine-tuned version of [bert-base-uncased](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-base-uncased-finetuned-github_cybersecurity_READMEs", "results": []}]} | sickcell69/bert-base-uncased-finetuned-github_cybersecurity_READMEs | null | [
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| bert-base-uncased-finetuned-github\_cybersecurity\_READMEs
==========================================================
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: 2.2291
* Accuracy: 0.6479
Model description
--------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | FrFrey/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-12T09:37:16+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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] |
object-detection | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anilgs/detr-finetuned-qto-v1 | null | [
"transformers",
"safetensors",
"detr",
"object-detection",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T09:38:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #detr #object-detection #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="chirbard/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"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": ... | chirbard/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-12T09:38:35+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
text-generation | transformers |
<img src="https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/resolve/main/logo.png" alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Zephyr 141B-A35B
Zephyr is a series of language models that are trained to act as helpful assistants. ... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}]} | blockblockblock/zephyr-orpo-141b-A35b-v0.1-bpw2.25 | null | [
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Model Card for Zephyr 141B-A35B
===============================
Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr 141B-A35B is the latest model in the series, a... | [
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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="chirbard/q-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": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/... | chirbard/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
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] | null | 2024-04-12T09:42:00+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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] |
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. -->
# bert-base-spanish-wwm-uncased-finetuned-github_cybersecurity_READMEs
This model is a fine-tuned version of [dccuchile/bert-base-... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "dccuchile/bert-base-spanish-wwm-uncased", "model-index": [{"name": "bert-base-spanish-wwm-uncased-finetuned-github_cybersecurity_READMEs", "results": []}]} | sickcell69/bert-base-spanish-wwm-uncased-finetuned-github_cybersecurity_READMEs | null | [
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] | null | 2024-04-12T09:42:40+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #fill-mask #generated_from_trainer #base_model-dccuchile/bert-base-spanish-wwm-uncased #autotrain_compatible #endpoints_compatible #region-us
| bert-base-spanish-wwm-uncased-finetuned-github\_cybersecurity\_READMEs
======================================================================
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3626
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\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. -->
# my_awesome_model_priority_2
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_model_priority_2", "results": []}]} | lenate/my_awesome_model_priority_2 | null | [
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| my\_awesome\_model\_priority\_2
===============================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0492
* Accuracy: 0.9938
Model description
-----------------
More information needed
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | oscarmv/math-expressions-strings | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Vxnkyyyyy/distilbert-lora-finetuned-merged-imdb-sentiment | null | [
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"text-classification",
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"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | luozhuanggary/GOAT-v0.2-Mistral-7B-QC | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# T3qm7xpNeuralsynthesis-7B
T3qm7xpNeuralsynthesis-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [Kukedlc/NeuralSynthesis-7b-v0.4-slerp](https://huggingface.co/Kukedlc/NeuralSynthesis-7b-v0.4-slerp)
## 🧩 Configuration
```yaml
models:
- mo... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["Kukedlc/NeuralSynthesis-7b-v0.4-slerp"]} | automerger/T3qm7xpNeuralsynthesis-7B | null | [
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|
# T3qm7xpNeuralsynthesis-7B
T3qm7xpNeuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
* Kukedlc/NeuralSynthesis-7b-v0.4-slerp
## Configuration
## Usage
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | aniket-jain-9/distilbert-lora-finetuned-merged-imdb-sentiment | null | [
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"1910.09700"
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#transformers #safetensors #distilbert #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # Mistral-7B-Erebus-v3-Instruct-32k
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
Merge script copied from this [ichigoberry/pandafish-2-7b-32k](https://huggingface.co/ichigoberry/pandafish-2-7b-32k).
## Merge Details
### Merge Method
This model was merg... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["alpindale/Mistral-7B-v0.2-hf", "mistralai/Mistral-7B-Instruct-v0.2", "KoboldAI/Mistral-7B-Erebus-v3"]} | mpasila/Mistral-7B-Erebus-v3-Instruct-32k | null | [
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"text-generation",
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This is a merge of pre-trained language models created using mergekit.
Merge script copied from this ichigoberry/pandafish-2-7b-32k.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using alpindale/Mistral-7B-v0.2-hf as a base.
### Models ... | [
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null | null |
## Train-data 
## Test-data ![](https://huggingface.co/thonypythony/pretrainedneurostegoanalyzator/resolve... | {"license": "wtfpl"} | thonypythony/pretrainedneurostegoanalyzator | null | [
"license:wtfpl",
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#license-wtfpl #region-us
|
![](URL
## Train-data ![](URL
## Test-data ![](URL
![](URL
![](URL
![](URL
# Source
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
model = load_from_hub(repo_id="davmel/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
| {"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": ... | davmel/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
model = load_from_hub(repo_id="davmel/q-FrozenLake-v1-4x4-noSlippery", filename="URL")
| [
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null | null | Use the ToolsBaer EDB to PST Conversion Tool for converting Exchange EDB to Outlook PST format in just a matter of seconds. Applications for converting EDB to PST files can easily handle EDB files of any size or quality. One of its many benefits is the ease with which EDB files can be imported into a particular Outlook... | {} | madelineoliver/ToolsBaer-EDB-to-PST-Conversion | null | [
"region:us"
] | null | 2024-04-12T09:58:25+00:00 | [] | [] | TAGS
#region-us
| Use the ToolsBaer EDB to PST Conversion Tool for converting Exchange EDB to Outlook PST format in just a matter of seconds. Applications for converting EDB to PST files can easily handle EDB files of any size or quality. One of its many benefits is the ease with which EDB files can be imported into a particular Outlook... | [] | [
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text-classification | bertopic |
# bertopic-crypto-topic-modeling
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install ... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | iMahdiGhazavi/bertopic-crypto-topic-modeling | null | [
"bertopic",
"text-classification",
"region:us"
] | null | 2024-04-12T10:01:01+00:00 | [] | [] | TAGS
#bertopic #text-classification #region-us
| bertopic-crypto-topic-modeling
==============================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as ... | [] | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model_priority_3
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_model_priority_3", "results": []}]} | lenate/my_awesome_model_priority_3 | null | [
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| my\_awesome\_model\_priority\_3
===============================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1090
* Accuracy: 0.9875
Model description
-----------------
More information needed
... | [
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text-generation | transformers |
# SmartToxic-7B
SmartToxic-7B is a creative and smart language model designed to provide users with engaging and satisfying responses. This model is a merger of several high-performing models, resulting in a unique blend of capabilities. While the model is not uncensored, it aims to maintain a balance between creativ... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"]} | bunnycore/SmartToxic-7B | null | [
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|
# SmartToxic-7B
SmartToxic-7B is a creative and smart language model designed to provide users with engaging and satisfying responses. This model is a merger of several high-performing models, resulting in a unique blend of capabilities. While the model is not uncensored, it aims to maintain a balance between creativ... | [
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null | adapter-transformers |
# Adapter `jgrc3/RobertaAdapter_reviews_DAPT_v1` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_split_25M_reviews_20_percent_condensed](https://huggingface.co/datasets/BigTMiami/amazon_split_25M_reviews_20_percent_condensed/) dataset.
This ... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_split_25M_reviews_20_percent_condensed"]} | jgrc3/RobertaAdapter_reviews_DAPT_v1 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_split_25M_reviews_20_percent_condensed",
"region:us"
] | null | 2024-04-12T10:08:43+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us
|
# Adapter 'jgrc3/RobertaAdapter_reviews_DAPT_v1' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
Now, the adapter ca... | [
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text-classification | sklearn |
# Model description
Suicide Detection text classification model.
PYTHON 3.10 ONLY
## Training Procedure
Trained using 0.7 of the the Suicide and Depression Detection dataset (https://www.kaggle.com/datasets/nikhileswarkomati/suicide-watch)
The model vectorises each text using a trained tfidf vectorizer and the... | {"license": "mit", "library_name": "sklearn", "tags": ["sklearn", "skops", "text-classification"], "model_format": "pickle", "model_file": "model.pkl"} | AndyJamesTurner/suicideDetector | null | [
"sklearn",
"skops",
"text-classification",
"license:mit",
"region:us"
] | null | 2024-04-12T10:08:45+00:00 | [] | [] | TAGS
#sklearn #skops #text-classification #license-mit #region-us
| Model description
=================
Suicide Detection text classification model.
PYTHON 3.10 ONLY
Training Procedure
------------------
Trained using 0.7 of the the Suicide and Depression Detection dataset (URL
The model vectorises each text using a trained tfidf vectorizer and then classifies using xgboost.
... | [
"### Hyperparameters\n\n\n\n Click to expand",
"### Model Plot"
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null | transformers |
# Uploaded model
- **Developed by:** ramachaitanya22
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | ramachaitanya22/mistral-7B-ft-health-fitness-v4-lora-adapters | null | [
"transformers",
"safetensors",
"text-generation-inference",
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"trl",
"en",
"base_model:unsloth/mistral-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T10:08:58+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: ramachaitanya22
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: ramachaitanya22\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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