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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": []} | Yasusan/Llama2_0409_v2 | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T14:25:50+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Yasusan/Llama2_0412 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T14:26:27+00:00 | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Morgan711
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achiev... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "Morgan711", "results": []}]} | Morgan711/Morgan711 | null | [
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#transformers #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Morgan711
=========
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2535
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Tr... | [
"### 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",
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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-b2-fashion
This model is a fine-tuned version of [nvidia/mit-b2](https://huggingface.co/nvidia/mit-b2) on the sayeed99... | {"license": "other", "tags": ["vision", "image-segmentation", "generated_from_trainer"], "datasets": ["sayeed99/fashion_segmentation"], "widget": [{"src": "https://media.istockphoto.com/id/515788534/photo/cheerful-and-confidant.jpg?s=612x612&w=0&k=20&c=T0Z4DfameRpyGhzevPomrm-wjZp7wmGjpAyjGcTzpkA=", "example_title": "Pe... | sayeed99/segformer-b2-fashion | null | [
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"arxiv:2105.15203",
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"endpoints_compatible",
"region:us"
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|
# segformer-b2-fashion
This model is a fine-tuned version of nvidia/mit-b2 on the sayeed99/fashion_segmentation dataset.
Labels : {"0":"Everything Else", "1": "shirt, blouse", "2": "top, t-shirt, sweatshirt", "3": "sweater", "4": "cardigan", "5": "jacket", "6": "vest", "7": "pants", "8": "shorts", "9": "skirt",... | [
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null | null |
# ybelkada/TinyLlama-1.1B-Chat-v1.0-Q4_0-GGUF
This model was converted to GGUF format from [`TinyLlama/TinyLlama-1.1B-Chat-v1.0`](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origina... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["cerebras/SlimPajama-627B", "bigcode/starcoderdata", "HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized"], "widget": [{"example_title": "Fibonacci (Python)", "messages": [{"role": "system", "content": "... | ybelkada/TinyLlama-1.1B-Chat-v1.0-Q4_0-GGUF | null | [
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"license:apache-2.0",
"region:us"
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"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-cerebras/SlimPajama-627B #dataset-bigcode/starcoderdata #dataset-HuggingFaceH4/ultrachat_200k #dataset-HuggingFaceH4/ultrafeedback_binarized #license-apache-2.0 #region-us
|
# ybelkada/TinyLlama-1.1B-Chat-v1.0-Q4_0-GGUF
This model was converted to GGUF format from 'TinyLlama/TinyLlama-1.1B-Chat-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/facebook-opt-125m-HQQ-1bit-smashed | null | [
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#transformers #opt #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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": "mistralai/Mistral-7B-v0.1"} | mille055/duke_chatbot0412_adapter | null | [
"peft",
"safetensors",
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"base_model:mistralai/Mistral-7B-v0.1",
"region:us"
] | null | 2024-04-12T14:36:26+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-mistralai/Mistral-7B-v0.1 #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-generation | transformers | Cooking assistant trained on my own dataset.
Training code: https://github.com/jdecourval/chef-ai/ | {"license": "apache-2.0"} | jdecourval/chef-ai | null | [
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"safetensors",
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#transformers #safetensors #gguf #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Cooking assistant trained on my own dataset.
Training code: URL | [] | [
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video-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. -->
# videomae-base-finetuned-kinetics-finetuned-data-no-yolo-colab
This model is a fine-tuned version of [MCG-NJU/videomae-base-finet... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base-finetuned-kinetics", "model-index": [{"name": "videomae-base-finetuned-kinetics-finetuned-data-no-yolo-colab", "results": []}]} | bluebird089/videomae-base-finetuned-kinetics-finetuned-data-no-yolo-colab | null | [
"transformers",
"tensorboard",
"safetensors",
"videomae",
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"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T14:38:37+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #videomae #video-classification #generated_from_trainer #base_model-MCG-NJU/videomae-base-finetuned-kinetics #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| videomae-base-finetuned-kinetics-finetuned-data-no-yolo-colab
=============================================================
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3187
* Accuracy: 0.9237... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 9e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n*... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="BecTome/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"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": ... | BecTome/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-12T14:39:33+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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] |
video-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. -->
# videomae-base-finetuned-kinetics-finetuned-data-no-yolo-kaggle
This model is a fine-tuned version of [MCG-NJU/videomae-base-fine... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base-finetuned-kinetics", "model-index": [{"name": "videomae-base-finetuned-kinetics-finetuned-data-no-yolo-kaggle", "results": []}]} | bluebird089/videomae-base-finetuned-kinetics-finetuned-data-no-yolo-kaggle | null | [
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"license:cc-by-nc-4.0",
"endpoints_compatible",
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| videomae-base-finetuned-kinetics-finetuned-data-no-yolo-kaggle
==============================================================
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4866
* Accuracy: 0.90... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 9e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/Voicelab-trurl-2-7b-GPTQ-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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text-to-image | diffusers |
# Blue_pencil_v6 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "bluepencilv6"
Coding... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/bluepencilv6 | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-12T14:48:02+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Blue_pencil_v6 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "bluepencilv6"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: Vi... | [
"# Blue_pencil_v6 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"bluepencilv6\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate I... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# Blue_pencil_v6 API Inference\n\n!generated from URL",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc28 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T14:48:20+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | subbu3/invoices | null | [
"transformers",
"safetensors",
"vision-encoder-decoder",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #vision-encoder-decoder #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 |
<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-bpw3.5 | null | [
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"... | null | 2024-04-12T14:50:32+00:00 | [
"2403.07691",
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] | [] | TAGS
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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... | [
"### Model Description\n\n\n* Model type: A Mixture of Experts (MoE) model with 141B total parameters and 35B active parameters. Fine-tuned on a mix of publicly available, synthetic datasets.\n* Language(s) (NLP): Primarily English.\n* License: Apache 2.0\n* Finetuned from model: mistral-community/Mixtral-8x22B-v0.... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #trl #orpo #generated_from_trainer #conversational #dataset-argilla/distilabel-capybara-dpo-7k-binarized #arxiv-2403.07691 #arxiv-2311.07911 #base_model-mistral-community/Mixtral-8x22B-v0.1 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #t... | [
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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": []} | relu-ntnu/pegasus-xsum_v0_trained_on_100 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T14:52:04+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-image | diffusers |
# anima_pencil-XL-v3 API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "animapencil-xl-v... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/animapencil-xl-v3 | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-12T14:53:07+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# anima_pencil-XL-v3 API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "animapencil-xl-v3"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model... | [
"# anima_pencil-XL-v3 API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"animapencil-xl-v3\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: G... | [
"TAGS\n#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# anima_pencil-XL-v3 API Inference\n\n!generated from URL",
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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. -->
# Richatte2000/my_awesome_model
This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camember... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "almanach/camembert-base", "model-index": [{"name": "Richatte2000/my_awesome_model", "results": []}]} | Richatte2000/my_awesome_model | null | [
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"tf",
"camembert",
"text-classification",
"generated_from_keras_callback",
"base_model:almanach/camembert-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T14:53:25+00:00 | [] | [] | TAGS
#transformers #tf #camembert #text-classification #generated_from_keras_callback #base_model-almanach/camembert-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| Richatte2000/my\_awesome\_model
===============================
This model is a fine-tuned version of almanach/camembert-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.4740
* Validation Loss: 0.4261
* Train Accuracy: 0.8116
* Epoch: 1
Model description
-------... | [
"### 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': Fal... | [
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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:** DreamOnRain
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Informat... | {"language": ["en"], "library_name": "peft", "datasets": ["Abirate/english_quotes"], "base_model": "state-spaces/mamba-1.4b-hf"} | DreamOnRain/mamba-1.4b-hf-quotes | null | [
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"safetensors",
"en",
"dataset:Abirate/english_quotes",
"arxiv:1910.09700",
"base_model:state-spaces/mamba-1.4b-hf",
"has_space",
"region:us"
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"1910.09700"
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#peft #safetensors #en #dataset-Abirate/english_quotes #arxiv-1910.09700 #base_model-state-spaces/mamba-1.4b-hf #has_space #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by: DreamOnRain
- Funded by [optional]:
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- Model type: mamba-1.4b-hf
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- Finetuned from model [optional]: Abirate/english_quotes
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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": []} | relu-ntnu/pegasus-xsum_v1_trained_on_100 | 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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text-generation | transformers | <!-- header start -->
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text-classification | bertopic |
# impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_13_prob
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 mode... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | RolMax/impf_ukrain_postcov_all_sns_topics_umap_lok_hdbscan_lok_ctfidf_seed_13_prob | null | [
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| impf\_ukrain\_postcov\_all\_sns\_topics\_umap\_lok\_hdbscan\_lok\_ctfidf\_seed\_13\_prob
========================================================================================
This is a BERTopic model.
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text-generation | transformers |
<img align="right" src="https://huggingface.co/Tweeties/tweety-tatar-base-7b-2024-v1/resolve/main/TweetyTatar.png?download=true" alt="Tweety-Tatar-7B: A Tatar Large Language Model" width="20%">
# Tweety Tatar / Hydra-MT 7b / 2024-v1
## Model description
This model is our Hydra LLM for the [Tatar language](https://en... | {"language": ["tt", "en", "de", "fr", "zh", "pt", "nl", "ru", "ko", "it", "es"], "license": "cc-by-nc-4.0", "tags": ["tweety"], "datasets": ["oscar-corpus/OSCAR-2301"], "base_model": "Unbabel/TowerInstruct-7B-v0.1"} | Tweeties/tweety-tatar-hydra-mt-7b-2024-v1 | null | [
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<img align="right" src="URL alt="Tweety-Tatar-7B: A Tatar Large Language Model" width="20%">
# Tweety Tatar / Hydra-MT 7b / 2024-v1
## Model description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/nly17bl | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on t... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "microsoft/deberta-v3-base", "model-index": [{"name": "results", "results": []}]} | kbaumgartner/DeBERTa_Finetuned_Financial_News | null | [
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| results
=======
This model is a fine-tuned version of microsoft/deberta-v3-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5933
* Accuracy: 0.8596
* F1: 0.8420
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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text-to-speech | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speecht5_finetuned_voxpopuli_accented_en_de
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.c... | {"language": ["en"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["facebook/voxpopuli"], "base_model": "microsoft/speecht5_tts", "pipeline_tag": "text-to-speech", "model-index": [{"name": "speecht5_finetuned_voxpopuli_accented_en_de", "results": []}]} | constantinSch/speecht5_finetuned_voxpopuli_accented_en_de | null | [
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| speecht5\_finetuned\_voxpopuli\_accented\_en\_de
================================================
This model is a fine-tuned version of microsoft/speecht5\_tts on the Voxpopuli dataset.
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* Loss: 0.4991
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-----------------
More information n... | [
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text-generation | transformers | <!-- header start -->
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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![Twitter](URL
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text-generation | transformers | <!-- header start -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/wangrongsheng-MiniGPT-4-LLaMA-7B-GPTQ-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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="BecTome/Taxi", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env ... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/- 2.7... | BecTome/Taxi | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/openchat-openchat_3.5-GPTQ-8bit-smashed | null | [
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"region:us"
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#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# biogpt
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following result... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "biogpt", "results": []}]} | AnkushJindal28/biogpt | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T15:13:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #token-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| biogpt
======
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1701
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and... | [
"### 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: 2",
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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": []} | AL12dw/Lyria2 | null | [
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"region:us"
] | null | 2024-04-12T15:14:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mpasila/Mistral-7B-Erebus-v3-Instruct-32k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If th... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "mpasila/Mistral-7B-Erebus-v3-Instruct-32k", "quantized_by": "mradermacher"} | mradermacher/Mistral-7B-Erebus-v3-Instruct-32k-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-mpasila/Mistral-7B-Erebus-v3-Instruct-32k #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | adapter-transformers |
# Adapter `BigTMiami/A1_adapter_seq_bn_pretrain_P_5` 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 and... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/amazon_split_25M_reviews_20_percent_condensed"]} | BigTMiami/A1_adapter_seq_bn_pretrain_P_5 | null | [
"adapter-transformers",
"roberta",
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] | null | 2024-04-12T15:16:38+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us
|
# Adapter 'BigTMiami/A1_adapter_seq_bn_pretrain_P_5' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usage
... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# project-2
This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on the None data... | {"tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "vinai/phobert-base", "model-index": [{"name": "project-2", "results": []}]} | sonchuate/project-2 | null | [
"transformers",
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"roberta",
"text-classification",
"generated_from_trainer",
"base_model:vinai/phobert-base",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T15:18:55+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-vinai/phobert-base #autotrain_compatible #endpoints_compatible #region-us
| project-2
=========
This model is a fine-tuned version of vinai/phobert-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2554
* F1: 0.7160
* Roc Auc: 0.8086
* Accuracy: 0.6646
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
"### 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: 1",
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/TinyLlama-TinyLlama-1.1B-intermediate-step-715k-1.5T-GPTQ-8bit-smashed | null | [
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"text-generation",
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"text-generation-inference",
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"region:us"
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#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to c... | [
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text-generation | transformers |
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/YXqUXFjX8uIJT-mdOnM1h.png" alt="" style="width: 95%; max-height: 750px;">
</p>
## Metrics.
<p align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/641b435ba5f876fe30c5ae0a/g7Ybk... | {"language": ["bg", "ca", "cs", "da", "de", "en", "es", "fr", "hr", "hu", "it", "nl", "pl", "pt", "ro", "ru", "sl", "sr", "sv", "uk"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["NickyNicky/oasst2_clusters", "OpenAssistant/oasst2"], "model": ["google/gemma-1.1-2b-it"], "widget": [{"text": "<b... | NickyNicky/gemma-1.1-2b-it_oasst_format_chatML_unsloth_V1 | null | [
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<p align="center">
<img src="URL alt="" style="width: 95%; max-height: 750px;">
</p>
## Metrics.
<p align="center">
<img src="URL alt="" style="width: 95%; max-height: 750px;">
</p>
<p align="center">
<img src="URL alt="" style="width: 95%; max-height: 750px;">
</p>
## Take dataset.
## Dataset format g... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# PolizzeDonut-ChangeRequest-imm5epochs-Expand2
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingf... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-ChangeRequest-imm5epochs-Expand2", "results": []}]} | tedad09/PolizzeDonut-ChangeRequest-imm5epochs-Expand2 | null | [
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# PolizzeDonut-ChangeRequest-imm5epochs-Expand2
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
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More information needed
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/biogpt", "model-index": [{"name": "results", "results": []}]} | Irisissocute/results | null | [
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| results
=======
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1458
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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question-answering | transformers |
# Model Card for Model ID
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text-generation | transformers |
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text-generation | transformers |
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text-classification | transformers |
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text-generation | transformers | <!-- header start -->
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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. -->
# mbart-large-50-finetuned-en-es-2
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-large-50-finetuned-en-es-2", "results": []}]} | Gilito21/mbart-large-50-finetuned-en-es-2 | null | [
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# mbart-large-50-finetuned-en-es-2
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-classification | transformers |
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zero-shot-classification | null |
# GLiNER-large-v2.1-bird
Welcome to the repository for the `gliner-large-v2.1-bird` model, a fine-tuned version of the GLiNER `gliner_large-v2.1` targeting specific types of data related to the descriptions of birds. This model enhances the capability to recognize detailed a... | {"language": ["en"], "license": "apache-2.0", "pipeline_tag": "zero-shot-classification"} | wjbmattingly/gliner-large-v2.1-bird | null | [
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|
# GLiNER-large-v2.1-bird
!gliner bird logo
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-cnn-samsum-summarizer
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-cnn-samsum-summarizer", "results": []}]} | Khushi870/bart-cnn-samsum-summarizer | null | [
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| bart-cnn-samsum-summarizer
==========================
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1382
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# test-victor
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefics2-8b) ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "test-victor", "results": []}]} | VictorSanh/test-victor | null | [
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|
# test-victor
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | BuroIdentidadDigital/pasaporte_Mex_v2 | null | [
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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": ["unsloth"]} | RonanMcGovern/TinyLlama-SFT-Unsloth-LoRA | null | [
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# Model Card for Model ID
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text-generation | transformers |
<img src="https://cdn-uploads.huggingface.co/production/uploads/65ad2502043d53781aad2ee4/_fMSiKgc791PxxBfubWna.png" alt="image" width="540" height="540" style="margin-bottom: 30px;">
# 💫 Pulsar_7B
⚠️ This is an experimental model!
A more compliant, RP-oriented version of [MTSAIR/multi_verse_model](https://huggingf... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "dpo", "uncensored", "roleplay", "fine-tune"], "datasets": ["grimulkan/theory-of-mind", "grimulkan/physical-reasoning", "ResplendentAI/Luna_Alpaca", "unalignme... | rmdhirr/Pulsar_7B | null | [
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Pulsar\_7B
==========
️ This is an experimental model!
A more compliant, RP-oriented version of MTSAIR/multi\_verse\_model, fine-tuned on carefully selected datasets. It's smart, adept at following the desired markdown format and adh... | [] | [
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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": ["unsloth"]} | RonanMcGovern/TinyLlama-SFT-Unsloth-QLoRA | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-to-image | diffusers | ## all lora description you can go these website.
## Overseas website;
| web1 | web2 | web3 | web4 |
|--------|--------|--------|--------|
| [Huggingface](https://huggingface.co/Tasty-Rice) | [Civitai](https://civitai.com/user/Tasty_Rice) | [TensorArt](https://tensor.art/u/678859606205704728) | [shakker](https... | {"license": "artistic-2.0", "library_name": "diffusers", "tags": ["art"], "pipeline_tag": "text-to-image"} | Tasty-Rice/lora-all | null | [
"diffusers",
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"text-to-image",
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#diffusers #art #text-to-image #license-artistic-2.0 #region-us
| all lora description you can go these website.
----------------------------------------------
Overseas website;
-----------------
### China text-to-image generative model Website;
LibLibAIThis website will be accept updates, The first.
My model is currently only released on the above websites, and the progress ... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Ro - IAzari
Modelul dat este o ajustare a modelului [openai/whisper-small](https://huggingface.co/openai/whisper-s... | {"language": ["ro"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Ro - IAzari", "results": [{"task": {"type": "automatic-speech-recognition", "name": "A... | Yehoward/whisper-small-ro | null | [
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| Whisper Small Ro - IAzari
=========================
Modelul dat este o ajustare a modelului openai/whisper-small cu datele Common Voice 11.0 Ro.
Rezultate:
* Pierderi: 0.2959
* (RCG) Rata Cuvintelor Greșite: 20.8078
Descrierea
----------
Este un model intenționat pentru transcrierea graiului Moldovenesc în text... | [
"### Hiperparametrii de antrenare\n\n\nHiperparametri utilizați la antrenare:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: 200\n* traini... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/TinyLlama-TinyLlama-1.1B-Chat-v0.3-GPTQ-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | transformers | This is an ExLlamaV2 quantized model in 4bpw of [mpasila/Mistral-7B-Erebus-v3-Instruct-32k](https://huggingface.co/mpasila/Mistral-7B-Erebus-v3-Instruct-32k) using the default calibration dataset.
# Original Model card:
# Mistral-7B-Erebus-v3-Instruct-32k
This is a merge of pre-trained language models created using ... | {"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-exl2-4bpw | null | [
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| This is an ExLlamaV2 quantized model in 4bpw of mpasila/Mistral-7B-Erebus-v3-Instruct-32k using the default calibration dataset.
# Original Model card:
# Mistral-7B-Erebus-v3-Instruct-32k
This is a merge of pre-trained language models created using mergekit.
Merge script copied from this ichigoberry/pandafish-2-7b-... | [
"# Original Model card:",
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text-generation | peft | ### PEFT Fine-Tuned Mistral-7B-Instruct-v0.2 Model
# 🇮🇹 Fantastica-7b-Instruct-0.2-Italian 🇮🇹
Fantastica-7b-Instruct-0.2-Italian is an Italian speaking, instruction finetuned, Large Language model. 🇮🇹
# Fantastica-7b-Instruct-0.2-Italian's peculiar features:
- Mistral-7B-Instruct-v0.2 v.02 as base.
- generat... | {"language": ["it"], "license": "apache-2.0", "library_name": "peft", "tags": ["Italian", "PEFT", "Mistral", "finetuning", "Text Generation"], "datasets": ["scribis/Wikipedia_it_Trame_Romanzi", "scribis/Wikipedia-it-Descrizioni-di-Dipinti", "scribis/Wikipedia-it-Trame-di-Film", "scribis/Corpus-Frasi-da-Opere-Letterarie... | scribis/Fantastica-7b-Instruct-0.2-Italian | null | [
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# 🇮🇹 Fantastica-7b-Instruct-0.2-Italian 🇮🇹
Fantastica-7b-Instruct-0.2-Italian is an Italian speaking, instruction finetuned, Large Language model. 🇮🇹
# Fantastica-7b-Instruct-0.2-Italian's peculiar features:
- Mistral-7B-Instruct-v0.2 v.02 as base.
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# biogpt-adverse-ner
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on the None... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/biogpt", "model-index": [{"name": "biogpt-adverse-ner", "results": []}]} | akoraingdkb/biogpt-adverse-ner | null | [
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| biogpt-adverse-ner
==================
This model is a fine-tuned version of microsoft/biogpt on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1600
* Precision: 0.4255
* Recall: 0.5280
* F1: 0.4712
* Accuracy: 0.9471
Model description
-----------------
More information need... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | HaitingHW/a2c-PandaReachDense-v3 | null | [
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|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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null | transformers |
# Mantis: Interleaved Multi-Image Instruction Tuning
**Mantis** is a multimodal conversational AI model that can chat with users about images and text. It's optimized for multi-image reasoning, where interleaved text and images can be used to generate responses.
Mantis is trained on the newly curated dataset **Manti... | {"language": ["en"], "license": "apache-2.0", "tags": ["Mantis", "VLM", "LMM", "Multimodal LLM", "bakllava"], "base_model": "llava-hf/bakLlava-v1-hf", "model-index": [{"name": "Mantis-bakllava-7b", "results": []}]} | TIGER-Lab/Mantis-bakllava-7b | null | [
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|
# Mantis: Interleaved Multi-Image Instruction Tuning
Mantis is a multimodal conversational AI model that can chat with users about images and text. It's optimized for multi-image reasoning, where interleaved text and images can be used to generate responses.
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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. -->
# results
This model is a fine-tuned version of [eugenesiow/bart-paraphrase](https://huggingface.co/eugenesiow/bart-paraphrase) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "eugenesiow/bart-paraphrase", "model-index": [{"name": "results", "results": []}]} | Adokato/results | null | [
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| results
=======
This model is a fine-tuned version of eugenesiow/bart-paraphrase on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1435
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mT5-TextSimp-LT-BatchSize2-lr1e-4
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge", "sacrebleu"], "base_model": "google/mt5-base", "model-index": [{"name": "mT5-TextSimp-LT-BatchSize2-lr1e-4", "results": []}]} | eglkan1/mT5-TextSimp-LT-BatchSize2-lr1e-4 | null | [
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| mT5-TextSimp-LT-BatchSize2-lr1e-4
=================================
This model is a fine-tuned version of google/mt5-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0672
* Rouge1: 0.7548
* Rouge2: 0.5989
* Rougel: 0.7509
* Sacrebleu: 49.0373
* Gen Len: 38.0501
Model de... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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null | null |
# CivitAI Semi-Permeable Membrane (SPM) Training
Using the [original](https://github.com/Con6924/SPM) code provided by the authors of the [One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications](https://arxiv.org/abs/2312.16145) paper, this repository equips you with configurati... | {"license": "apache-2.0"} | Civitai/SPM | null | [
"arxiv:2312.16145",
"license:apache-2.0",
"region:us"
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"2312.16145"
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| CivitAI Semi-Permeable Membrane (SPM) Training
==============================================
Using the original code provided by the authors of the One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications paper, this repository equips you with configuration files to train SPMs on... | [
"### Recommended weights\n\n\n\nCreating Your Composite SPM\n---------------------------\n\n\nTo emulate CivitAI's SPMs setup, you should train individual SPMs on various concepts initially. Post-training, these models can be merged to form a comprehensive, unified model capable of sophisticated content moderation ... | [
"TAGS\n#arxiv-2312.16145 #license-apache-2.0 #region-us \n",
"### Recommended weights\n\n\n\nCreating Your Composite SPM\n---------------------------\n\n\nTo emulate CivitAI's SPMs setup, you should train individual SPMs on various concepts initially. Post-training, these models can be merged to form a comprehens... | [
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"TAGS\n#arxiv-2312.16145 #license-apache-2.0 #region-us \n### Recommended weights\n\n\n\nCreating Your Composite SPM\n---------------------------\n\n\nTo emulate CivitAI's SPMs setup, you should train individual SPMs on various concepts initially. Post-training, these models can be merged to form a comprehensive, u... |
text-generation | mlx |
# mlx-community/rho-math-1b-v0.1-4bit
This model was converted to MLX format from [`microsoft/rho-math-1b-v0.1`]() using mlx-lm version **0.8.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/microsoft/rho-math-1b-v0.1) for more details ... | {"language": ["en"], "license": "mit", "tags": ["nlp", "math", "mlx"], "pipeline_tag": "text-generation"} | mlx-community/rho-math-1b-v0.1-4bit | null | [
"mlx",
"safetensors",
"llama",
"nlp",
"math",
"text-generation",
"en",
"license:mit",
"region:us"
] | null | 2024-04-12T16:08:31+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #nlp #math #text-generation #en #license-mit #region-us
|
# mlx-community/rho-math-1b-v0.1-4bit
This model was converted to MLX format from ['microsoft/rho-math-1b-v0.1']() using mlx-lm version 0.8.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | mlx |
# mlx-community/rho-math-7b-v0.1-4bit
This model was converted to MLX format from [`microsoft/rho-math-7b-v0.1`]() using mlx-lm version **0.8.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/microsoft/rho-math-7b-v0.1) for more details ... | {"language": ["en"], "license": "mit", "tags": ["nlp", "math", "mlx"], "pipeline_tag": "text-generation"} | mlx-community/rho-math-7b-v0.1-4bit | null | [
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"nlp",
"math",
"text-generation",
"en",
"license:mit",
"region:us"
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"en"
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#mlx #safetensors #mistral #nlp #math #text-generation #en #license-mit #region-us
|
# mlx-community/rho-math-7b-v0.1-4bit
This model was converted to MLX format from ['microsoft/rho-math-7b-v0.1']() using mlx-lm version 0.8.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/rho-math-7b-v0.1-4bit\nThis model was converted to MLX format from ['microsoft/rho-math-7b-v0.1']() using mlx-lm version 0.8.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.",
"## Use with mlx"
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_91 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T16:09:04+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | mlx |
# mlx-community/rho-math-7b-interpreter-v0.1-4bit
This model was converted to MLX format from [`microsoft/rho-math-7b-interpreter-v0.1`]() using mlx-lm version **0.8.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/microsoft/rho-math-7b... | {"language": ["en"], "license": "mit", "tags": ["nlp", "math", "mlx"], "pipeline_tag": "text-generation"} | mlx-community/rho-math-7b-interpreter-v0.1-4bit | null | [
"mlx",
"safetensors",
"mistral",
"nlp",
"math",
"text-generation",
"en",
"license:mit",
"region:us"
] | null | 2024-04-12T16:09:22+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #mistral #nlp #math #text-generation #en #license-mit #region-us
|
# mlx-community/rho-math-7b-interpreter-v0.1-4bit
This model was converted to MLX format from ['microsoft/rho-math-7b-interpreter-v0.1']() using mlx-lm version 0.8.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/rho-math-7b-interpreter-v0.1-4bit\nThis model was converted to MLX format from ['microsoft/rho-math-7b-interpreter-v0.1']() using mlx-lm version 0.8.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.",
"## Use with mlx"
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"TAGS\n#mlx #safetensors #mistral #nlp #math #text-generation #en #license-mit #region-us \n",
"# mlx-community/rho-math-7b-interpreter-v0.1-4bit\nThis model was converted to MLX format from ['microsoft/rho-math-7b-interpreter-v0.1']() using mlx-lm version 0.8.0.\n\nModel added by Prince Canuma.\n\nRefer to the o... | [
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"TAGS\n#mlx #safetensors #mistral #nlp #math #text-generation #en #license-mit #region-us \n# mlx-community/rho-math-7b-interpreter-v0.1-4bit\nThis model was converted to MLX format from ['microsoft/rho-math-7b-interpreter-v0.1']() using mlx-lm version 0.8.0.\n\nModel added by Prince Canuma.\n\nRefer to the origina... |
text-generation | mlx |
# mlx-community/rho-math-1b-interpreter-v0.1-4bit
This model was converted to MLX format from [`microsoft/rho-math-1b-interpreter-v0.1`]() using mlx-lm version **0.8.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/microsoft/rho-math-1b... | {"language": ["en"], "license": "mit", "tags": ["nlp", "math", "mlx"], "pipeline_tag": "text-generation"} | mlx-community/rho-math-1b-interpreter-v0.1-4bit | null | [
"mlx",
"safetensors",
"llama",
"nlp",
"math",
"text-generation",
"en",
"license:mit",
"region:us"
] | null | 2024-04-12T16:09:47+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #nlp #math #text-generation #en #license-mit #region-us
|
# mlx-community/rho-math-1b-interpreter-v0.1-4bit
This model was converted to MLX format from ['microsoft/rho-math-1b-interpreter-v0.1']() using mlx-lm version 0.8.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/rho-math-1b-interpreter-v0.1-4bit\nThis model was converted to MLX format from ['microsoft/rho-math-1b-interpreter-v0.1']() using mlx-lm version 0.8.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.",
"## Use with mlx"
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null | null |
# bibidentuhanoi/BMO-7B-Instruct_2-Q6_K-GGUF
This model was converted to GGUF format from [`bibidentuhanoi/BMO-7B-Instruct_2`](https://huggingface.co/bibidentuhanoi/BMO-7B-Instruct_2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mod... | {"tags": ["llama-cpp", "gguf-my-repo"]} | bibidentuhanoi/BMO-7B-Instruct_2-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-12T16:10:08+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# bibidentuhanoi/BMO-7B-Instruct_2-Q6_K-GGUF
This model was converted to GGUF format from 'bibidentuhanoi/BMO-7B-Instruct_2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# bibidentuhanoi/BMO-7B-Instruct_2-Q6_K-GGUF\nThis model was converted to GGUF format from 'bibidentuhanoi/BMO-7B-Instruct_2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or ... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n",
"# bibidentuhanoi/BMO-7B-Instruct_2-Q6_K-GGUF\nThis model was converted to GGUF format from 'bibidentuhanoi/BMO-7B-Instruct_2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\n... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# bibidentuhanoi/BMO-7B-Instruct_2-Q6_K-GGUF\nThis model was converted to GGUF format from 'bibidentuhanoi/BMO-7B-Instruct_2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL ... |
text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/TinyLlama-TinyLlama-1.1B-step-50K-105b-GPTQ-8bit-smashed | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-12T16:11:06+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compres... |
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. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | Sourabh1407/my_awesome_qa_model | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"question-answering",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T16:12:41+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
| my\_awesome\_qa\_model
======================
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: 1.0925
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
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text-to-image | null |
# Stable Diffusion v2-1-base Model Card
This model was generated by Hugging Face using [Apple’s repository](https://github.com/apple/ml-stable-diffusion) which has [ASCL](https://github.com/apple/ml-stable-diffusion/blob/main/LICENSE.md). This version contains 4-bit linearly quantized Core ML weights for iOS 17 or ma... | {"license": "openrail++", "tags": ["stable-diffusion", "text-to-image", "core-ml"]} | Vishnou/coreml-stable-diffusion-2-1-base-4-bit | null | [
"coreml",
"stable-diffusion",
"text-to-image",
"core-ml",
"arxiv:2112.10752",
"license:openrail++",
"region:us"
] | null | 2024-04-12T16:14:39+00:00 | [
"2112.10752"
] | [] | TAGS
#coreml #stable-diffusion #text-to-image #core-ml #arxiv-2112.10752 #license-openrail++ #region-us
|
# Stable Diffusion v2-1-base Model Card
This model was generated by Hugging Face using Apple’s repository which has ASCL. This version contains 4-bit linearly quantized Core ML weights for iOS 17 or macOS 14. To use weights without quantization, please visit this model instead.
This model card focuses on the model a... | [
"# Stable Diffusion v2-1-base Model Card\n\nThis model was generated by Hugging Face using Apple’s repository which has ASCL. This version contains 4-bit linearly quantized Core ML weights for iOS 17 or macOS 14. To use weights without quantization, please visit this model instead.\n\nThis model card focuses on the... | [
"TAGS\n#coreml #stable-diffusion #text-to-image #core-ml #arxiv-2112.10752 #license-openrail++ #region-us \n",
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"TAGS\n#coreml #stable-diffusion #text-to-image #core-ml #arxiv-2112.10752 #license-openrail++ #region-us \n# Stable Diffusion v2-1-base Model Card\n\nThis model was generated by Hugging Face using Apple’s repository which has ASCL. This version contains 4-bit linearly quantized Core ML weights for iOS 17 or macOS ... |
null | null | ### [Domain Sensitive Fine-tuning](https://github.com/mykelismyname/MSLM):
Model is built by training BERT on a biomedical dataset BC2GM using an approach that learns mask specific losses.
More details in paper below,
#### Citation
```
@article{abaho2024improving,
title={Improving Pre-trained Language Mode... | {} | LivNLP/MSLM_BioBERT | null | [
"region:us"
] | null | 2024-04-12T16:17:06+00:00 | [] | [] | TAGS
#region-us
| ### Domain Sensitive Fine-tuning:
Model is built by training BERT on a biomedical dataset BC2GM using an approach that learns mask specific losses.
More details in paper below,
'''
@article{abaho2024improving,
title={Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on ... | [
"### Domain Sensitive Fine-tuning: \r\n\r\nModel is built by training BERT on a biomedical dataset BC2GM using an approach that learns mask specific losses.\r\nMore details in paper below,\r\n\r\n'''\r\n@article{abaho2024improving,\r\n title={Improving Pre-trained Language Model Sensitivity via Mask Specific losse... | [
"TAGS\n#region-us \n",
"### Domain Sensitive Fine-tuning: \r\n\r\nModel is built by training BERT on a biomedical dataset BC2GM using an approach that learns mask specific losses.\r\nMore details in paper below,\r\n\r\n'''\r\n@article{abaho2024improving,\r\n title={Improving Pre-trained Language Model Sensitivit... | [
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text-generation | transformers |
# Ognoexperiment27multi_verse_modelNeuralsynthesis-7B
Ognoexperiment27multi_verse_modelNeuralsynthesis-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [Kukedlc/NeuralSynthesis-7B-v0.1](https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.1)
#... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["Kukedlc/NeuralSynthesis-7B-v0.1"]} | automerger/Ognoexperiment27multi_verse_modelNeuralsynthesis-7B | null | [
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|
# Ognoexperiment27multi_verse_modelNeuralsynthesis-7B
Ognoexperiment27multi_verse_modelNeuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
* Kukedlc/NeuralSynthesis-7B-v0.1
## Configuration
## Usage
| [
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video-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. -->
# videomae-base-finetuned-kinetics-finetuned-data-no-yolo-colab-greedy
This model is a fine-tuned version of [MCG-NJU/videomae-bas... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base-finetuned-kinetics", "model-index": [{"name": "videomae-base-finetuned-kinetics-finetuned-data-no-yolo-colab-greedy", "results": []}]} | bluebird089/videomae-base-finetuned-kinetics-finetuned-data-no-yolo-colab-greedy | null | [
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"license:cc-by-nc-4.0",
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| videomae-base-finetuned-kinetics-finetuned-data-no-yolo-colab-greedy
====================================================================
This model is a fine-tuned version of MCG-NJU/videomae-base-finetuned-kinetics on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4309
* Ac... | [
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null | transformers |
Source repo: https://github.com/rlsn/LungNoduleDetection | {"license": "mit"} | rlsn/DeTr4LungNodule | null | [
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#transformers #pytorch #vit #license-mit #endpoints_compatible #region-us
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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. -->
# bart-large-samsum-2
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on a... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large", "model-index": [{"name": "bart-large-samsum-2", "results": []}]} | marcelomoreno26/bart-large-samsum-adapter | null | [
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"license:apache-2.0",
"has_space",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-facebook/bart-large #license-apache-2.0 #has_space #region-us
| bart-large-samsum-2
===================
This model is a fine-tuned version of facebook/bart-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4648
* Rouge1: 0.4729
* Rouge2: 0.2361
* Rougel: 0.3953
* Rougelsum: 0.3947
* Gen Len: 18.0
Model description
----------------... | [
"### 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* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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": []} | jab11769/my-awesome-bert-model | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Eliorkalfon/breakmymind-7B-slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "WizardLM/WizardMath-7B-V1.1", "OpenPipe/mistral-ft-optimized-1227"], "base_model": "Eliorkalfon/breakmymind-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/breakmymind-7B-slerp-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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. -->
# mit-b0-finetuned-sidewalk-semantic
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) o... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "mit-b0-finetuned-sidewalk-semantic", "results": []}]} | raks87/mit-b0-finetuned-sidewalk-semantic | null | [
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| mit-b0-finetuned-sidewalk-semantic
==================================
This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3201
* Mean Iou: 0.3806
* Mean Accuracy: 0.4846
* Overall Accuracy: 0.6943
* Accuracy Background: nan
* ... | [
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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": []} | simonamdev/openai-whisper-small-jv-PeftType.LORA | null | [
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"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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"]} | girayo/ppo-Huggy | null | [
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"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
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#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... | [
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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": []} | oneandahalfcats/twoandahalfcats | null | [
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"endpoints_compatible",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | jhovany/robertuito-hate-speech-94-6-Homomex2024 | null | [
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"text-classification",
"arxiv:1910.09700",
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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-to-image | diffusers |
# Introduction
This ECLIPSE model weight is a tiny (33M parameter) non-diffusion text-to-image prior model **trained on CC12M data**.
Despite being so small and trained on a limited amount of data, ECLIPSE priors achieve results that of 1 Billion parameter T2I prior models trained on millions of image-text pairs.
... | {"language": ["en"], "license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "prior", "unclip", "kandinskyv2.2"]} | ECLIPSE-Community/ECLIPSE_Karlo_Prior | null | [
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# Introduction
This ECLIPSE model weight is a tiny (33M parameter) non-diffusion text-to-image prior model trained on CC12M data.
Despite being so small and trained on a limited amount of data, ECLIPSE priors achieve results that of 1 Billion parameter T2I prior models trained on millions of image-text pairs.
- Pr... | [
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text-generation | transformers |
## VAGO solutions SauerkrautLM-Qwen-32b
Introducing **SauerkrautLM-Qwen-32b** – our Sauerkraut version of the powerful [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B)!
The model **Sauer... | {"language": ["de", "en"], "license": "other", "tags": ["sft", "dpo"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE"} | VAGOsolutions/SauerkrautLM-Qwen-32b | null | [
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| !SauerkrautLM
VAGO solutions SauerkrautLM-Qwen-32b
------------------------------------
Introducing SauerkrautLM-Qwen-32b – our Sauerkraut version of the powerful Qwen/Qwen1.5-32B!
The model SauerkrautLM-Qwen-32b is a joint effort between VAGO solutions and URL.
* Finetuned with SFT
* Aligned with DPO
Table o... | [
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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. -->
# llama-2-finetuned-qa-TOFU-dataset
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "NousResearch/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-2-finetuned-qa-TOFU-dataset", "results": []}]} | AlyGreo/llama-2-finetuned-qa-TOFU-dataset | null | [
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| llama-2-finetuned-qa-TOFU-dataset
=================================
This model is a fine-tuned version of NousResearch/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1874
Model description
-----------------
More information needed
Intended uses & l... | [
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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. -->
# albert-finetuned-squad
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "albert-base-v2", "model-index": [{"name": "albert-finetuned-squad", "results": []}]} | noushsuon/albert-finetuned-squad | null | [
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|
# albert-finetuned-squad
This model is a fine-tuned version of albert-base-v2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-base-newtriplets-v2-lr-1e-8-m-1-e-3
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sen... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-base-newtriplets-v2-lr-1e-8-m-1-e-3 | null | [
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# luiz-and-robert-thesis/all-mpnet-base-newtriplets-v2-lr-1e-8-m-1-e-3
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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-bpw3.7 | null | [
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Model Card for Zephyr 141B-A35B
===============================
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feature-extraction | transformers |
# Model Card for Model ID
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### Model Description
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | pankaj2609/llama-chat_finetune_full | null | [
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#peft #region-us
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text-generation | transformers |
# Uploaded model
- **Developed by:** RonanMcGovern
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/tinyllama-bnb-4bit"} | RonanMcGovern/TinyLlama-1.1B-4bit-32rank-loftq-adapters | null | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-0.5B-Chat-layer-mix-bpw-2.2 | null | [
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| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library a... | [
46,
43
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and lis... |
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. -->
# FFPP-Raw_1FPS_faces-expand-0-aligned_augmentation-normalize-image-mean-std
This model is a fine-tuned version of [microsoft/swin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "recall", "precision", "f1"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "FFPP-Raw_1FPS_faces-expand-0-aligned_augmentation-normalize-image-mean-std", "results": [{"ta... | hchcsuim/FFPP-Raw_1FPS_faces-expand-0-aligned_augmentation-normalize-image-mean-std | null | [
"transformers",
"tensorboard",
"safetensors",
"swin",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:microsoft/swin-tiny-patch4-window7-224",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T16:42:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| FFPP-Raw\_1FPS\_faces-expand-0-aligned\_augmentation-normalize-image-mean-std
=============================================================================
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:
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following h... | [
75,
142,
5,
40
] | [
"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-tiny-patch4-window7-224 #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperpa... |
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