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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/deepseek-ai-deepseek-coder-6.7b-base-bnb-4bit-smashed | null | [
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![Twitter](URL
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image-to-text | transformers | # vit-base-patch16-224-turkish-gpt2
This vision encoder-decoder model utilizes the [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) as the encoder and [ytu-ce-cosmos/turkish-gpt2](https://huggingface.co/ytu-ce-cosmos/turkish-gpt2) as the decoder, and it has been fine-tuned on the [flic... | {"language": ["tr"], "license": "apache-2.0", "library_name": "transformers", "tags": ["image-to-text", "image-captioning"], "datasets": ["atasoglu/flickr8k-turkish"], "metrics": ["rouge"], "pipeline_tag": "image-to-text", "base_model": ["google/vit-base-patch16-224", "ytu-ce-cosmos/turkish-gpt2"]} | atasoglu/vit-base-patch16-224-turkish-gpt2 | null | [
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| # vit-base-patch16-224-turkish-gpt2
This vision encoder-decoder model utilizes the google/vit-base-patch16-224 as the encoder and ytu-ce-cosmos/turkish-gpt2 as the decoder, and it has been fine-tuned on the flickr8k-turkish dataset to generate image captions in Turkish.
## Usage
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null | mlx |
# GreenBitAI/yi-6b-chat-w4a16g128-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/yi-6b-chat-w4a16g128`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/yi-6b-chat-w4a16g128) for more details on the model.
## Use with mlx
```bash
pip install gbx-lm
```
```python... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/yi-6b-chat-w4a16g128-mlx | null | [
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#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/yi-6b-chat-w4a16g128-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/yi-6b-chat-w4a16g128']().
Refer to the original model card for more details on the model.
## Use with mlx
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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/Vision-CAIR-vicuna-7b-bnb-8bit-smashed | null | [
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<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
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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-instruct-test | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- 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;">
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null | null |
## / 7th anime XL /
<img src="https://i.imgur.com/4nxtsok.jpeg" width="1700" height="">
# <lyco:Important Notice:1.37>
default CFG Scale : 7
default Sampler : DPM++ 2M Karras
default Steps : 20
Negative prompt : (worst quality:1.6),(low quality:1.4),(normal quality:1.2),lowres,jpeg artifacts,long neck,long... | {"license": "unknown"} | syaimu/7th_Layer_XL | null | [
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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-large-cnn-samsum
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "bart-large-cnn-samsum", "results": []}]} | Chung-Fan/bart-large-cnn-samsum | null | [
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|
# bart-large-cnn-samsum
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Roberta-CLS-URL
This model is a fine-tuned version of [papluca/xlm-roberta-base-language-detection](https://huggingface.co/paplu... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "papluca/xlm-roberta-base-language-detection", "model-index": [{"name": "Roberta-CLS-URL", "results": []}]} | RonTon05/Roberta-CLS-URL | null | [
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| Roberta-CLS-URL
===============
This model is a fine-tuned version of papluca/xlm-roberta-base-language-detection on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1817
* Accuracy: 0.9571
* F1: 0.9572
Model description
-----------------
More information needed
Intended ... | [
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null | keras | Pokémon images classification (gen1)
Trained on: https://www.kaggle.com/datasets/mikoajkolman/pokemon-images-first-generation17000-files | {} | Firefly55lm/vera_cnn_v1 | null | [
"keras",
"region:us"
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#keras #region-us
| Pokémon images classification (gen1)
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tiny_sum_04-06-13-46-01
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLl... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "tiny_sum_04-06-13-46-01", "results": []}]} | reeddg/tiny_sum_04-06-13-46-01 | null | [
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#tensorboard #trl #sft #generated_from_trainer #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #region-us
|
# tiny_sum_04-06-13-46-01
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trai... | [
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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-2-7b-hf-platypus_v5
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "Llama-2-7b-hf-platypus_v5", "results": []}]} | NassimB/Llama-2-7b-hf-platypus_v5 | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
|
# Llama-2-7b-hf-platypus_v5
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
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"## Training and evaluation data\n\nMore information needed",
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text-to-image | diffusers | # leya-gornaya
<Gallery />
## Trigger words
You should use `leyagornaya` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/MarkBW/leya-gornaya/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "LeyaGornaya,a woman wearing denim jacket and cargo pants, countryside, (natural lighting:0.5) <lora:LeyaGornaya:0.9>", "parameters": {"negative_prompt": "paintings, sketches, (worst quality:2), (low quality:2),... | MarkBW/leya-gornaya | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:runwayml/stable-diffusion-v1-5",
"region:us"
] | null | 2024-04-06T13:58:01+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #region-us
| # leya-gornaya
<Gallery />
## Trigger words
You should use 'leyagornaya' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
| [
"# leya-gornaya\n\n<Gallery />",
"## Trigger words\n\nYou should use 'leyagornaya' to trigger the image generation.",
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | pnelson5/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-06T14:04:06+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
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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": "google/flan-t5-xl"} | HeydarS/flant5_xl_popQA_peft_v8 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:google/flan-t5-xl",
"region:us"
] | null | 2024-04-06T14:10:04+00:00 | [
"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-google/flan-t5-xl #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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#... | [
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null | 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": "google/flan-t5-large"} | HeydarS/flant5_lg_witQA_peft_v12 | null | [
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"safetensors",
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-google/flan-t5-large #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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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ssh1419/indi-deplot-1-final | null | [
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"safetensors",
"pix2struct",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #pix2struct #text2text-generation #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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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/MetaIX/GPT4-X-Alpasta-30b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/GPT4-X-Alpasta-... | {"language": ["en"], "library_name": "transformers", "base_model": "MetaIX/GPT4-X-Alpasta-30b", "quantized_by": "mradermacher"} | mradermacher/GPT4-X-Alpasta-30b-GGUF | null | [
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"region:us"
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"en"
] | TAGS
#transformers #gguf #en #base_model-MetaIX/GPT4-X-Alpasta-30b #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #base_model-MetaIX/GPT4-X-Alpasta-30b #endpoints_compatible #region-us \n"
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
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-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | trsdimi/MLAgents-Pyramids | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Pyramids",
"region:us"
] | null | 2024-04-06T14:12:56+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
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 ... | [
"# ppo Agent playing Pyramids\n This is a trained model of a ppo agent playing Pyramids\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutori... | [
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text-generation | transformers |
Mistral-7b with continued pretraining using Quiet-STaR (https://arxiv.org/abs/2403.09629) for generating 8 thought tokens before each output token.
Forked from Crystalcareai/Quiet-Star-Custom | {"datasets": ["open-web-math/open-web-math"]} | pharaouk/Quiet-Star-Custom | null | [
"transformers",
"safetensors",
"quiet",
"text-generation",
"custom_code",
"dataset:open-web-math/open-web-math",
"arxiv:2403.09629",
"autotrain_compatible",
"region:us"
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"2403.09629"
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|
Mistral-7b with continued pretraining using Quiet-STaR (URL for generating 8 thought tokens before each output token.
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text-to-image | diffusers | # Frutiger Aero
<Gallery />
## Model description
This SDXL LoRA attempts to capture the stylistic elements of the aesthetic that has recently been branded as Frutiger Aero. Because this branding of the style is fairly new I noticed base models don't really know this concept. This is a somewhat hyper version of ... | {"license": "artistic-2.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/frutiger-aero-_00013_.png"}}, {"text": "-", "output": {"url": "images/frutiger-aero-_00038_.png"}}, {"text": "-", "output": {"url": "images/frutiger-aero... | BlaireSilver13/Frutiger_Aero | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:artistic-2.0",
"region:us"
] | null | 2024-04-06T14:15:24+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-artistic-2.0 #region-us
| # Frutiger Aero
<Gallery />
## Model description
This SDXL LoRA attempts to capture the stylistic elements of the aesthetic that has recently been branded as Frutiger Aero. Because this branding of the style is fairly new I noticed base models don't really know this concept. This is a somewhat hyper version of ... | [
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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": []} | zhaospei/hinny-coder-6.7b-java | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# Model Card for Model ID
Chatbots can be programmed with a large knowledge base on answer users' questions on a variety of topics. They can provide facts, data, explanations, definitions, etc.
Complete tasks. Chatbots can be integrated with other systems and APIs to actually do things for users. Based on a user's pr... | {"language": ["vi"], "license": "mit", "library_name": "transformers", "tags": ["LLMs", "NLP", "Vietnamese"], "datasets": ["Tamnemtf/hcmue_qa"], "pipeline_tag": "text-generation", "base_model": "Viet-Mistral/Vistral-7B-Chat"} | Tamnemtf/Ae-calem-mistral-7b-v0.2 | null | [
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# Model Card for Model ID
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-ner
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base)... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-ner", "results": []}]} | gechim/xlm-roberta-base-finetuned-ner | null | [
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| xlm-roberta-base-finetuned-ner
==============================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
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* F1: 0.9069
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-----------------
More information needed
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null | transformers | ## About
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weighted/imatrix quants of https://huggingface.co/Junrulu/FIPO-IPL-IPO-Tulu2-70B
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weighted/imatrix quants of 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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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. -->
# resnet-50-finetuned-eurosat
This model is a fine-tuned version of [MF21377197/resnet-50-finetuned-eurosat](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MF21377197/resnet-50-finetuned-eurosat", "model-index": [{"name": "resnet-50-finetuned-eurosat", "results": []}]} | MF21377197/resnet-50-finetuned-eurosat | null | [
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| resnet-50-finetuned-eurosat
===========================
This model is a fine-tuned version of MF21377197/resnet-50-finetuned-eurosat on an unknown dataset.
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* Loss: 21.6578
* Accuracy: 0.5284
Model description
-----------------
More information needed
In... | [
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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": []} | ibarabasi/opt-6.7b-lora | null | [
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audio-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. -->
# super_emo_peepo
This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large-xlsr-53-english](https://huggingface.co/jon... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "jonatasgrosman/wav2vec2-large-xlsr-53-english", "model-index": [{"name": "super_emo_peepo", "results": []}]} | TisNam/super_emo_peepo | null | [
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| super\_emo\_peepo
=================
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9463
* Accuracy: 0.6961
Model description
-----------------
More information needed
Intended uses & li... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# convnextv2-base-22k-224-finetuned-cassava-leaf-disease
This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/convnextv2-base-22k-224", "model-index": [{"name": "convnextv2-base-22k-224-finetuned-cassava-leaf-disease", "results": [{"task": {"type": "image-classification", "name": "Image Cl... | louislu9911/convnextv2-base-22k-224-finetuned-cassava-leaf-disease | null | [
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| convnextv2-base-22k-224-finetuned-cassava-leaf-disease
======================================================
This model is a fine-tuned version of facebook/convnextv2-base-22k-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3524
* Accuracy: 0.8827
Model descript... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 360\n* eval\\_batch\\_size: 360\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 1440\n* optimizer: Adam with betas=(0.9,0.999) and eps... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Human-action-convnext
This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnex... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/convnext-tiny-224", "model-index": [{"name": "Human-action-convnext", "results": []}]} | luciagil/Human-action-convnext | null | [
"transformers",
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"generated_from_trainer",
"base_model:facebook/convnext-tiny-224",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T14:22:38+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #convnext #image-classification #generated_from_trainer #base_model-facebook/convnext-tiny-224 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| Human-action-convnext
=====================
This model is a fine-tuned version of facebook/convnext-tiny-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5382
* Accuracy: 0.8365
Model description
-----------------
More information needed
Intended uses & limitations... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-generation | transformers | ### Run Huggingface RWKV6 World Model
> origin pth weight from https://huggingface.co/BlinkDL/rwkv-6-world/blob/main/RWKV-x060-World-3B-v2-20240228-ctx4096.pth .
#### CPU
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
def generate_prompt(instruction, input=""):
instruction =... | {} | RWKV/rwkv-6-world-3b | null | [
"transformers",
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#transformers #pytorch #rwkv6 #text-generation #custom_code #autotrain_compatible #region-us
| ### Run Huggingface RWKV6 World Model
> origin pth weight from URL .
#### CPU
output:
#### GPU
output:
#### Batch Inference
output:
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] |
null | null |
# lefromage/TinyLlama-1.1B-Chat-v1.0-Q4_K_M-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 [orig... | {"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": "... | lefromage/TinyLlama-1.1B-Chat-v1.0-Q4_K_M-GGUF | null | [
"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"
] | null | 2024-04-06T14:24:44+00:00 | [] | [
"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
|
# lefromage/TinyLlama-1.1B-Chat-v1.0-Q4_K_M-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.
... | [
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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. -->
# train_2024-04-06-21-30-00
This model is a fine-tuned version of [Qwen/Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) on... | {"license": "other", "tags": ["llama-factory", "full", "generated_from_trainer"], "base_model": "Qwen/Qwen1.5-1.8B", "model-index": [{"name": "train_2024-04-06-21-30-00", "results": []}]} | Tsumugii/Sunsimiao-Qwen1.5-1.8B-full-0.2 | null | [
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"qwen2",
"text-generation",
"llama-factory",
"full",
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"base_model:Qwen/Qwen1.5-1.8B",
"license:other",
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|
# train_2024-04-06-21-30-00
This model is a fine-tuned version of Qwen/Qwen1.5-1.8B on the CMB_answer_merge, the belle_0.5M_random_305800 and the HuatuoGPT2_sft_instruct_GPT4 datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation... | [
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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. -->
# t5-small-finetuned-contextcraft
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-small", "model-index": [{"name": "t5-small-finetuned-contextcraft", "results": []}]} | Ajas2002/t5-small-finetuned-contextcraft | null | [
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|
# t5-small-finetuned-contextcraft
This model is a fine-tuned version of t5-small on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
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zero-shot-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. -->
# clip-seed-vit-bert
This model is a fine-tuned version of [openai/clip-vit-base-patch16](https://huggingface.co/openai/clip-vit-b... | {"tags": ["generated_from_trainer"], "base_model": "openai/clip-vit-base-patch16", "model-index": [{"name": "clip-seed-vit-bert", "results": []}]} | zabir735/clip-seed-vit-bert | null | [
"transformers",
"safetensors",
"clip",
"zero-shot-image-classification",
"generated_from_trainer",
"base_model:openai/clip-vit-base-patch16",
"endpoints_compatible",
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#transformers #safetensors #clip #zero-shot-image-classification #generated_from_trainer #base_model-openai/clip-vit-base-patch16 #endpoints_compatible #region-us
|
# clip-seed-vit-bert
This model is a fine-tuned version of openai/clip-vit-base-patch16 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 hyperp... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_MeliodasT3qm7
M7Yamshadowexperiment28_MeliodasT3qm7 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/MeliodasT3qm7-7B](https://huggingface.co/automerger/MeliodasT3qm7-7B)
## 💻 Usage
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_MeliodasT3qm7", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/MeliodasT3qm7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation",... | MaziyarPanahi/M7Yamshadowexperiment28_MeliodasT3qm7 | null | [
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"region:us"
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|
# M7Yamshadowexperiment28_MeliodasT3qm7
M7Yamshadowexperiment28_MeliodasT3qm7 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/MeliodasT3qm7-7B
## Usage
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fill-mask | 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": []} | bhaskar-gautam/dummy-model | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Finnish-Viking-Alpaca-V1-LoRA-7B
LoRA trained with text-generation-webui in 4-bit using [LumiOpen/Viking-7B](https://huggingface.co/LumiOpen/Viking-7B/) as the base model for 1 epoch. Dataset used with the LoRA is [pinzhenchen/alpaca-cleaned-fi](https://huggingface.co/datasets/pinzhenchen/alpaca-clea... | {"language": ["fi"], "license": "apache-2.0", "library_name": "peft", "datasets": ["pinzhenchen/alpaca-cleaned-fi"], "base_model": "LumiOpen/Viking-7B"} | mpasila/Finnish-Viking-Alpaca-V1-LoRA-7B | null | [
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|
# Model Card for Finnish-Viking-Alpaca-V1-LoRA-7B
LoRA trained with text-generation-webui in 4-bit using LumiOpen/Viking-7B as the base model for 1 epoch. Dataset used with the LoRA is pinzhenchen/alpaca-cleaned-fi.
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null | transformers |
# Uploaded model
- **Developed by:** duarteocarmo
- **License:** apache-2.0
- **Finetuned from model :** google/gemma-2b
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
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<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/NeverSleep/MiquMaid-v3-70B
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
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Provided Quants
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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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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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fill-mask | transformers |
# 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": []} | gautamguru/dummy-model | null | [
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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. -->
# trainer_3f
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "trainer_3f", "results": []}]} | SimoneJLaudani/trainer_3f | null | [
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| trainer\_3f
===========
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0618
* Precision: 0.8364
* Recall: 0.8325
* F1: 0.8329
* Accuracy: 0.8325
Model description
-----------------
More information needed
In... | [
"### 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: 4",
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text-generation | transformers |
# M7Yamshadowexperiment28_ShadowStrangemerges_32
M7Yamshadowexperiment28_ShadowStrangemerges_32 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/ShadowStrangemerges_32-7B](https://huggingface.co/automerger/ShadowS... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge", "transformers", "safetensors", "mistral", "text-generation", "merge", "mergekit", "lazymergekit", "automerger", "base_model:CorticalStack/shadow-clown-7B-slerp", "base_model:Gille/StrangeMerges_32-7B-slerp", "license:apache-2.0", "a... | MaziyarPanahi/M7Yamshadowexperiment28_ShadowStrangemerges_32 | null | [
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# M7Yamshadowexperiment28_ShadowStrangemerges_32
M7Yamshadowexperiment28_ShadowStrangemerges_32 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/ShadowStrangemerges_32-7B
## Usage
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null | transformers |
# Uploaded model
- **Developed by:** duarteocarmo
- **License:** apache-2.0
- **Finetuned from model :** google/gemma-2b
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/ima... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "gguf"], "base_model": "google/gemma-2b"} | duarteocarmo/lusiaidas_q4_k | null | [
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | <!-- header start -->
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text-generation | transformers | # Model Card for Finnish-Viking-Alpaca-V1-7B
This is a merge of [mpasila/Finnish-Viking-Alpaca-V1-LoRA-7B](https://huggingface.co/mpasila/Finnish-Viking-Alpaca-V1-LoRA-7B/).
LoRA trained with text-generation-webui in 4-bit using [LumiOpen/Viking-7B](https://huggingface.co/LumiOpen/Viking-7B/) as the base model for 1 ... | {"language": ["fi"], "license": "apache-2.0", "datasets": ["pinzhenchen/alpaca-cleaned-fi"], "base_model": "LumiOpen/Viking-7B"} | mpasila/Finnish-Viking-Alpaca-V1-7B | null | [
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| Model Card for Finnish-Viking-Alpaca-V1-7B
==========================================
This is a merge of mpasila/Finnish-Viking-Alpaca-V1-LoRA-7B.
LoRA trained with text-generation-webui in 4-bit using LumiOpen/Viking-7B as the base model for 1 epoch. Dataset used with the LoRA is pinzhenchen/alpaca-cleaned-fi.
I... | [
"#### FIN-bench scores:",
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robbert-2023-dutch-base-ft-nlp-xxl
This model is a fine-tuned version of [DTAI-KULeuven/robbert-2023-dutch-base](https://hugging... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "DTAI-KULeuven/robbert-2023-dutch-base", "model-index": [{"name": "robbert-2023-dutch-base-ft-nlp-xxl", "results": []}]} | helena-balabin/robbert-2023-dutch-base-ft-nlp-xxl | null | [
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| robbert-2023-dutch-base-ft-nlp-xxl
==================================
This model is a fine-tuned version of DTAI-KULeuven/robbert-2023-dutch-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0118
Model description
-----------------
More information needed
Intended ... | [
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fill-mask | 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. -->
# dummy-model2
This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
It a... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "camembert-base", "model-index": [{"name": "dummy-model2", "results": []}]} | allenzhangloveml/dummy-model2 | null | [
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|
# dummy-model2
This model is a fine-tuned version of camembert-base on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## T... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
A 7B LoRA adaptor for psychology use cases, finetuned on 10k rows of psychological dataset.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transfo... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers"} | praysimanjuntak/openchat_fyp_psychology | null | [
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# Model Card for Model ID
A 7B LoRA adaptor for psychology use cases, finetuned on 10k rows of psychological dataset.
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# 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]
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text-generation | transformers |
# ExLlamaV2 quantization of [ChaoticNeutrals/Bepis_9B](https://huggingface.co/ChaoticNeutrals/Bepis_9B/)
All credits go to [ChaoticNeutrals](https://huggingface.co/ChaoticNeutrals).
# Original model information:
# Bepis
![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/626dfb8786671a29c715f8a9/H0_... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": [], "model-index": [{"name": "Bepis_9B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)", "type": "ai2_arc", "config"... | rmdhirr/Bepis_9B-8.0bpw-h8-exl2 | null | [
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| ExLlamaV2 quantization of ChaoticNeutrals/Bepis\_9B
===================================================
All credits go to ChaoticNeutrals.
Original model information:
===========================
Bepis
=====
!image/jpeg
A new 9B model from jeiku. This one is smart, proficient at markdown, knows when to stop ta... | [] | [
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text-to-audio | 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_it_mini
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/micro... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["voxpopuli"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_finetuned_voxpopuli_it_mini", "results": []}]} | Feng-F-F/speecht5_finetuned_voxpopuli_it_mini | null | [
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|
# speecht5_finetuned_voxpopuli_it_mini
This model is a fine-tuned version of microsoft/speecht5_tts on the voxpopuli dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
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text-generation | transformers | <!-- 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/scb10x-typhoon-7b-bnb-8bit-smashed | null | [
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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
![GitHub](URL
![LinkedIn](URL
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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. -->
# reuters-gpt2-text-gen
This model is a fine-tuned version of [ganeshkamath89/reuters-gpt2-text-gen](https://huggingface.co/ganesh... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "ganeshkamath89/reuters-gpt2-text-gen", "model-index": [{"name": "reuters-gpt2-text-gen", "results": []}]} | ganeshkamath89/reuters-gpt2-text-gen | null | [
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| reuters-gpt2-text-gen
=====================
This model is a fine-tuned version of ganeshkamath89/reuters-gpt2-text-gen on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.0228
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712415530903x161050856757302560
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Theuzs/Duende_Verde"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712415530903x161050856757302560 | null | [
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|
# LoRA DreamBooth - squaadinc/1712415530903x161050856757302560
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
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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. -->
# convnextv2-base-22k-384-finetuned-cassava-leaf-disease
This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/convnextv2-base-22k-384", "model-index": [{"name": "convnextv2-base-22k-384-finetuned-cassava-leaf-disease", "results": [{"task": {"type": "image-classification", "name": "Image Cl... | louislu9911/convnextv2-base-22k-384-finetuned-cassava-leaf-disease | null | [
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| convnextv2-base-22k-384-finetuned-cassava-leaf-disease
======================================================
This model is a fine-tuned version of facebook/convnextv2-base-22k-384 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3755
* Accuracy: 0.8785
Model descript... | [
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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. -->
# code-llama-7b-text-to-sql
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/Cod... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "code-llama-7b-text-to-sql", "results": []}]} | aldente0630/code-llama-7b-text-to-sql | null | [
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|
# code-llama-7b-text-to-sql
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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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. -->
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null | transformers |
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
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# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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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]
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text-generation | transformers | <!-- header start -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-generation | transformers | <!-- header start -->
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text-to-image | diffusers | # Parcifique
<Gallery />
## Model description
Parcifique is an AI, whick is **P**eaceful **A**rtistic **C**reative **I**novative **F**usion **I**nterconnected **Q**uantization **U**nique **E**quilibrium
Trained on a lot of Dall-e 3 images from ehristoforu/dalle-3-images
## Download model
Weights for this mo... | {"license": "apache-2.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "A beautiful photo of a realistic eye", "output": {"url": "images/photo_387@09-03-2023_19-06-16 \u2014 \u043a\u043e\u043f\u0438\u044f.jpg"}}, {"text": "Beautiufl woman with white hairs",... | Kvikontent/Parcifique | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:runwayml/stable-diffusion-v1-5",
"license:apache-2.0",
"region:us"
] | null | 2024-04-06T15:11:56+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #license-apache-2.0 #region-us
| # Parcifique
<Gallery />
## Model description
Parcifique is an AI, whick is Peaceful Artistic Creative Inovative Fusion Interconnected Quantization Unique Equilibrium
Trained on a lot of Dall-e 3 images from ehristoforu/dalle-3-images
## Download model
Weights for this model are available in Safetensors for... | [
"# Parcifique\n\n<Gallery />",
"## Model description \n\nParcifique is an AI, whick is Peaceful Artistic Creative Inovative Fusion Interconnected Quantization Unique Equilibrium\nTrained on a lot of Dall-e 3 images from ehristoforu/dalle-3-images",
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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="joslinthomas/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additiona... | {"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": ... | joslinthomas/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-06T15:14:10+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
| [
"# Q-Learning Agent playing1 FrozenLake-v1\n This is a trained model of a Q-Learning agent playing FrozenLake-v1 .\n\n ## Usage"
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] |
text-generation | transformers |
# M7Yamshadowexperiment28_Experiment26M7
M7Yamshadowexperiment28_Experiment26M7 is a merge of the following models:
* ['automerger/M7Yamshadowexperiment28-7B'](https://huggingface.co/'automerger/M7Yamshadowexperiment28-7B')
* ['automerger/Experiment26M7-7B'](https://huggingface.co/'automerger/Experiment26M7-7B')
##... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment26M7", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment26M7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment26M7 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/Experiment26M7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-06T15:15:02+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment26M7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Experiment26M7
M7Yamshadowexperiment28_Experiment26M7 is a merge of the following models:
* 'automerger/M7Yamshadowexperiment28-7B'
* 'automerger/Experiment26M7-7B'
## Usage
| [
"# M7Yamshadowexperiment28_Experiment26M7\n\nM7Yamshadowexperiment28_Experiment26M7 is a merge of the following models:\n* 'automerger/M7Yamshadowexperiment28-7B'\n* 'automerger/Experiment26M7-7B'",
"## 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. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "type": "emotion... | daSooo/distilbert-base-uncased-finetuned-emotion | null | [
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"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T15:15:07+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #dataset-emotion #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1625
* Accuracy: 0.936
* F1: 0.9360
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\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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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/v1olet/v1olet_merged_dpo_7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "v1olet/v1olet_merged_dpo_7B", "quantized_by": "mradermacher"} | mradermacher/v1olet_merged_dpo_7B-GGUF | null | [
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"base_model:v1olet/v1olet_merged_dpo_7B",
"license:apache-2.0",
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"en"
] | TAGS
#transformers #gguf #en #base_model-v1olet/v1olet_merged_dpo_7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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"TAGS\n#transformers #gguf #en #base_model-v1olet/v1olet_merged_dpo_7B #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers | # Qwen1.5-32B-Chat-8.0bpw-h8-exl2
This is a 8.0bpw quantized version of [Qwen/Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat) made with [exllamav2](https://github.com/turboderp/exllamav2).
To run this, make sure you installed the up-to-date version of Exllamav2.
## License
This project is distribut... | {"license": "other", "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE"} | DrNicefellow/Qwen1.5-32B-Chat-8bpw-h8-exl2 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-06T15:18:17+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Qwen1.5-32B-Chat-8.0bpw-h8-exl2
This is a 8.0bpw quantized version of Qwen/Qwen1.5-32B-Chat made with exllamav2.
To run this, make sure you installed the up-to-date version of Exllamav2.
## License
This project is distributed under the Tongyi Qianwen LICENSE AGREEMENT. See the LICENSE file for more information.
... | [
"# Qwen1.5-32B-Chat-8.0bpw-h8-exl2\n\n\nThis is a 8.0bpw quantized version of Qwen/Qwen1.5-32B-Chat made with exllamav2.\n\nTo run this, make sure you installed the up-to-date version of Exllamav2.",
"## License\n\nThis project is distributed under the Tongyi Qianwen LICENSE AGREEMENT. See the LICENSE file for mo... | [
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"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Qwen1.5-32B-Chat-8.0bpw-h8-exl2\n\n\nThis is a 8.0bpw quantized version of Qwen/Qwen1.5-32B-Chat made with exllamav2.\n\nTo run this, make su... |
text-generation | transformers |
# MeliodasPercival_01_Strangemerges_32T3qm7xp
MeliodasPercival_01_Strangemerges_32T3qm7xp is a merge of the following models:
* ['automerger/MeliodasPercival_01-7B'](https://huggingface.co/'automerger/MeliodasPercival_01-7B')
* ['automerger/Strangemerges_32T3qm7xp-7B'](https://huggingface.co/'automerger/Strangemerges... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Strangemerges_32T3qm7xp", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Strangemerges_32T3qm7xp-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/MeliodasPercival_01_Strangemerges_32T3qm7xp | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
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"base_model:automerger/Strangemerges_32T3qm7xp-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-06T15:18:42+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Strangemerges_32T3qm7xp-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Strangemerges_32T3qm7xp
MeliodasPercival_01_Strangemerges_32T3qm7xp is a merge of the following models:
* 'automerger/MeliodasPercival_01-7B'
* 'automerger/Strangemerges_32T3qm7xp-7B'
## Usage
| [
"# MeliodasPercival_01_Strangemerges_32T3qm7xp\n\nMeliodasPercival_01_Strangemerges_32T3qm7xp is a merge of the following models:\n* 'automerger/MeliodasPercival_01-7B'\n* 'automerger/Strangemerges_32T3qm7xp-7B'",
"## Usage"
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0dad0/test08 | null | [
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"safetensors",
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"text-generation",
"conversational",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-06T15:18:49+00:00 | [
"1910.09700"
] | [] | TAGS
#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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | transformers |
# Experiment28T3q_Strangemerges_32Yam
Experiment28T3q_Strangemerges_32Yam is a merge of the following models:
* ['automerger/Experiment28T3q-7B'](https://huggingface.co/'automerger/Experiment28T3q-7B')
* ['automerger/Strangemerges_32Yam-7B'](https://huggingface.co/'automerger/Strangemerges_32Yam-7B')
## 💻 Usage
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_Strangemerges_32Yam", "base_model": ["automerger/Experiment28T3q-7B", "automerger/Strangemerges_32Yam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/Experiment28T3q_Strangemerges_32Yam | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28T3q-7B",
"base_model:automerger/Strangemerges_32Yam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-06T15:18:56+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/Strangemerges_32Yam-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_Strangemerges_32Yam
Experiment28T3q_Strangemerges_32Yam is a merge of the following models:
* 'automerger/Experiment28T3q-7B'
* 'automerger/Strangemerges_32Yam-7B'
## Usage
| [
"# Experiment28T3q_Strangemerges_32Yam\n\nExperiment28T3q_Strangemerges_32Yam is a merge of the following models:\n* 'automerger/Experiment28T3q-7B'\n* 'automerger/Strangemerges_32Yam-7B'",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/Strangemerges_32Yam-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | piyushgaba07/MAYA_Llama_2_7b_quantized_model | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-06T15:19:09+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
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text-generation | transformers |
# Experiment26Neuralsirkrishna_Experiment24Experiment26
Experiment26Neuralsirkrishna_Experiment24Experiment26 is a merge of the following models:
* ['automerger/Experiment26Neuralsirkrishna-7B'](https://huggingface.co/'automerger/Experiment26Neuralsirkrishna-7B')
* ['automerger/Experiment24Experiment26-7B'](https://h... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Neuralsirkrishna_Experiment24Experiment26", "base_model": ["automerger/Experiment26Neuralsirkrishna-7B", "automerger/Experiment24Experiment26-7B"], "inference": false, "model_creator": "MaziyarPanahi", "p... | MaziyarPanahi/Experiment26Neuralsirkrishna_Experiment24Experiment26 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment26Neuralsirkrishna-7B",
"base_model:automerger/Experiment24Experiment26-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-06T15:19:42+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Neuralsirkrishna-7B #base_model-automerger/Experiment24Experiment26-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Neuralsirkrishna_Experiment24Experiment26
Experiment26Neuralsirkrishna_Experiment24Experiment26 is a merge of the following models:
* 'automerger/Experiment26Neuralsirkrishna-7B'
* 'automerger/Experiment24Experiment26-7B'
## Usage
| [
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"## Usage"
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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":... | trsdimi/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-06T15:20:02+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# 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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audio-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. -->
# wav2vec2-base-MELD_SER-finetuned
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["DavidCombei/Wav2Vec_MELD"], "metrics": ["accuracy"], "model-index": [{"name": "wav2vec2-base-MELD_SER-finetuned", "results": []}]} | DavidCombei/wav2vec2-base-MELD_SER-finetuned | null | [
"transformers",
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"tensorboard",
"wav2vec2",
"audio-classification",
"generated_from_trainer",
"en",
"dataset:DavidCombei/Wav2Vec_MELD",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T15:23:37+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #tensorboard #wav2vec2 #audio-classification #generated_from_trainer #en #dataset-DavidCombei/Wav2Vec_MELD #license-apache-2.0 #endpoints_compatible #region-us
|
# wav2vec2-base-MELD_SER-finetuned
This model is a fine-tuned version of facebook/wav2vec2-base made for emotion classification, trained with MELD dataset preprocessed with denoiser + 30dB trimming.
It achieves the following results on the evaluation set:
- Accuracy: 0.4801
## emotions labeling :
anger = 0;
dis... | [
"# wav2vec2-base-MELD_SER-finetuned\n\nThis model is a fine-tuned version of facebook/wav2vec2-base made for emotion classification, trained with MELD dataset preprocessed with denoiser + 30dB trimming.\nIt achieves the following results on the evaluation set:\n\n- Accuracy: 0.4801",
"## emotions labeling : \n\na... | [
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text-generation | transformers |
# LightChatAssistant-4x7B
[GGUF版はこちら/Click here for the GGUF version](https://huggingface.co/Aratako/LightChatAssistant-4x7B-GGUF)
## 概要
[Sdff-Ltba/LightChatAssistant-2x7B](https://huggingface.co/Sdff-Ltba/LightChatAssistant-2x7B)と全く同じ手法を用いつつ、対象を4モデルに拡張してそれらをMoEしたモデルです。素晴らしい手法を提案いただいた[@Sdff-Ltba](https://huggingface.... | {"language": ["ja"], "license": "apache-2.0", "tags": ["mistral", "mixtral", "not-for-all-audiences", "nsfw"], "base_model": ["NTQAI/chatntq-ja-7b-v1.0", "stabilityai/japanese-stablelm-instruct-gamma-7b", "Elizezen/Antler-7B", "Elizezen/Hameln-japanese-mistral-7B"]} | Aratako/LightChatAssistant-4x7B | null | [
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"mixtral",
"text-generation",
"mistral",
"not-for-all-audiences",
"nsfw",
"ja",
"base_model:NTQAI/chatntq-ja-7b-v1.0",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-06T15:26:02+00:00 | [] | [
"ja"
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|
# LightChatAssistant-4x7B
GGUF版はこちら/Click here for the GGUF version
## 概要
Sdff-Ltba/LightChatAssistant-2x7Bと全く同じ手法を用いつつ、対象を4モデルに拡張してそれらをMoEしたモデルです。素晴らしい手法を提案いただいた@Sdff-Ltbaさんに感謝します。
モデルサイズは大きくなっていますが、推論に同時に使われるエキスパートは2つなので、GPUにオフロードさえできれば元のSdff-Ltba/LightChatAssistant-2x7Bとほぼ同じような速度で動きます。
以下の4モデルをChat Vectorの加算によっ... | [
"# LightChatAssistant-4x7B\nGGUF版はこちら/Click here for the GGUF version",
"## 概要\nSdff-Ltba/LightChatAssistant-2x7Bと全く同じ手法を用いつつ、対象を4モデルに拡張してそれらをMoEしたモデルです。素晴らしい手法を提案いただいた@Sdff-Ltbaさんに感謝します。\n\nモデルサイズは大きくなっていますが、推論に同時に使われるエキスパートは2つなので、GPUにオフロードさえできれば元のSdff-Ltba/LightChatAssistant-2x7Bとほぼ同じような速度で動きます。\n\n\n以下の4モデルをCh... | [
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text-generation | null |
# teneriffa/Qwen1.5-32B-Q4_0-GGUF
This model was converted to GGUF format from [`Qwen/Qwen1.5-32B`](https://huggingface.co/Qwen/Qwen1.5-32B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Qwen/Qwen1.... | {"language": ["en"], "license": "other", "tags": ["pretrained", "llama-cpp", "gguf-my-repo"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | teneriffa/Qwen1.5-32B-Q4_0-GGUF | null | [
"gguf",
"pretrained",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:other",
"region:us"
] | null | 2024-04-06T15:26:19+00:00 | [] | [
"en"
] | TAGS
#gguf #pretrained #llama-cpp #gguf-my-repo #text-generation #en #license-other #region-us
|
# teneriffa/Qwen1.5-32B-Q4_0-GGUF
This model was converted to GGUF format from 'Qwen/Qwen1.5-32B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can ... | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | Rktrillio/xxxxx | null | [
"fastai",
"region:us"
] | null | 2024-04-06T15:27:45+00:00 | [] | [] | TAGS
#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
3. Join the fastai community on the ... | [
"# Amazing!\n\n Congratulations on hosting your fastai model on the Hugging Face Hub!",
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text-generation | transformers |
# CalmExperiment-7B-slerp
CalmExperiment-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
* [MaziyarPanahi/Calme-7B-Instruct-v0.9](htt... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "yam-peleg/Experiment26-7B", "MaziyarPanahi/Calme-7B-Instruct-v0.9"], "base_model": ["yam-peleg/Experiment26-7B", "MaziyarPanahi/Calme-7B-Instruct-v0.9"]} | allknowingroger/CalmExperiment-7B-slerp | null | [
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"mistral",
"text-generation",
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"base_model:MaziyarPanahi/Calme-7B-Instruct-v0.9",
"license:apache-2.0",
"autotrain_c... | null | 2024-04-06T15:28:10+00:00 | [] | [] | TAGS
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# CalmExperiment-7B-slerp
CalmExperiment-7B-slerp is a merge of the following models using LazyMergekit:
* yam-peleg/Experiment26-7B
* MaziyarPanahi/Calme-7B-Instruct-v0.9
## Configuration
## Usage
| [
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"## Configuration",
"## Usage"
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text-generation | transformers |
# YamT3qm7xp_ShadowOgno
YamT3qm7xp_ShadowOgno is a merge of the following models:
* ['automerger/YamT3qm7xp-7B'](https://huggingface.co/'automerger/YamT3qm7xp-7B')
* ['automerger/ShadowOgno-7B'](https://huggingface.co/'automerger/ShadowOgno-7B')
## 💻 Usage
```python
!pip install -qU transformers accelerate
from... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamT3qm7xp_ShadowOgno", "base_model": ["automerger/YamT3qm7xp-7B", "automerger/ShadowOgno-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPanahi"... | MaziyarPanahi/YamT3qm7xp_ShadowOgno | null | [
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"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamT3qm7xp-7B",
"base_model:automerger/ShadowOgno-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-06T15:28:16+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamT3qm7xp-7B #base_model-automerger/ShadowOgno-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamT3qm7xp_ShadowOgno
YamT3qm7xp_ShadowOgno is a merge of the following models:
* 'automerger/YamT3qm7xp-7B'
* 'automerger/ShadowOgno-7B'
## Usage
| [
"# YamT3qm7xp_ShadowOgno\n\nYamT3qm7xp_ShadowOgno is a merge of the following models:\n* 'automerger/YamT3qm7xp-7B'\n* 'automerger/ShadowOgno-7B'",
"## 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. -->
# results
This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
It achi... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1", "accuracy"], "base_model": "roberta-large", "model-index": [{"name": "results", "results": []}]} | VijendraUmath/results | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T15:28:55+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-large #license-mit #autotrain_compatible #endpoints_compatible #region-us
| results
=======
This model is a fine-tuned version of roberta-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0605
* F1: 0.9264
* Roc Auc: 0.9583
* Accuracy: 0.9364
Model description
-----------------
More information needed
Intended uses & limitations
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.003\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: 7",
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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<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/WizardLM-WizardMath-7B-V1.0-bnb-4bit-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 |
# Experiment26Yam_Experiment24Yam
Experiment26Yam_Experiment24Yam is a merge of the following models:
* ['automerger/Experiment26Yam-7B'](https://huggingface.co/'automerger/Experiment26Yam-7B')
* ['automerger/Experiment24Yam-7B'](https://huggingface.co/'automerger/Experiment24Yam-7B')
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Yam_Experiment24Yam", "base_model": ["automerger/Experiment26Yam-7B", "automerger/Experiment24Yam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_... | MaziyarPanahi/Experiment26Yam_Experiment24Yam | null | [
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|
# Experiment26Yam_Experiment24Yam
Experiment26Yam_Experiment24Yam is a merge of the following models:
* 'automerger/Experiment26Yam-7B'
* 'automerger/Experiment24Yam-7B'
## Usage
| [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_doub... | {"library_name": "peft"} | RohitSahoo/llama-2-7b-chat-ht-math-ft-V0 | null | [
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_doub... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
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#peft #region-us
| ## Training procedure
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- load_in_4bit: True
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- llm_int8_enable_fp32_cpu_offload: False
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- bnb_4bit_quant_type: fp4
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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. -->
# 4_datasets_fake_news_with_Balanced_With_add_one_sentence
This model is a fine-tuned version of [distilbert-base-uncased](https:/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "4_datasets_fake_news_with_Balanced_With_add_one_sentence", "results": []}]} | littlepinhorse/4_datasets_fake_news_with_Balanced_With_add_one_sentence | null | [
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] | null | 2024-04-06T15:31:23+00:00 | [] | [] | TAGS
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|
# 4_datasets_fake_news_with_Balanced_With_add_one_sentence
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0532
- Accuracy: 0.9872
- F1: 0.9871
## Model description
More information needed
## Intended uses & lim... | [
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text-generation | transformers | This is a depth up scalled model of the 616M cinder model and Cinder v2. This model still needs further training. Putting it up for testing. More information coming. Maybe. Lol. Here is a brief desc of the project: Im mixing a lot of techniques I guess that I found interesting and have been testing, HF Cosmo is not gre... | {"license": "mit"} | Josephgflowers/Tinyllama-1.5B-Cinder-Test-4 | null | [
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#transformers #safetensors #llama #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| This is a depth up scalled model of the 616M cinder model and Cinder v2. This model still needs further training. Putting it up for testing. More information coming. Maybe. Lol. Here is a brief desc of the project: Im mixing a lot of techniques I guess that I found interesting and have been testing, HF Cosmo is not gre... | [] | [
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null | null |
# NeuralPipe-7B-slerp
NeuralPipe-7B-slerp is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [OpenPipe/mistral-ft-optimized-1218](https://huggingface.co/OpenPipe/mistral-ft-optimized-1218)
* [mlabo... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"], "base_model": ["OpenPipe/mistral-ft-optimized-1218", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | rochtar/NeuralPipe-7B-slerp | null | [
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"base_model:mlabonne/NeuralHermes-2.5-Mistral-7B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-06T15:33:17+00:00 | [] | [] | TAGS
#moe #frankenmoe #merge #mergekit #lazymergekit #OpenPipe/mistral-ft-optimized-1218 #mlabonne/NeuralHermes-2.5-Mistral-7B #base_model-OpenPipe/mistral-ft-optimized-1218 #base_model-mlabonne/NeuralHermes-2.5-Mistral-7B #license-apache-2.0 #region-us
|
# NeuralPipe-7B-slerp
NeuralPipe-7B-slerp is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* OpenPipe/mistral-ft-optimized-1218
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
## Usage
| [
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text-generation | transformers |
# M7Yamshadowexperiment28_YamshadowExperiment27pastiche
M7Yamshadowexperiment28_YamshadowExperiment27pastiche is a merge of the following models:
* ['automerger/M7Yamshadowexperiment28-7B'](https://huggingface.co/'automerger/M7Yamshadowexperiment28-7B')
* ['automerger/YamshadowExperiment27pastiche-7B'](https://huggin... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_YamshadowExperiment27pastiche", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/YamshadowExperiment27pastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "p... | MaziyarPanahi/M7Yamshadowexperiment28_YamshadowExperiment27pastiche | null | [
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"license:apache-2.0",
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|
# M7Yamshadowexperiment28_YamshadowExperiment27pastiche
M7Yamshadowexperiment28_YamshadowExperiment27pastiche is a merge of the following models:
* 'automerger/M7Yamshadowexperiment28-7B'
* 'automerger/YamshadowExperiment27pastiche-7B'
## 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/Intel-neural-chat-7b-v3-3-bnb-4bit-smashed | null | [
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#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-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... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-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 compr... |
null | null |
# LightChatAssistant-4x7B-GGUF
## 概要
[Aratako/LightChatAssistant-4x7B](https://huggingface.co/Aratako/LightChatAssistant-4x7B)の量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | {"language": ["ja"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "nsfw"]} | Aratako/LightChatAssistant-4x7B-GGUF | null | [
"gguf",
"not-for-all-audiences",
"nsfw",
"ja",
"license:apache-2.0",
"region:us"
] | null | 2024-04-06T15:37:07+00:00 | [] | [
"ja"
] | TAGS
#gguf #not-for-all-audiences #nsfw #ja #license-apache-2.0 #region-us
|
# LightChatAssistant-4x7B-GGUF
## 概要
Aratako/LightChatAssistant-4x7Bの量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。 | [
"# LightChatAssistant-4x7B-GGUF",
"## 概要\nAratako/LightChatAssistant-4x7Bの量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。"
] | [
"TAGS\n#gguf #not-for-all-audiences #nsfw #ja #license-apache-2.0 #region-us \n",
"# LightChatAssistant-4x7B-GGUF",
"## 概要\nAratako/LightChatAssistant-4x7Bの量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。"
] | [
31,
16,
53
] | [
"TAGS\n#gguf #not-for-all-audiences #nsfw #ja #license-apache-2.0 #region-us \n# LightChatAssistant-4x7B-GGUF## 概要\nAratako/LightChatAssistant-4x7Bの量子化済みGGUF版です。ライセンス等詳細は元モデルをご確認ください。"
] |
text-generation | transformers |
# Experiment28T3q_Experiment24Experiment28
Experiment28T3q_Experiment24Experiment28 is a merge of the following models:
* ['automerger/Experiment28T3q-7B'](https://huggingface.co/'automerger/Experiment28T3q-7B')
* ['automerger/Experiment24Experiment28-7B'](https://huggingface.co/'automerger/Experiment24Experiment28-7... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28T3q_Experiment24Experiment28", "base_model": ["automerger/Experiment28T3q-7B", "automerger/Experiment24Experiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-genera... | MaziyarPanahi/Experiment28T3q_Experiment24Experiment28 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28T3q-7B",
"base_model:automerger/Experiment24Experiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-06T15:37:13+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/Experiment24Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28T3q_Experiment24Experiment28
Experiment28T3q_Experiment24Experiment28 is a merge of the following models:
* 'automerger/Experiment28T3q-7B'
* 'automerger/Experiment24Experiment28-7B'
## Usage
| [
"# Experiment28T3q_Experiment24Experiment28\n\nExperiment28T3q_Experiment24Experiment28 is a merge of the following models:\n* 'automerger/Experiment28T3q-7B'\n* 'automerger/Experiment24Experiment28-7B'",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/Experiment24Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# Experiment28T3q_Experiment24Experiment28\n\nExperimen... | [
79,
67,
3
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28T3q-7B #base_model-automerger/Experiment24Experiment28-7B #license-apache-2.0 #autotrain_compatible #region-us \n# Experiment28T3q_Experiment24Experiment28\n\nExperiment28T3q... |
text-generation | transformers |
# Experiment26Neuralsirkrishna_Experiment29Multi_verse_model
Experiment26Neuralsirkrishna_Experiment29Multi_verse_model is a merge of the following models:
* ['automerger/Experiment26Neuralsirkrishna-7B'](https://huggingface.co/'automerger/Experiment26Neuralsirkrishna-7B')
* ['automerger/Experiment29Multi_verse_model... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26Neuralsirkrishna_Experiment29Multi_verse_model", "base_model": ["automerger/Experiment26Neuralsirkrishna-7B", "automerger/Experiment29Multi_verse_model-7B"], "inference": false, "model_creator": "MaziyarP... | MaziyarPanahi/Experiment26Neuralsirkrishna_Experiment29Multi_verse_model | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment26Neuralsirkrishna-7B",
"base_model:automerger/Experiment29Multi_verse_model-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-06T15:37:34+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Neuralsirkrishna-7B #base_model-automerger/Experiment29Multi_verse_model-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment26Neuralsirkrishna_Experiment29Multi_verse_model
Experiment26Neuralsirkrishna_Experiment29Multi_verse_model is a merge of the following models:
* 'automerger/Experiment26Neuralsirkrishna-7B'
* 'automerger/Experiment29Multi_verse_model-7B'
## Usage
| [
"# Experiment26Neuralsirkrishna_Experiment29Multi_verse_model\n\nExperiment26Neuralsirkrishna_Experiment29Multi_verse_model is a merge of the following models:\n* 'automerger/Experiment26Neuralsirkrishna-7B'\n* 'automerger/Experiment29Multi_verse_model-7B'",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Neuralsirkrishna-7B #base_model-automerger/Experiment29Multi_verse_model-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# Experiment26Neuralsirkrishna_Experi... | [
82,
76,
3
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment26Neuralsirkrishna-7B #base_model-automerger/Experiment29Multi_verse_model-7B #license-apache-2.0 #autotrain_compatible #region-us \n# Experiment26Neuralsirkrishna_Experiment29... |
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