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v2ray
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GPT4chan-24B

Text Generation
Transformers
Safetensors
English
mistral
text-generation-inference
Inference Endpoints
Model card Files Community
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Uploaded better trained version.

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  1. README.md +3 -1
  2. model-00001-of-00005.safetensors +1 -1
  3. model-00002-of-00005.safetensors +1 -1
  4. model-00003-of-00005.safetensors +1 -1
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README.md CHANGED
@@ -10,9 +10,11 @@ pipeline_tag: text-generation
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  library_name: transformers
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  ---
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  # GPT4chan 24B
 
 
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  This model is [mistralai/Mistral-Small-24B-Base-2501](https://huggingface.co/mistralai/Mistral-Small-24B-Base-2501) merged with [v2ray/GPT4chan-24B-QLoRA](https://huggingface.co/v2ray/GPT4chan-24B-QLoRA).
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- Trained using 8x H100 with global batch size 64, using 2e-4 learning rate, for 800 steps, which is approximately 1 epoch.
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  ## Prompt Format
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  ```
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  board<|start_header_id|>id<|end_header_id|>content<|start_header_id|>id<|end_header_id|>content...<|start_header_id|>id<|end_header_id|>
 
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  library_name: transformers
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  ---
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  # GPT4chan 24B
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+ ![GPT4chan Banner](https://huggingface.co/v2ray/GPT4chan-24B-QLoRA/resolve/main/images/banner.avif)
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+
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  This model is [mistralai/Mistral-Small-24B-Base-2501](https://huggingface.co/mistralai/Mistral-Small-24B-Base-2501) merged with [v2ray/GPT4chan-24B-QLoRA](https://huggingface.co/v2ray/GPT4chan-24B-QLoRA).
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+ Trained using 8x H100 with global batch size 64, using 2e-4 learning rate, for 4000 steps, which is approximately 5 epochs.
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  ## Prompt Format
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  ```
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  board<|start_header_id|>id<|end_header_id|>content<|start_header_id|>id<|end_header_id|>content...<|start_header_id|>id<|end_header_id|>
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