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llama
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@@ -3,6 +3,7 @@ datasets:
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  - PJMixers-Dev/Nelathan_synthetic-sugar-quill-cleaner
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  base_model:
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  - meta-llama/Llama-3.2-1B
 
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  ---
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  # PJMixers-Dev/LLaMa-3.2-Text-Cleaner-v0.1-1B
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@@ -10,6 +11,10 @@ Model was trained at 16,384 max length, so potentially 8K input 8K output. Model
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  Probably not good for cleaning something you need to be 100% accurate to the original, like educational texts, but probably fine for cleaning creative writing datasets.
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  ## Prompt format
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  ```
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  <|begin_of_text|><|unclean_text|>Put your uncleaned text here.<|unclean_text|>The model will repond with a cleaned version here.<|end_of_text|>
@@ -145,4 +150,4 @@ special_tokens:
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  eos_token: "<|end_of_text|>"
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  pad_token: "<|finetune_right_pad_id|>"
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  tokens:
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- ```
 
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  - PJMixers-Dev/Nelathan_synthetic-sugar-quill-cleaner
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  base_model:
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  - meta-llama/Llama-3.2-1B
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+ license: llama3.2
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  ---
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  # PJMixers-Dev/LLaMa-3.2-Text-Cleaner-v0.1-1B
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  Probably not good for cleaning something you need to be 100% accurate to the original, like educational texts, but probably fine for cleaning creative writing datasets.
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+ ## Quants
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+
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+ - [GGUF](https://huggingface.co/PJMixers-Dev/LLaMa-3.2-Text-Cleaner-v0.1-1B-GGUF)
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+
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  ## Prompt format
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  ```
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  <|begin_of_text|><|unclean_text|>Put your uncleaned text here.<|unclean_text|>The model will repond with a cleaned version here.<|end_of_text|>
 
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  eos_token: "<|end_of_text|>"
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  pad_token: "<|finetune_right_pad_id|>"
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  tokens:
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+ ```