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llama2_7b_mt

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totetecdev/llama2mt

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Files changed (7) hide show
  1. README.md +6 -6
  2. adapter_config.json +36 -32
  3. adapter_model.safetensors +2 -2
  4. special_tokens_map.json +24 -16
  5. tokenizer.json +2 -2
  6. tokenizer_config.json +43 -2063
  7. training_args.bin +2 -2
README.md CHANGED
@@ -1,5 +1,5 @@
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  ---
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- base_model: meta-llama/Meta-Llama-3-8B
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  library_name: transformers
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  model_name: results
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  tags:
@@ -11,7 +11,7 @@ licence: license
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  # Model Card for results
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- This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
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  ## Quick start
@@ -36,9 +36,9 @@ This model was trained with SFT.
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  - TRL: 0.15.2
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  - Transformers: 4.49.0
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- - Pytorch: 2.5.1+cu124
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- - Datasets: 3.3.2
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- - Tokenizers: 0.21.0
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  ## Citations
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@@ -49,7 +49,7 @@ Cite TRL as:
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  ```bibtex
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  @misc{vonwerra2022trl,
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  title = {{TRL: Transformer Reinforcement Learning}},
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- author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
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  year = 2020,
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  journal = {GitHub repository},
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  publisher = {GitHub},
 
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  ---
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+ base_model: meta-llama/Llama-2-7b-hf
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  library_name: transformers
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  model_name: results
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  tags:
 
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  # Model Card for results
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+ This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
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  ## Quick start
 
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  - TRL: 0.15.2
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  - Transformers: 4.49.0
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+ - Pytorch: 2.6.0+cu118
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+ - Datasets: 3.4.0
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+ - Tokenizers: 0.21.1
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  ## Citations
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  ```bibtex
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  @misc{vonwerra2022trl,
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  title = {{TRL: Transformer Reinforcement Learning}},
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+ author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
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  year = 2020,
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  journal = {GitHub repository},
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  publisher = {GitHub},
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