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  1. README.md +6 -6
  2. generation_config.json +2 -3
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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- base_model: HuggingFaceTB/SmolLM2-135M-Instruct
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  library_name: transformers
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- model_name: SmolLM2-135M-Instruct_tldr-sft
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  tags:
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  - generated_from_trainer
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  - trl
@@ -9,9 +9,9 @@ tags:
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  licence: license
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  ---
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- # Model Card for SmolLM2-135M-Instruct_tldr-sft
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- This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
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  ## Quick start
@@ -20,14 +20,14 @@ It has been trained using [TRL](https://github.com/huggingface/trl).
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  from transformers import pipeline
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  question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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- generator = pipeline("text-generation", model="mnoukhov/SmolLM2-135M-Instruct_tldr-sft", device="cuda")
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  output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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  print(output["generated_text"])
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  ```
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  ## Training procedure
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/mnoukhov/bpo/runs/5586569_sft_smol135m)
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  This model was trained with SFT.
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  ---
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+ base_model: HuggingFaceTB/SmolLM2-135M
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  library_name: transformers
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+ model_name: SmolLM2-135M-tldr-sft
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  tags:
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  - generated_from_trainer
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  - trl
 
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  licence: license
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  ---
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+ # Model Card for SmolLM2-135M-tldr-sft
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+ This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M).
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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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  from transformers import pipeline
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  question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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+ generator = pipeline("text-generation", model="mnoukhov/SmolLM2-135M-tldr-sft", device="cuda")
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  output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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  print(output["generated_text"])
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  ```
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  ## Training procedure
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/mnoukhov/bpo/runs/5586883_sft_smol135m)
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  This model was trained with SFT.
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generation_config.json CHANGED
@@ -1,7 +1,6 @@
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  {
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  "_from_model_config": true,
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- "bos_token_id": 1,
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- "eos_token_id": 2,
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- "pad_token_id": 2,
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  "transformers_version": "4.46.2"
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  }
 
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  {
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  "_from_model_config": true,
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+ "bos_token_id": 0,
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+ "eos_token_id": 0,
 
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  "transformers_version": "4.46.2"
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  }