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End of training

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  1. README.md +6 -6
  2. adapter_model.safetensors +1 -1
README.md CHANGED
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  ---
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- base_model: unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit
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  library_name: transformers
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- model_name: ijf_chat_1ep_Qwen2.5-7B-Instruct
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  tags:
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  - generated_from_trainer
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  - unsloth
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  licence: license
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  ---
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- # Model Card for ijf_chat_1ep_Qwen2.5-7B-Instruct
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- This model is a fine-tuned version of [unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
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  ## Quick start
@@ -21,14 +21,14 @@ 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="juliadollis/ijf_chat_1ep_Qwen2.5-7B-Instruct", 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/juliadollis-federal-university-of-goi-s/TOXIC/runs/yqfh3yq8)
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  This model was trained with SFT.
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  ---
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+ base_model: unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit
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  library_name: transformers
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+ model_name: ijf_5ep_Qwen2.5-3B-Instruct
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  tags:
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  - generated_from_trainer
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  - unsloth
 
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  licence: license
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  ---
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+ # Model Card for ijf_5ep_Qwen2.5-3B-Instruct
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+ This model is a fine-tuned version of [unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit).
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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="juliadollis/ijf_5ep_Qwen2.5-3B-Instruct", 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/juliadollis-federal-university-of-goi-s/TOXIC/runs/49xsaic7)
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  This model was trained with SFT.
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@@ -1,3 +1,3 @@
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