deeponh commited on
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Training in progress, step 100

Browse files
README.md CHANGED
@@ -1,18 +1,18 @@
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  ---
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- base_model: unsloth/Llama-3.2-3B
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  library_name: transformers
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- model_name: Nepali_8b_3b_D2
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  tags:
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  - generated_from_trainer
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- - unsloth
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- - sft
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  - trl
 
 
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  licence: license
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  ---
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- # Model Card for Nepali_8b_3b_D2
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- This model is a fine-tuned version of [unsloth/Llama-3.2-3B](https://huggingface.co/unsloth/Llama-3.2-3B).
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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="deeponh/Nepali_8b_3b_D2", 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/cneuralnets-ai4bharat/Nepali-distillation_2/runs/ghyna7eg)
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  This model was trained with SFT.
 
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  ---
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+ base_model: unsloth/Llama-3.1-8B
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  library_name: transformers
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+ model_name: Nepali_8b_8b_D1
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  tags:
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  - generated_from_trainer
 
 
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  - trl
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+ - sft
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+ - unsloth
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  licence: license
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  ---
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+ # Model Card for Nepali_8b_8b_D1
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+ This model is a fine-tuned version of [unsloth/Llama-3.1-8B](https://huggingface.co/unsloth/Llama-3.1-8B).
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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="deeponh/Nepali_8b_8b_D1", 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/cneuralnets-ai4bharat/Nepali-distillation_1/runs/lbj2zyuq)
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  This model was trained with SFT.
adapter_config.json CHANGED
@@ -25,13 +25,13 @@
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  "target_modules": [
 
 
 
 
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  "down_proj",
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- "q_proj",
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- "k_proj",
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- "v_proj",
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- "o_proj",
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- "up_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "trainable_token_indices": null,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "up_proj",
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+ "o_proj",
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+ "v_proj",
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+ "q_proj",
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  "gate_proj",
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  "down_proj",
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+ "k_proj"
 
 
 
 
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  ],
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  "task_type": "CAUSAL_LM",
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  "trainable_token_indices": null,
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