Instructions to use tuandunghcmut/Qwen25_Coder_MultipleChoice_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuandunghcmut/Qwen25_Coder_MultipleChoice_v4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "tuandunghcmut/Qwen25_Coder_MultipleChoice_v4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Commit History
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Training in progress, step 600, checkpoint
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Training in progress, step 600
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Training in progress, step 540, checkpoint
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Training in progress, step 540
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Training in progress, step 480, checkpoint
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Training in progress, step 480
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Training in progress, step 420, checkpoint
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Training in progress, step 420
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Best model at step 390 with eval_loss=0.5559 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk
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Training in progress, step 360, checkpoint
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Training in progress, step 360
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Best model at step 330 with eval_loss=0.5807 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk
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Training in progress, step 300, checkpoint
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Training in progress, step 300
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Training in progress, step 240, checkpoint
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Training in progress, step 240
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Best model at step 240 with eval_loss=0.5921 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk
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Best model at step 210 with eval_loss=0.6266 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk
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Training in progress, step 180, checkpoint
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Training in progress, step 180
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Best model at step 180 with eval_loss=0.6672 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk
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Best model at step 150 with eval_loss=0.6800 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk
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Training in progress, step 120, checkpoint
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Training in progress, step 120
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Best model at step 120 with eval_loss=0.7461 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk
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Best model at step 90 with eval_loss=0.8272 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk
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Training in progress, step 60, checkpoint
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Training in progress, step 60
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Best model at step 60 with eval_loss=1.1265 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk
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Best model at step 30 with eval_loss=1.4712 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk
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Best model at step 0 with eval_loss=1.6147 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/k00n15pk
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Best model at step 0 with eval_loss=1.6147 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/lwsfkh2s
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Best model at step 0 with eval_loss=1.6147 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/dbs4do3v
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Best model at step 0 with eval_loss=1.6147 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/9c0w9tu1
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Best model at step 0 with eval_loss=1.6147 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/62a2gru6
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Best model at step 0 with eval_loss=1.6159 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/mogvuhlj
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Best model at step 0 with eval_loss=1.6159 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/jk9ss5nm
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Best model at step 0 with eval_loss=1.6159 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/fcy7oodc
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Best model at step 0 with eval_loss=1.6159 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/5st2adgs
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Best model at step 0 with eval_loss=1.6159 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/z03xszie
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Best model at step 0 with eval_loss=1.5860 | WandB Run: https://wandb.ai/tuandung/Qwen2.5-Coder-1.5B-Instruct-LoRA-Training/runs/p2mqw8j8
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Best model at step 0 with eval_loss=1.5860
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initial commit
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