Text Generation
PEFT
Safetensors
lora
spectral-surgery
training-seed-replication
b300
code
seed-44
conversational
Instructions to use tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44: direct link, hf CLI and curl.
- Browser
- Download file 12.3 kB
-
https://huggingface.co/tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44/resolve/main/trainer_state.json
- Command line
-
hf download hf://tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/tianzl66/Qwen3-8B-Magicoder-50K-LoRA-E1-Seed44/resolve/main/trainer_state.json
12.3 kB
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