Text Generation
PEFT
Safetensors
English
lora
qwen2.5
qwen2.5-coder
code
reasoning
pedagogy
fine-tuned
conversational
Instructions to use mechramc/codek-qwen2.5-coder-7b-lora-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mechramc/codek-qwen2.5-coder-7b-lora-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "mechramc/codek-qwen2.5-coder-7b-lora-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65abd033e0a7c967ea5a364fcdc5d2f7c39faa63decf0bc16fd5f0f79e72ff72
- Size of remote file:
- 5.71 kB
- SHA256:
- 5d6c988dda3cfc875cecfd70b424a3c98e08b8a7321a6d236e2b3a5e887495a7
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