Instructions to use prvnsmpth/qwen2.5-coder-14b-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prvnsmpth/qwen2.5-coder-14b-finetune with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("prvnsmpth/qwen2.5-coder-14b-finetune", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use prvnsmpth/qwen2.5-coder-14b-finetune with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for prvnsmpth/qwen2.5-coder-14b-finetune to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for prvnsmpth/qwen2.5-coder-14b-finetune to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for prvnsmpth/qwen2.5-coder-14b-finetune to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="prvnsmpth/qwen2.5-coder-14b-finetune", max_seq_length=2048, )
qwen2.5-coder-14b-finetune
This model is a fine-tune of Qwen 2.5 Coder 14B on code from a single repo.
More details: https://prvn.sh/build-your-own-github-copilot/
How to Get Started with the Model
See Jupyter notebook here: https://github.com/prvnsmpth/finetune-code-assistant
Training Details
Training Data
Training data was generated from source files in https://github.com/hcengineering/platform. Dataset generation script: https://github.com/prvnsmpth/finetune-code-assistant/tree/master/src/dataset_gen
Evaluation
The model was tested on a 2% holdout of source files in the target repository.
Metrics
- Exact match
- Corpus BLEU score
Summary
The fine-tuned model shows a 47% uplift in exact match FIM performance versus the baseline.
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Model tree for prvnsmpth/qwen2.5-coder-14b-finetune
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