Instructions to use bharathmuppa/angular-coder-1.5b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use bharathmuppa/angular-coder-1.5b-lora with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download bharathmuppa/angular-coder-1.5b-lora --local-dir angular-coder-1.5b-lora
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
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Download README.md from bharathmuppa/angular-coder-1.5b-lora: direct link, hf CLI and curl.
- Browser
- Download file 600 Bytes
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https://huggingface.co/bharathmuppa/angular-coder-1.5b-lora/resolve/main/README.md
- Command line
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hf download hf://bharathmuppa/angular-coder-1.5b-lora/README.md
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curl -L -o README.md https://huggingface.co/bharathmuppa/angular-coder-1.5b-lora/resolve/main/README.md
600 Bytes
| license: apache-2.0 | |
| base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct | |
| tags: | |
| - angular | |
| - lora | |
| - mlx | |
| library_name: mlx | |
| # angular-coder-1.5b-lora | |
| The LoRA adapter behind `bharathmuppa/angular-coder-1.5b`. Apply it to | |
| `Qwen/Qwen2.5-Coder-1.5B-Instruct` with `mlx-lm`: | |
| ```sh | |
| python -m mlx_lm generate --model Qwen/Qwen2.5-Coder-1.5B-Instruct \ | |
| --adapter-path <this repo, downloaded> --prompt "What is new in Angular 20?" | |
| ``` | |
| Rank 16, scale 20, dropout 0.05, last 16 layers, keys: q/k/v/o projections and | |
| gate/up/down MLP projections. See the fused model card for data and training details. | |