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
Upload README.md with huggingface_hub
Browse files
README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
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tags:
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- angular
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- lora
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- mlx
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library_name: mlx
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---
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# angular-coder-1.5b-lora
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The LoRA adapter behind `bharathmuppa/angular-coder-1.5b`. Apply it to
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`Qwen/Qwen2.5-Coder-1.5B-Instruct` with `mlx-lm`:
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```sh
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python -m mlx_lm generate --model Qwen/Qwen2.5-Coder-1.5B-Instruct \
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--adapter-path <this repo, downloaded> --prompt "What is new in Angular 20?"
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```
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Rank 16, scale 20, dropout 0.05, last 16 layers, keys: q/k/v/o projections and
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gate/up/down MLP projections. See the fused model card for data and training details.
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