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
File size: 600 Bytes
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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.
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