Instructions to use TiGa-RCE/Gemma-4-12B-Coder-Fable5-Composer2.5-oQ-Sweep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use TiGa-RCE/Gemma-4-12B-Coder-Fable5-Composer2.5-oQ-Sweep with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Gemma-4-12B-Coder-Fable5-Composer2.5-oQ-Sweep TiGa-RCE/Gemma-4-12B-Coder-Fable5-Composer2.5-oQ-Sweep
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 968 Bytes
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license: apache-2.0
base_model: yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1
library_name: mlx
tags:
- mlx
- quantized
- oq
- gemma4
- coding
---
# Gemma 4 12B Coder Fable5 Composer2.5 oQ Quantization Sweep
This repository is a public preservation archive for locally generated MLX quantizations of the 8-bit MLX conversion of [yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1](https://huggingface.co/yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1).
## Provenance
- Input conversion: `mlx-community/gemma-4-12b-coder-fable5-composer2.5-8bit`
- Base model: `google/gemma-4-12B-it`
- Original fine-tune: `yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1`
- Quantization: local oMLX/oQ affine MLX safetensors, group size 64
Each subdirectory is an independently loadable MLX artifact. The directory name is the intended quantization label. This archive preserves the local experiment lineage; it does not claim an upstream benchmark or quality guarantee.
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