--- license: apache-2.0 base_model: Qwen/Qwen2.5-1.5B-Instruct pipeline_tag: text-generation library_name: mlx tags: - mlx - quantized - qwen2 --- # Qwen2.5-1.5B-Instruct-MLX-4bit Plain affine 4-bit (group-size 32) MLX quantization of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct). This is the baseline sibling of the DWQ pack — for higher quality at the same size and bit-width, use the DWQ variant (perplexity 9.45 vs 9.86 here). ## Variants | Variant | Size | Status | |---|---|---| | [Qwen2.5-1.5B-Instruct-MLX-8bit](https://huggingface.co/majentik/Qwen2.5-1.5B-Instruct-MLX-8bit) | 1.5 GB | teacher | | **Qwen2.5-1.5B-Instruct-MLX-4bit** | **0.93 GB** | **this repo — plain affine 4-bit (gs32)** | | [Qwen2.5-1.5B-Instruct-MLX-4bit-DWQ](https://huggingface.co/majentik/Qwen2.5-1.5B-Instruct-MLX-4bit-DWQ) | 0.93 GB | DWQ (recommended) | ## Reproduce ```bash python -m mlx_lm convert --hf-path Qwen/Qwen2.5-1.5B-Instruct \ --mlx-path Qwen2.5-1.5B-Instruct-MLX-4bit -q --q-bits 4 --q-group-size 32 ``` Group-size 32 per `docs/quantization-policy.md` rule 1 (doubles tunable scale/bias params at low bit width). ## Usage ```bash pip install mlx-lm python -m mlx_lm generate --model majentik/Qwen2.5-1.5B-Instruct-MLX-4bit \ --prompt "The capital of France is" ``` ## License Apache-2.0, inherited from the base model Qwen/Qwen2.5-1.5B-Instruct.