Qwen3.8-Smol-uo

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Qwen3.8-Smol-uo

An MLX LoRA fine-tune of Qwen/Qwen3.5-0.8B on the r0b0tlab/qwen3.8-max-distillation-50k dataset.

This repository contains the converted MLX base model and the final LoRA adapter. It is intended for Apple Silicon with mlx-lm.

Quick start

pip install mlx-lm
hf download North-ML1/Qwen3.8-Smol-uo --local-dir ./Qwen3.8-Smol-uo
mlx_lm.generate \
  --model ./Qwen3.8-Smol-uo \
  --adapter-path ./Qwen3.8-Smol-uo \
  --prompt "Explain gradient accumulation in one sentence." \
  --max-tokens 80

The adapter was trained with four LoRA layers, rank 8, scale 16, a maximum sequence length of 512, and 400 continuation steps from a saved step-100 checkpoint. Final test loss was 0.820 (perplexity 2.271).

This is an MLX-format text model and is not a Transformers/PyTorch checkpoint.

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Part of North ML - open weights, honest numbers.