DeepSeek-V4-Flash-6bit-mlx

lemuralabs/DeepSeek-V4-Flash-6bit-mlx is an Apple-Silicon MLX quantization of deepseek-ai/DeepSeek-V4-Flash.

No fine-tuning, distillation, or retraining was applied. The official mixed FP4/FP8 source weights were converted locally, the MTP head was dropped because it is not used for normal decode, and router/mHC/control tensors were preserved rather than aggressively quantized.

Model Details

Quantization Recipe

This is a normal MLX affine quantization, not JANGTQ/TurboQuant. Quantized tensors use the standard MLX triplet layout:

• .weight
• .scales
• .biases

Use with MLX

pip install -U mlx-lm

from mlx_lm import load, generate

model, tokenizer = load("lemuralabs/DeepSeek-V4-Flash-6bit-mlx")
prompt = "Write a short note about MLX quantization."
text = generate(model, tokenizer, prompt=prompt, verbose=True)
print(text)

For the DeepSeek-V4 official chat/message format, see the included encoding/ folder from the upstream repository.

Files

• model-*.safetensors: standard MLX affine shards
• model.safetensors.index.json: shard index
• config.json, jang_config.json: MLX metadata
• encoding/: upstream DeepSeek-V4 prompt encoding reference

Notes

The naming follows the common MLX category convention used by mlx-community/*-4bit / *-8bit uploads and the local Lemura Labs/*-6bit-mlx style, while the README keeps the explicit recipe/validation structure used by larger DeepSeek-V4 quant uploads.

License

MIT, following the upstream DeepSeek-V4-Flash release.