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DeepSeek-V4-Flash-MTP-bf16

mlx-community/DeepSeek-V4-Flash-MTP-bf16
bf16 Open on Hugging Face
Parameters
6.6B
Weights (est.)
≈ 26.4 GB
Mac memory (est.)
32 GB+

Size is estimated from the parameter count and quantisation. Memory allows a fifth extra for context plus 2 GB for the system; long contexts need more.

Run it

With mlx-lm on an Apple silicon Mac:

pip install mlx-lmmlx_lm.generate --model mlx-community/DeepSeek-V4-Flash-MTP-bf16 --prompt "Hello"

Details

Base model
deepseek-ai/DeepSeek-V4-Flash (quantized) · DeepSeek V4 Flash on the radar →
Vendor
DeepSeek
Task
Text generation
Quantisation
bf16
Licence
mit
Downloads
130 in the last 30 days · 9.8K all time · 1 likes
Published
2026-05-27 · updated 2026-06-01 (5mo ago)
Languages
en
Tags
deepseek_v4_mtp, mlx-vlm, deepseek-v4, deepseek-v4-flash, speculative-decoding, draft-model, bf16

Other MLX builds of deepseek-ai/DeepSeek-V4-Flash

Build Quantisation Weights Mac memory Downloads
DeepSeek-V4-Flash-MTP-bf16 (this one) bf16 ≈ 26.4 GB 32 GB+ 130
DeepSeek-V4-Flash 8-bit ≈ 53.9 GB 64 GB+ 673
DeepSeek-V4-Flash-2bit-M-DQ 2-bit ≈ 89.1 GB 128 GB+ 129
deepseek-ai-DeepSeek-V4-Flash-3bit 3-bit ≈ 125 GB 192 GB+ 102
DeepSeek-V4-Flash-3bit-DQ 3-bit ≈ 125 GB 192 GB+ 102
deepseek-ai-DeepSeek-V4-Flash-4bit 4-bit ≈ 160 GB 192 GB+ 252
deepseek-ai-DeepSeek-V4-Flash-6bit 6-bit ≈ 231 GB 512 GB+ 132
deepseek-ai-DeepSeek-V4-Flash-8bit 8-bit ≈ 302 GB 512 GB+ 642