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DeepSeek V4 Flash (FP4)

reasoningMITtools

DeepSeek V4 Flash — 284B-parameter Mixture-of-Experts (~13B active per token) with 1M-token context, Compressed Sparse Attention, and configurable Non-think / Think-High / Think-Max reasoning modes. On the `ds4` engine this is the July 2026 0731 re-post-trained checkpoint, which is substantially stronger at agentic and coding work than the original release. The llama.cpp (native FP4+FP8) and MLX sources still carry the original V4 Flash weights — upstream has not republished those builds for 0731 — so pick the ds4 source to get the newer checkpoint. Frontier-tier on-device reasoning for workstations and Mac Studio-class hardware — needs ~200 GB of usable memory.

At a glance

Parameters
284B
Quantization
FP4-FP8
Context window
1000K tokens
Approx. size
164.6 GB
Engines
llama.cpp, MLX
License
MIT (open)
Version
v1.1.0 , released 2026-08-01
Family
deepseek

Tuning

Defaults a gezel client applies out of the box, from real evaluation runs against this exact quantization.

sampling.maxTokens
16384
reasoning.thinkingBudget
4096
reasoning.enableThinking
true
profiles
thinking-general, thinking-coding, thinking-precise, instruct, creative

Model behaviors

Client-side behavior modules the catalog enables for this model (reasoning-tag handling, fabrication detection, prompt shaping).

Sources

llama.cpp (GGUF)
nsparks/DeepSeek-V4-Flash-FP4-FP8-GGUF · DeepSeek-V4-Flash-FP4-FP8-native.gguf · FP4-FP8
MLX
mlx-community/deepseek-ai-DeepSeek-V4-Flash-4bit
Upstream
https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash
Manifest
View on GitHub

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