Local AI Advisor

DeepSeek-V4-Flash-Vision-Exp on local hardware

Estimated comfort for repository coding with Aider on a MacBook Pro M4 Pro 48GB.

DeepSeek-V4-Flash-Vision-ExpOpen source

deepseek-ai · mit · 476,654 downloads

Hugging Face
Mixture of expertsVision
Parameters
305B exact
Active per token
≈34B (6 of 256 experts)
Context window
64K tokensRoPE-extended to 1M (quality degrades past native — treat long-context ratings as optimistic)
Attention
Sliding-window + global layers
Layers · KV heads · head dim
43 · 1 · 512
KV cache
0 KB/token · 0.0 GB at 32K
Tool calling
basic (inferred — no supporting signal)
Thinking
basic (inferred — no supporting signal)
Vision
good (from config)
Commercial use
allowedRetain the required license and attribution notices
Import confidence
medium · capabilities estimated

Weights by quantization

Q3_K_M

119 GB

gguf file size

Q4_K_M

144 GB

gguf file size

MXFP4

144 GB

gguf file size

  • • Uses a compressed / sparse attention scheme; KV-cache size is approximate.
  • • Context native 65536, rope-extended to 1048576 (yarn); quality degrades past native — treat long-context ratings as optimistic.
  • • No chat template found; tool calling is inferred as limited (low confidence).
  • • toolCalling: basic, inferred from missing signals (low confidence).
  • • thinking: basic, inferred from missing signals (low confidence).
  • • vision: good, inferred from config (low confidence).
  • • Capability ratings are estimated from model size and name — this model hasn't been assessed by hand.
  • • GGUF sizes come from community conversions matched by model name; equivalence and runtime support are not verified. MLX conversion availability is unverified.

DeepSeek-V4-Flash-Vision-Exp — 3-bit

Does not fit in memory

Does Not Fit

Needs ≈127 GB but only ≈37 GB is available after the OS, other apps and Aider.

High confidence
Check with your hardware and workload