Community2026-06-05

Community GGUF Runs DeepSeek V4 Flash on Apple Silicon

A stronger community DeepSeek V4 Flash GGUF page now ties named files to direct llama.cpp, Ollama, vLLM, and Metal-backed reproducibility notes, while the TUI and Claude Code tracks stay unchanged enough to skip new public claims.

What changed upstream

  • The official DeepSeek V4 Flash model card still defines the vendor baseline: open weights, MIT license, official vllm serve, official sglang.launch_server, Docker Model Runner, and a quantization browser for llama.cpp, Ollama, and LM Studio.
  • The stronger new community source is now teamblobfish/DeepSeek-V4-Flash-GGUF. It documents direct llama-server -hf, ollama run, vllm serve, Docker Model Runner, Pi, Hermes, Lemonade, and Unsloth Studio usage around named GGUF builds instead of leaving readers with only screenshots or vague wrapper claims.
  • That same page now makes the runtime boundary explicit: its headline warning says these quants require a V4-aware llama.cpp fork, pointing to cchuter/llama.cpp on feat/v4-port-cuda rather than implying stock upstream ggml-org/llama.cpp is ready.
  • Apple Silicon evidence is now materially better: the card publishes a quant table with M3 Ultra decode throughput and size tradeoffs, including a roughly 163 GiB Q4_K_M-XL entry and a roughly 63 GiB IQ1_M-XL path. That is still community evidence, but it is the kind of exact footprint-plus-speed detail that belongs in a maintained Mac guide.

Practical setup guidance

  1. The local-deployment guide should point readers to one stronger named GGUF source instead of treating all community quant pages as interchangeable.
  2. The safest Mac wording is now: official model card for vendor baseline, teamblobfish for reproducible GGUF files, cchuter fork for V4-aware llama.cpp kernels.
  3. The hardware table can now reference a published Apple Silicon throughput baseline instead of only broad memory warnings.

Sources

View original source