DeepSeek 本地开发动态：teamblobfish 已给出带 Apple Silicon 吞吐表与指定 llama.cpp fork 的 V4 Flash GGUF 路线

今天可发布的是本地部署主线更新：`teamblobfish/DeepSeek-V4-Flash-GGUF` 现在把命名好的 GGUF 文件、`llama.cpp`/Ollama/vLLM 命令、Apple Silicon 吞吐数据，以及必须使用的 `cchuter/llama.cpp` V4 分支绑在一起，证据强于旧的泛化量化列表。

中文摘要

今天可发布的是本地部署主线更新：teamblobfish/DeepSeek-V4-Flash-GGUF 现在把命名好的 GGUF 文件、llama.cpp/Ollama/vLLM 命令、Apple Silicon 吞吐数据，以及必须使用的 cchuter/llama.cpp V4 分支绑在一起，证据强于旧的泛化量化列表。

阅读提示

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英文原文

Accepted developer update

Today's safe publishable change belongs on the DeepSeek local development / local deployment track. The stronger source-backed delta is not a new official DeepSeek runtime. It is a community page that now clears the bar for reproducibility better than the older generic GGUF listings already cited on this site.

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.

Why this matters for crawlable setup pages

The local-deployment guide should point readers to one stronger named GGUF source instead of treating all community quant pages as interchangeable.
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.
The hardware table can now reference a published Apple Silicon throughput baseline instead of only broad memory warnings.

What we rejected today

DeepSeek TUI: GitHub Releases still show CodeWhale v0.8.50 as the latest stable line already reflected on this site. No newer release or install-contract change beat the current June 3 baseline.
DeepSeek in Claude Code / Cloud Code wording variants: the official DeepSeek Claude Code and Anthropic API docs still show the same model mapping and endpoint setup already published here. No stronger dated delta appeared.
Generic popularity-only local model uploads: extra quant mirrors, likes, or reposted wrapper screenshots were rejected unless they added exact commands, named files, runtime branch, or measured hardware evidence.

Editorial takeaway

Today's public update belongs on the maintained local-deployment guide, the dedicated /local-deployment landing page, and the news stream. It does not affect stocked plans, pricing cards, stock, or any purchasable inventory surface.