dwarfstar.sh valid
DwarfStar (ds4): community site
Community documentation, benchmarks and news for ds4
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T22:56:20.892Z. Cached copy · Source on dwarfstar.sh
# DwarfStar (ds4): community site
> Community documentation, benchmarks and news for ds4
> (DwarfStar 4), Salvatore Sanfilippo's (antirez) local inference engine,
> supporting DeepSeek V4/V4.1, GLM 5.x and Qwen3.8 Flash Next on local
> hardware. Written in C with Metal, CUDA and ROCm backends.
> MIT license. Canonical implementation repository:
> https://github.com/antirez/ds4
Key facts:
- Supported models include DeepSeek V4 Flash (0731), DeepSeek V4 PRO (0813),
DeepSeek V4.1 Flash, GLM 5.x and Qwen3.8 Flash Next, using only the GGUF
layouts listed by upstream.
Support is intentionally narrow and opportunistic rather than generic.
- Runs Qwen3.8 Q2 on a 64GB Mac: 41.73GiB of main/MTP weights are resident
while the 95.37GiB BF16 n-gram table stays on fast local SSD.
- DeepSeek V4 Flash remains the 96GB+ baseline and can also run on 64GB Macs
via Metal SSD streaming with reduced generation speed.
- DeepSeek V4.1 Q2 streams on one 128GB Mac, DGX Spark or Strix Halo (ROCm,
text only), or runs resident across two Macs/two Sparks. Since 19 October
2026 the ds41f-q2 target fetches DeepSeek's 1017 checkpoint
(DeepSeek-V4.1-Flash-1017-IQ2_XXS-Q2_K-imatrix.gguf); ds41f-mxfp4 is a 1017
MXFP4 build (467GiB file). Q4 is the previous release and needs streaming or
a 512GB Mac.
- GLM 5.2 runs on Metal, CUDA and ROCm, with mode-specific restrictions.
- GLM 5.3 Flash, Qwen3.8, DeepSeek V4.1 and DeepSeek Vision Experimental have
matching vision paths. Backend support differs; V4.1 vision is Metal-only.
- DSpark speculative decoding (DeepSeek's draft model) is an opt-in runtime
for Flash 0731 (resident only, including two DGX Sparks over network TP)
and, with a separate 8.04GiB user-converted drafter, for DeepSeek V4.1 on
Metal, CUDA and ROCm. GLM and Qwen use built-in MTP blocks instead.
- Pipeline parallelism splits layers across machines; two-Mac and CUDA tensor
parallelism split model work differently and should not be conflated.
- ds4-server can keep multiple resident KV sessions and batch model-specific
Metal or CUDA execution paths, with ordered fallbacks elsewhere. Qwen on
Metal can also batch MTP speculation.
- Asymmetric 2-bit quantization: routed experts compressed, critical path
kept high precision.
- KV cache persists to disk, keyed by SHA1 of the rendered prompt prefix;
sessions survive restarts.
- ds4-server exposes OpenAI-compatible (/v1/chat/completions, /v1/responses)
and Anthropic-compatible (/v1/messages) endpoints; works with OpenCode,
Claude Code, Codex CLI and Pi.
- Native coding agent (ds4-agent) with persistent sessions; the project is beta.
## Docs
- [Quickstart](/docs/quickstart/): clone, download weights, build, run
- [Installation](/docs/installation/): hardware matrix, model variants, build targets
- [The CLI](/docs/cli/): chat commands, thinking modes
- [DeepSeek V4 Flash and PRO](/docs/deepseek-v4-flash/): builds, where it runs, DSpark, vision, PRO
- [DeepSeek V4.1 Flash](/docs/deepseek-v
…
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