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Signal 3.8 27B GGUF

Signal 3.8 27B GGUF is a minimally invasive fine-tune of Qwen3.8-27B, published as a GGUF-format model for the image-text-to-text pipeline under the apache-2.0 license. It is designed for lower generation latency and better token efficiency by producing more direct answers, with fewer preambles, excessive formatting, sign-offs, and explanatory narration. The model is trained by self-distillation on Qwen3.8-27B's own answers and is presented as a drop-in GGUF replacement for llama.cpp setups that already run Qwen3.8-27B.

EstimatedRepository opened Sep 9, 2026Source checked 9/24/2026Version: ae272aa3
LOCALRENTED GPUOPEN WEIGHTS
Freshness 79 out of 100. Repository age: 61 days old, Sep 9, 2026. Measures age, not quality.
Popularity 56 out of 100. 15,555 downloads in 30 days; 105 lifetime likes. Checked Nov 8, 2026. Measures adoption, not quality.
What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

Check the date source
Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

Check the statistics source
Scores as of Nov 9, 2026. Statistics checked Nov 8, 2026. Statistics are marked for refresh after 72 hours.Full scoring method

At a glance

Architecture
unknown
License
apache-2.0
Disk space
15.8 GB
Software
llama.cpp
View the model source
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Best for

  • Local GGUF inference in llama.cpp setups already running Qwen3.8-27B
  • Image-text-to-text tasks
  • Chat prompts where more direct, less verbose responses are desired
  • Coding prompts where token-efficient answers are useful
  • Thinking-mode tasks where reduced reasoning token usage is beneficial

Tradeoffs

  • The provided source does not specify supported input modalities, hardware requirements, or compatibility beyond GGUF/llama.cpp context
  • No independent testing or validation is claimed by this summary
  • Quality and efficiency findings are based on the supplied source's evaluations, not independent verification
  • Performance may depend on recommended sampling settings, KV cache configuration, and draft-head options described in the source
  • The source notes that earlier tiers could rarely repeat an answer line and advises re-downloading tiers downloaded before 2026-09-13

Ways to run it

llama.cpp · Windows, macOS, Linux

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

llama-server -hf agentionai/Signal-3.8-27B-GGUF:AP-Q4_K_XL --jinja -ngl 999 -fa on -c 65536 -ctk q8_0 -ctv q8_0 --temp 0.6 --top-p 0.95 --top-k 20 --min-p 0.05 --presence-penalty 1.0
Official instructions

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