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.
At a glance
- Architecture
- unknown
- License
- apache-2.0
- Disk space
- 15.8 GB
- Software
- llama.cpp
Will it run on your machine?
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Add my hardwareBest 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 1.0Explore its uses
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