Signal 3.8·27B
Qwen3.8-27B that gets to the answer faster. AgentionAI Signal is a minimally invasive fine-tune of Qwen3.8-27B built for lower generation latency and better token efficiency, published as a drop-in GGUF replacement for llama.cpp setups that already run Qwen3.8-27B.
On our held-out general-prompt evaluation, Signal produces 57% fewer answer tokens and uses 52% fewer thinking tokens than the untouched Qwen3.8-27B, while matching or improving measured answer quality. The result is substantially faster end-to-end generation: on typical chat prompts, Signal can finish in less than half the wall time of the base model on the same hardware.
Signal gets there by being more direct rather than by truncating answers. It removes unnecessary preambles, excessive formatting, sign-offs, and explanatory narration while preserving the substance of the response. In thinking mode, it keeps the useful reasoning steps while spending fewer tokens describing the process.
Token counts normalized to the base model at 100% per category. Measured answer quality matched or improved over the base model across the same evaluation; see methodology below.
What changes, measured
We evaluated Signal against the untouched Qwen3.8-27B Q8_0 using the same server, sampling settings, and prompts, on an otherwise identical model file. All prompts in this evaluation were held out from tuning.
| Build | Format | Size | Target |
|---|---|---|---|
| Signal-Q4_K_M | GGUF, mainline-compatible | 16.4 GiB | Any llama.cpp build, -ngl 99 |
| Signal-Q5_K_M (recommended) | GGUF, mainline-compatible | 19.0 GiB | Any llama.cpp build, -ngl 99 |
| Signal-Q8_0 | GGUF, mainline-compatible | 28.7 GiB | Any llama.cpp build, -ngl 99 |
The 57%/52% figures above are Q8_0 against Q8_0, the same reference point used for every comparison on this page. Each build is a drop-in replacement: same file layout, same flags, as the Qwen3.8-27B GGUF it replaces.
Running Signal
Stock GGUF, no fork required. It's a drop-in replacement for llama.cpp setups that already run Qwen3.8-27B: same flags, same server, swap the model path.
llama-server -m Signal-Q5_K_M/Signal-3.8-27B-Q5_K_M.gguf \
-ngl 99Full setup instructions are in the repo's README on HuggingFace.