MODEL PROFILE

Signal-3.8-27B-GGUF

agentionai · Signal-3.8-27B-GGUF

> [!IMPORTANT] > **Recommended settings** > Temperature 0.6, top-p 0.95, top-k 20, min-p 0.05, **presence_penalty 1.0**, KV cache q8_0 or f16. > Keep min-p and presence_penalty on: without them, long generations can run into repetition on some > draws (a 4-bit value cache makes that deterministic). If you enable the MTP draft head on recent > mainline llama.cpp, also pass **`--no-spec-draft-backend-sampling`** — the default backend draft > sampling does not apply your sampler to accepted draft tokens, which can let repetition run away > regardless of the settings above. > [!WARNING] > The tiers in this repository were rebuilt on 2026-09-13. The first release's tiers could, rarely, > repeat an answer line when sampling without the draft head; the rebuilt tiers showed no loop or cap > in 55 traces under the same conditions. If you downloaded before that date, re-download. AgentionAI Signal is a minimally invasive fine-tune of Qwen3.8-27B designed for lower generation latency and better token efficiency. On our held-out general-prompt evaluation, Signal produces **25% fewer answer tokens** and uses **41% fewer thinking tokens**, while matching or improving the measured answer quality of the base model.

Visual QAlicense:apache-2.0
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/10/30 01:53:23
OVERVIEW

Model overview

> [!IMPORTANT] > **Recommended settings** > Temperature 0.6, top-p 0.95, top-k 20, min-p 0.05, **presence_penalty 1.0**, KV cache q8_0 or f16. > Keep min-p and presence_penalty on: without them, long generations can run into repetition on some > draws (a 4-bit value cache makes that deterministic). If you enable the MTP draft head on recent > mainline llama.cpp, also pass **`--no-spec-draft-backend-sampling`** — the default backend draft > sampling does not apply your sampler to accepted draft tokens, which can let repetition run away > regardless of the settings above. > [!WARNING] > The tiers in this repository were rebuilt on 2026-09-13. The first release's tiers could, rarely, > repeat an answer line when sampling without the draft head; the rebuilt tiers showed no loop or cap > in 55 traces under the same conditions. If you downloaded before that date, re-download. AgentionAI Signal is a minimally invasive fine-tune of Qwen3.8-27B designed for lower generation latency and better token efficiency. On our held-out general-prompt evaluation, Signal produces **25% fewer answer tokens** and uses **41% fewer thinking tokens**, while matching or improving the measured answer quality of the base model.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
No verified prices yet. Check the source channel.

Estimate monthly base token costs

—

Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

View full indexed rankings →

Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。