Model overview
**A supervised fine-tune of Gemma 4 26B-A4B, oriented towards open-source intelligence, cyber threat intelligence, and investigative journalism.** REDCELL is a supervised fine-tune (SFT) of Google's Gemma 4 26B-A4B (Mixture-of-Experts, MoE), trained to produce senior-analyst tradecraft instead of reflexive hedging on legitimate investigative work. > **Update 13-10-2026** — Experimental **MTP speculative decoding** support. The stock Gemma 4 26B-A4B MTP draft head now ships in this repo and works with REDCELL in llama.cpp: draft acceptance ≈ 0.6 in local testing, speed-up hardware-dependent. Read MTP speculative decoding before enabling it.
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.
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 / channel | Input | Output | Billing unit | Collected 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.
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。