Model overview
- a model that feels less censored than stock chat releases - a model that is more capable than the raw base on practical text workloads - a compact local GGUF that still serves quickly on Apple Silicon - Uncensored chat behavior without forcing every prompt into coding mode - Tuned from the strongest `fast` line instead of the raw base - Neutral chat template baked into the GGUF to reduce prompt-routing bugs - Verified on Apple Silicon with clean general-chat and coding responses - Base model: `google/gemma-4-26B-A4B-it` - Format: `GGUF Q4_K_M` - General Korean prompt speed: `222.0 tok/s` - Generation speed: `89.4 tok/s` - Derived from the verified `SuperGemma Fast` MLX line
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：gemma。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。