Model overview
Mica is a small decision model. You give it a state, a question and the allowed answers, and it returns a probability for each answer: yes/no, a choice among 2–255 options, or a score with 2–10 levels. It reads the input once and generates no text, so a decision costs one prefill. It speaks the TypeSafe `/v1/systemone` format, so clients written for Jev work unchanged. It was trained on English and Korean. The first start downloads the BF16 GGUF (9.7 GB). Use `-e MICA_GGUF=mica-v0.1-4b-Q5_K_M.gguf` for a smaller file. The image builds for CUDA architectures 86, 89 and 90; pass `--build-arg CUDA_ARCH=...` to change that.
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。