Model overview
Clef turns a state (text, JSON, images, or video) plus a schema of typed questions into a probability for every allowed option, in a single forward pass. **It is not a chat model** — `mlx_vlm.generate`, `mlx_lm.generate`, and LM Studio will load the backbone but produce meaningless text. Use the bundled `clef_mlx.py` loader, which runs the backbone and the joint schema head. Measured on an M5 Max with text input. macOS lets the GPU use only about 70–75% of RAM by default, so the minimum RAM is higher than the peak. The 9B variants are much faster; the 27B variants score higher (see the quality check below). Tested with mlx 0.32.3, mlx-lm 0.32.0 and mlx-vlm 0.7.4. `clef_mlx.py` uses mlx-vlm internals, so it warns if you load it with an untested mlx-vlm minor version.
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。