Model overview
One line installs it on the card you already own, RTX 20, 30, 40 and 50, and AMD Radeon in beta, with 8 GB or more: it picks the build and the model file for your VRAM, checks every SHA256 and starts it, with the chat page at `http://127.0.0.1:8899` and an OpenAI-compatible API at `/v1` (model `bonsai-2-27b`). Windows, in PowerShell (measured on native Windows on an RTX 3060 12GB and an RTX 5070 Ti 16GB; RTX 20 in beta): AMD Radeon (beta): the same two lines, on PrismML's own Vulkan build, no ROCm to install. 8 GB cards get up to 64K, 12 GB about 195K, 16 GB and up the full 262K with vision, all from the files in this repo; the cards and the numbers are in Radeon (beta).
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。