Model overview
FP16 safetensors (HuggingFace format) of the 1-bit Bonsai-8B model. This repo exists for users who want to run Bonsai with stock HuggingFace tooling or frameworks that don't yet support 1-bit weights natively. The 1-bit kernels are currently in our forks of MLX and llama.cpp — once they land upstream, this unpacked version will no longer be needed. > **We strongly recommend using the native 1-bit models instead.** The 1-bit format is where all the benefits of Bonsai come from — up to 14x memory reduction, 6x faster inference, and 5x lower energy per token. This unpacked FP16 version is full-size and does not provide any of those advantages. - **Bonsai-8B GGUF Q1_0** — 1-bit GGUF for llama.cpp (CUDA, Metal, CPU) - **Bonsai-8B MLX 1-bit** — 1-bit MLX for Apple Silicon
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。