Model overview
**FP8_DYNAMIC W8A8, attnbf16** — FP8 (E4M3) weights with dynamic per-token activation quantisation, applied to the **MLPs only**. The entire `self_attn` path, the `linear_attn` (SSM) block, the vision tower, `lm_head` and the MTP head all stay in bf16. A quantisation of `Qwen/Qwen3.8-27B` — a dense, multimodal Qwen3.5-family model (`qwen3_5`) with hybrid linear + full attention, a vision tower, and a multi-token-prediction head. `Qwen3.8-27B` sets `attn_output_gate: true`, which fuses the attention **output gate** into `q_proj` — making it `[12288, 5120]` instead of `[6144, 5120]`. Half of that tensor is a multiplicative per-head gate on what attention writes into the residual stream, and quantisation error on a multiplicative gate behaves worse than on an additive projection.
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。