Model overview
> ## ⚠️ Superseded > > The main checkpoint now has the NVFP4 `lm_head` **and** the MTP head removed — it is strictly better than this variant (17.92 GB, 2 shards). > > **Use `Qwen3.8-27B-NVFP4-RTX5090` instead.** This repo stays up so existing pins keep working. `Qwen3.8-27B-NVFP4-RTX5090` with **`lm_head` quantized to NVFP4** instead of left in BF16. Every other tensor is bit-identical to the parent. At concurrency 1 this model is **weight-bandwidth bound, not compute bound**. Measured on the parent: 18.80 GiB of resident weights at 81.6 tok/s implies a **1.65 TB/s** read rate against the RTX 5090's 1.79 TB/s spec — about **92% of peak**. Decode is streaming the whole model once per token.
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。