Model overview
- **MTP draft head preserved in bf16** and wired into the index — speculative decoding works out of the box (`method: qwen3_5_mtp`). - Vision tower, `lm_head`, DeltaNet `conv1d`, and the MTP head are kept in bf16; everything else is NVFP4 W4A4. - Quantized **GPU-resident**: the full bf16 model dispatched across 8× RTX PRO 2000 Blackwell (16 GB) with `device_map=auto` — calibration itself took **68 seconds** (32 samples × 8192 tok). - Serves on SM120 (Blackwell) with vanilla vLLM v0.22.0 — compressed-tensors auto-detected, no `--quantization` flag. Single-stream prefill (prefix cache disabled, mean of 3): **3,820 tok/s @ 8k**, 3,299 @ 32k, 2,363 @ 100k prompt tokens. GPU KV cache at TP=4/128k: 1,025,977 tokens (7.83× concurrency). On boards without P2P add `NCCL_P2P_DISABLE=1` and `--disable-custom-all-reduce`.
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。