Model overview
A 4-bit weight-only **GPTQ** quantization of **Qwen/Qwen3.8-27B** with an **fp8-e4m3 KV cache calibrated alongside the weights**. INT4 weights shrink the footprint ≈2.8× and fp8 KV halves the cache, so the model serves its native **262,144-token** context on a **single 48 GB GPU**. fp8 KV also makes YaRN extension to **524,288 tokens** fit the same card, and up to 1M tokens on 96 GB (retrieval beyond 262k unvalidated). Identical harness and hardware for base and quantized: lm-evaluation-harness with the vLLM 0.27.1 backend on a single NVIDIA RTX PRO 6000 (Blackwell, 96 GB), greedy decoding, seed 1234. The base runs with bf16 KV and the quantized model with fp8-e4m3 KV, each at its recommended serving configuration, so every Δ measures the full int4 + fp8-KV stack rather than weights alone. Generative tasks run with the model's native chat template, thinking enabled, `max_gen_toks=8192`; loglikelihood tasks run untemplated. `minerva_math500` reports `math_verify`, since strict `exact_match` measures answer format, not content, on thinking-model outputs. The BF16 base scores identically (9/9), showing no retrieval degradation through the int4 + fp8-KV stack at the context length it was calibrated at.
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。