Model overview
> ### ⚠️ STOCK `llama.cpp` WILL NOT LOAD THIS MODEL > 🚀 **37.86 tok/s** on a 119B MoE — **63.07 GiB**, 7 GiB smaller than UD-Q4_K_XL. A 4-bit **ROCmFP4** quantization for **AMD gfx1151 (Ryzen AI MAX+ 395 / Strix Halo)**, quantized from **BF16 (222 GiB)** — a lossless source, not a requantization of a lower-bit build. `Q4_0_ROCMFP4_COHERENT` (ftype 102) exists only in `charlie12345/ROCmFPX`, not upstream llama.cpp. Ignore the auto-generated "Use this model" commands above.
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。