Model overview
Run a 177B parameter model on a consumer PC by **streaming it from an NVMe SSD**. This GGUF is made for SSD offloading: about 100 GiB of the 119 GiB file stays on the SSD and is read as needed, so the model runs on a 16 GB GPU with 32 GB of RAM. It runs with inferredThoughts, an open-source engine for SSD streaming of mixture-of-experts models. RTX 5060 Ti 16 GB, 32 GB DDR5 RAM, Gen5 NVMe SSD, native Windows 11, `inferred serve ` version 1.1, default settings. Requirements: - An RTX 50-series or RTX PRO Blackwell GPU (16 GB VRAM), NVIDIA driver R570+, CUDA 12.8+ - 32 GB of RAM and a fast local NVMe SSD (Gen4 or Gen5) with 128 GB free - Windows 11 or WSL2 (Ubuntu 24.04)
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：other。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。