Model overview
> ### ⭐ Latest and flagship models > [](https://huggingface.co/FINAL-Bench/VKORE-46M-NPU) [](https://huggingface.co/FINAL-Bench/Darwin-27B-ZTC-v5) > [](https://huggingface.co/collections/FINAL-Bench/pocket-models-6a618ee5d23eafb7e185a5c6) [](https://huggingface.co/collections/FINAL-Bench/darwin-family-699987b1f652864af0122193) [](https://huggingface.co/FINAL-Bench) [](https://vidraft.net) [](https://thevc.kr/vidraft) **A 180B frontier model from a laptop to DGX Spark.** A 4-bit GGUF build of Darwin-180B-RSI-R3 (111.3 GB, 4 files) for llama.cpp. It runs on a **gaming laptop with an 8 GB GPU and 32 GB RAM**, a **128 GB mini PC**, a CPU-only server, a single datacenter GPU, or **NVIDIA DGX Spark**. - **Quality kept:** MMLU-Pro (2,000 questions, paired) **87.65% vs 87.65%** for the BF16 original, difference **+0.00 points, 95% CI [−0.95, +1.00]**. - **Runs on a laptop:** **4.17 tokens/s** on an RTX 5060 Laptop GPU (8 GB) with 32 GB RAM. - **Runs without a GPU:** **18–21 tokens/s** on one server CPU socket, **78.8 GB peak RAM**. - **Runs on a mini PC:** any mini PC with **128 GB RAM** holds the whole model in memory, no GPU needed. - **Built-in confidence:** ZTC AUC **0.758** reading its own state; the 20% of questions it is most sure about are **97.5%** correct. Probe file and script included in `ztc/`. - **Shorter answers:** on the same 2,000 questions, answers average **3,694 tokens vs 4,322** for the same-format parent build (−14.5%).
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。