Model overview
**⚠️ Runs on `ds4` / DwarfStar only — NOT llama.cpp · Ollama · LM Studio · vLLM.** *(Ignore Hugging Face's generic "Use this model" panel — those runtimes fail with `unknown architecture 'glm5next'`.)* An **imatrix-calibrated ~2-bit GGUF** of the *uncensored* GLM-5.3-Flash, built for the **`ds4` / DwarfStar** engine. It runs **resident** on a single 128 GB Mac, keeps the model's **native MTP** speculative-decoding block, and is calibrated with a 1.5M-token importance matrix — not a plain RTN quant. The official uncensored weights ship for **data-center GPUs** (FP8 / NVFP4); a consumer GGUF (Q2_K) also exists, but it runs only on a draft-PR llama.cpp build and drops MTP. This build is the one that runs on **ds4 / Metal today** — resident, with MTP and imatrix calibration:
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：mit。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。