MODEL PROFILE

GLM-5.3-GGUF-DGX-Spark

autotrust · GLM-5.3-GGUF-DGX-Spark

> [!IMPORTANT] > **Try AutoTrust/GuruSearch live (new, 11 October 2026).** A recommendation and search demo in which every ranking is a > calibrated System 1 decision, made in about half a second: > * **Recommendation:** the latest headlines from 6 news feeds, ranked by importance. > * **Search:** results from Google News, Bing News and Yahoo News re-ranked by relevance, side by side with the > search engines' own order, plus a short answer with citations. **GLM 5.3 at frontier quality, 24 % smaller — Sparse-Squared compression with AutoTrust SLIM-Q, packaged for DGX Spark owners.** This repository is the llama.cpp GGUF build of **autotrust/GLM-5.3-SLIM-E192**, the SLIM-Q-compressed checkpoint that powers **Guru Turbo 2.0**, served in NVFP4 through **ScienceGuru** and the **Guru Apps**. Here it ships as one 149.7 GiB GGUF (glm-dsa architecture, runs on upstream llama.cpp) sized to fit a pair of DGX Sparks, a single 180 GB GPU, or a Mac Studio.

Text generationlicense:other
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/30 07:54:13
OVERVIEW

Model overview

> [!IMPORTANT] > **Try AutoTrust/GuruSearch live (new, 11 October 2026).** A recommendation and search demo in which every ranking is a > calibrated System 1 decision, made in about half a second: > * **Recommendation:** the latest headlines from 6 news feeds, ranked by importance. > * **Search:** results from Google News, Bing News and Yahoo News re-ranked by relevance, side by side with the > search engines' own order, plus a short answer with citations. **GLM 5.3 at frontier quality, 24 % smaller — Sparse-Squared compression with AutoTrust SLIM-Q, packaged for DGX Spark owners.** This repository is the llama.cpp GGUF build of **autotrust/GLM-5.3-SLIM-E192**, the SLIM-Q-compressed checkpoint that powers **Guru Turbo 2.0**, served in NVFP4 through **ScienceGuru** and the **Guru Apps**. Here it ships as one 149.7 GiB GGUF (glm-dsa architecture, runs on upstream llama.cpp) sized to fit a pair of DGX Sparks, a single 180 GB GPU, or a Mac Studio.

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.

PRICING & COST

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.

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Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

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。

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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。