GLM 5.2
Z.ai's GLM 5.2. Auto-imported from Hugging Face seed; review memory and benchmark details before using for final ranking.
Task Fit
Tool use, repo work, terminal workflows, and coding benchmarks.
Not marked for code in the current library.
General writing, Q&A, and assistant use.
Document QA benefits from long context and instruction following.
Not marked for vision in the current library.
Not marked for image generation in the current library.
Not marked for video generation in the current library.
Not marked for voice in the current library.
Source Confidence
Variants and Quant Artifacts
Choose the artifact first; hardware fit follows from RAM, VRAM, format, and runtime.
| Quant | Format | Quality | Min RAM | Reco RAM | Runtime | Action |
|---|---|---|---|---|---|---|
| Q4_K_M | gguf | balanced | 32GB | 48GB | llama.cpp, lm-studio | Plan with this |
| Q5_K_M | gguf | balanced | 40GB | 64GB | llama.cpp, lm-studio | Plan with this |
| Q8_0 | gguf | high | 64GB | 96GB | llama.cpp, lm-studio | Plan with this |
| FP16 | safetensors | high | 1TB | 2TB | transformers, vllm | Plan with this |
Recommended Hardware
Benchmarks
No benchmark data is available for this model yet.
Source and Review
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