DeepSeek V3.2 Exp (671B MoE)
Catalogue summary: Experimental V3.2 with DeepSeek Sparse Attention (DSA) — halves inference cost vs V3.1 on long context while keeping quality. 128K context, improved coding & tool-use. MIT licensed. Server-grade.
Repository editorial metadata; verify comparative claims in the linked upstream material.
Only verified options can be opened. Unsupported apps are clearly marked.
Verified source status
LocalClaw verified a public model card for DeepSeek V3.2 Exp (671B MoE) on 2026-09-07, but no public GGUF file in that repository. The catalogue RAM and quantization fields are estimates, not a verified install path.
Only the public model card was verified; no public GGUF file was verified in that repository. Open the model card to confirm current artefacts and supported runtimes. LocalClaw does not claim a one-click LM Studio install.
Source availability
Catalogue record
- Family: deepseek
- Parameters: 671B (37B active)
- Recommended quantization: Q4_K_M
- Catalogue minimum RAM: 512 GB
- Catalogue model size: 380 GB
- Tags: chat, code, reasoning, quality
Practical limits
- Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
- Speed and memory use vary by quantization, backend, context length and system headroom.
- Verify architecture, licence and usage restrictions in the linked upstream material before deployment.
Catalogue tags
- chat
- code
- reasoning
- quality
Capability profile
Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.
Technical notes
Related catalogue entries
Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.