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DeepSeek R1 Distill (32B)

Solid reasoning at 32B but outclassed by GLM-4 32B and Qwen 3 32B for general use. Still good for pure math/logic.

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Parameters
32B
Minimum RAM
32 GB
Model size
20 GB
Quantization
Q4_K_M

Can DeepSeek R1 Distill (32B) run locally?

DeepSeek R1 Distill (32B) is best suited for power-user machines with 32 GB RAM. LocalClaw recommends Q4_K_M as the default quantization, with at least 32 GB RAM.

Search term for LM Studio or compatible runtimes: deepseek-r1-distill-qwen-32b

Hugging Face repository: lmstudio-community/DeepSeek-R1-Distill-Qwen-32B-GGUF

reasoningchatpower

Strengths

  • The thinking machine — PhD-level reasoning
  • Rivals o1 on many benchmarks
  • MIT license
  • Excellent at complex multi-step problems

Limitations

  • Needs 32GB+ RAM
  • Very verbose outputs
  • Slower than non-reasoning models

Best use cases

  • Advanced math
  • Scientific research
  • Complex problem solving
  • Strategy analysis

Benchmarks

Speed: 3/10

Quality: 8/10

Coding: 7/10

Reasoning: 9/10

Technical details

Developer: DeepSeek AI

License: MIT

Context window: 131,072 tokens

Architecture: Transformer distilled from DeepSeek-R1 (Qwen 2.5 32B base)

Released: 2025-01

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qwen3-32bqwq-32bcogito-32b