LocalClaw/LLM/DeepSeek R1 Distill (32B)
Open-weight local LLM

DeepSeek R1 Distill (32B)

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

Repository editorial metadata; verify comparative claims in the linked upstream material.

32 GB catalogue minimum32 GB RAMQ4_K_MReasoning
Choose an app

Pick the app you already use. No terminal and no command to copy.

Compare models
Open in LM StudioOpens the app on this model's download screenOpen in UnslothLaunches Unsloth Desktop on this model's download page
OllamaNot available for this model
Open on Hugging FaceFiles, licence and available downloadsOpen llama.cpp setupAdvanced option: opens the model filesUse with LocalClawOptional workspace after the model is installed

Desktop app links require the app to be installed. If nothing opens, LocalClaw will show app-download and model-file fallbacks.

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) has a catalogue minimum of 32 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use deepseek-r1-distill-qwen-32b as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Public GGUF repository (verified 2026-09-07): lmstudio-community/DeepSeek-R1-Distill-Qwen-32B-GGUFUpstream releasePaper or model cardLicence text
reasoningchatpower

Install path

01
Check RAM fitMinimum 32 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch deepseek-r1-distill-qwen-32b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: deepseek
  • Parameters: 32B
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 32 GB
  • Catalogue model size: 20 GB
  • Tags: reasoning, chat, power

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

  • reasoning
  • chat
  • power

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
3
quality
8
coding
7
reasoning
9

Technical notes

Developer
DeepSeek AI
License
MIT
Context window
131,072 tokens
Architecture
Transformer distilled from DeepSeek-R1 (Qwen 2.5 32B base)

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Comfortable headroomMac mini M4 Pro 48GBMobile workstationMacBook Pro M4 Max 36GBPower-user picks32GB RAM guide

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

DeepSeek R1 Distill (14B) 14BDeepSeek R1 Distill (8B) 8BDeepSeek Coder (33B) 33BDeepSeek R1 Distill (70B) 70BDeepSeek Coder V2 (16B) 16BDeepSeek R1 0528 Distill (8B) 8BDeepSeek R1 Distill (7B) 7BDeepSeek V3.2 Exp (671B MoE) 671B (37B active)

Where to go next