v2.2 · 2026-06-12

DeepSeek-R1-Distill-Qwen-32B

deepseek-r1-distill-qwen-32b

REASONING

DeepSeek-R1-Distill-Qwen-32B is a 32B reasoning model profile for local AI planning. This page records provider, license, context, quantization, hardware-fit estimates, setup hints, source links, and caveats so readers do not choose a model by name alone.

PROVIDER

DeepSeek

FAMILY

DeepSeek-R1

MODEL TYPE

reasoning

PARAMETERS

32B

MODALITIES

text

ARCHITECTURE

Dense Qwen-based reasoning distill from DeepSeek-R1

CONTEXT WINDOW

128,000 tokens

TRAINING TOKENS

—

RELEASE DATE

2025-01-20

LICENSE & LINKS

MIT model weights; derived from Qwen-2.5 Apache-2.0 baselicense text

MODEL CARD

huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

HUGGING FACE

deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

GGUF REPOSITORIES

bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF community conversion

Community GGUF repository referenced by the June 2026 model research.

SETUP HINTS

OLLAMA

ollama run deepseek-r1:32b

LM STUDIO

Available according to the supplied June 2026 research; select a cited GGUF/MLX build and verify current app metadata before relying on hands-on setup guidance.

LLAMA.CPP

Use the cited GGUF repository (bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF) with current llama.cpp-compatible tooling.

QUANTIZATION FILE SIZES (GGUF)

Q4_K_M

19.85 GB

Q5_K_M

23.26 GB

Q8_0

34.82 GB

Quantization note: Q4_K_M for first local attempts unless a cited runtime recommends a different default.

RAM / VRAM ESTIMATES

MIN RAM

32 GB

COMFORTABLE RAM

64 GB

MIN VRAM

32 GB

COMFORTABLE VRAM

64 GB

These are conservative local-inference estimates, not official hardware requirements.

HARDWARE FIT

CPU only (no GPU)

8 GB RAM

16 GB RAM

32 GB RAM

limited

8 GB VRAM

12 GB VRAM

24 GB VRAM

Apple Silicon (unified memory)

limited

Hardware fit values are conservative local-inference estimates based on GGUF size plus runtime and KV-cache overhead. Actual requirements depend on context length, quantization, runtime, GPU offload, and other running apps.

BEST FOR

·Harder math, code reasoning, and local experiments on 64GB machines or large GPUs with patience.

AVOID IF

·You want plug-and-play laptop performance, short answers, or low electricity and memory use requirements today.

CAVEATS

·Not a beginner laptop model.

·Q4 files are about 20GB before KV cache and runtime overhead.

·Long-context use can require far more than 32GB RAM.

·Use only if the 14B model is not strong enough.

·Commercial-use status from the supplied research: Allowed under R1 MIT terms; verify Qwen-derived obligations.

·Beginner summary from supplied research: DeepSeek-R1-Distill-Qwen-32B is an advanced local reasoning model for high-RAM desktops and workstation GPUs. It is much smaller than full R1, yet still too large for most beginner laptops and casual chat without serious memory headroom.

SOURCE URLS

[source 1] [source 2] [source 3] [source 4]

FIELD EVIDENCE

licensehuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

parameterSizeBhuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

activeParametersBhuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

architecturehuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

contextWindowTokenshuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

modalitieshuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

releaseDatehuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

hfGgufReposhuggingface.co/bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF

q4FileSizeGbhuggingface.co/bartowski/DeepSeek-R1-Distill-Qwen-32B-GGUF