v2.2 · 2026-06-12

DeepSeek-R1-Distill-Qwen-14B

deepseek-r1-distill-qwen-14b

REASONING

DeepSeek-R1-Distill-Qwen-14B is a 14B 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

14B

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-14B

HUGGING FACE

deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

GGUF REPOSITORIES

bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF community conversion

Community GGUF repository referenced by the June 2026 model research.

SETUP HINTS

OLLAMA

ollama run deepseek-r1:14b

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-14B-GGUF) with current llama.cpp-compatible tooling.

QUANTIZATION FILE SIZES (GGUF)

Q4_K_M

8.99 GB

Q5_K_M

10.51 GB

Q8_0

15.7 GB

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

RAM / VRAM ESTIMATES

MIN RAM

16 GB

COMFORTABLE RAM

32 GB

MIN VRAM

16 GB

COMFORTABLE VRAM

32 GB

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

HARDWARE FIT

CPU only (no GPU)

limited

8 GB RAM

16 GB RAM

limited

32 GB RAM

comfortable

8 GB VRAM

12 GB VRAM

24 GB VRAM

limited

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

·Deeper local reasoning and coding on 32GB systems where quality matters more than speed today.

AVOID IF

·You have 8GB RAM, need instant replies, or prefer newer Qwen3-native reasoning behavior instead overall.

CAVEATS

·Large enough to feel slow on CPU-only laptops.

·R1-style reasoning may produce long answers.

·Political and China-sensitive prompts need careful review.

·R1-0528-Qwen3-8B is newer and easier for beginners.

·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-14B remains a strong mid-size reasoning model for users with 16GB to 32GB RAM. It is heavier than the 8B update, but often gives better math and coding reasoning locally when speed is acceptable offline.

SOURCE URLS

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

FIELD EVIDENCE

licensehuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

parameterSizeBhuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

activeParametersBhuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

architecturehuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

contextWindowTokenshuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

modalitieshuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

releaseDatehuggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B

hfGgufReposhuggingface.co/bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF

q4FileSizeGbhuggingface.co/bartowski/DeepSeek-R1-Distill-Qwen-14B-GGUF