Reasoning14B official

deepseek-r1-distill-qwen-14b

by DeepSeek

Qwen2.5-14B fine-tuned on reasoning data generated by DeepSeek-R1.

#reasoning

arcflare pull unsloth/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M

[ 01 ] // quickstart

┌─ arcflare — zsh // tty1

[ 02 ] // readme

deepseek-r1-distill-qwen-14b

Qwen2.5-14B fine-tuned on reasoning data generated by DeepSeek-R1.

Get it

arcflare pull unsloth/DeepSeek-R1-Distill-Qwen-14B-GGUF:Q4_K_M

arcflare run deepseek-r1-distill-qwen-14b

ArcFlare reads the GGUF header and loads it at the largest context your free VRAM can actually hold. Use arcflare fit to see that before downloading anything else, or arcflare use opencode to code with it.

Highlights

Downloads the Q4_K_M file by default: 9 GB. Also published: Q8_0 (15.7 GB), Q5_K_M (10.5 GB), Q3_K_M (7.3 GB)
Trained for a 128K context
Distilled from Qwen2.5, which is Apache-2.0
Licence: MIT. Read it before commercial use

Sizes

14b · 9GB

Other sizes live in sibling repos: swap the size in the repo name when pulling.

[ 03 ] // relatedmore →

gpt-oss

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size: 20B
vram: ~14 GB
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58% of a 24 GB card

#reasoning #tools #moe

glm4.5-air

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vram: ~6 GB
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#reasoning #math #moe