LocalClaw/LLM/DeepSeek R1 Distill (14B)
Open-weight local LLM

DeepSeek R1 Distill (14B)

Catalogue summary: Deep reasoning at 14B. Chain-of-thought reasoning. Largely superseded by Qwen 3 14B and Phi-4 Reasoning for most tasks.

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

16 GB catalogue minimum16 GB RAMQ4_K_MReasoning
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Parameters
14B
Minimum RAM
16 GB
Model size
9.5 GB
Quantization
Q4_K_M

Can DeepSeek R1 Distill (14B) run locally?

DeepSeek R1 Distill (14B) has a catalogue minimum of 16 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-14b 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-14B-GGUFUpstream releasePaper or model cardLicence text
reasoningchatpower

Install path

01
Check RAM fitMinimum 16 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch deepseek-r1-distill-qwen-14b in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: deepseek
  • Parameters: 14B
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 16 GB
  • Catalogue model size: 9.5 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
5
quality
7
coding
6
reasoning
8

Technical notes

Developer
DeepSeek AI
License
MIT
Context window
131,072 tokens
Architecture
Transformer distilled from DeepSeek-R1 (Qwen 2.5 14B 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.

Starter desktopMac mini M4 16GBPortable fitMacBook Air M4 16GBBest 16GB models16GB RAM guide

Related catalogue entries

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

DeepSeek R1 Distill (32B) 32BDeepSeek R1 Distill (8B) 8BDeepSeek Coder V2 (16B) 16BDeepSeek Coder (33B) 33BDeepSeek R1 0528 Distill (8B) 8BDeepSeek R1 Distill (7B) 7BDeepSeek R1 Distill (70B) 70BDeepSeek V3.2 Exp (671B MoE) 671B (37B active)

Where to go next