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

DeepSeek R1 Distill (14B)

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 Largely superseded by Qwen 3 14B and Phi-4 Reasoning for most tasks.

16 GB sweet spot 16 GB RAM Q4_K_M Complex math problems
Run with LocalClaw Compare all models
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) is a practical pick for 16 GB machines, especially with Q4_K_M quantization.

Search for deepseek-r1-distill-qwen-14b in LM Studio or another GGUF-compatible runtime.

lmstudio-community/DeepSeek-R1-Distill-Qwen-14B-GGUF
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.

Strengths

  • PhD-level reasoning at 14B
  • Shows chain-of-thought
  • MIT license
  • Excellent math/logic

Limitations

  • Needs 16GB+ RAM
  • Verbose outputs
  • Can be slow due to reasoning tokens

Best use cases

  • Complex math problems
  • Logical analysis
  • Scientific reasoning
  • Research

Capability profile

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

Similar models to compare

Qwen 3 (14B) 14BPhi-4 Reasoning (14B) 14BDeepSeek R1 Distill (32B) 32B

Where to go next