LocalClaw/LLM/Phi-3 Medium (14B)
Open-weight local LLM

Phi-3 Medium (14B)

Microsoft's medium Phi-3. Strong reasoning capabilities for its size. Good balance of speed and quality.

16 GB sweet spot 12 GB RAM Q5_K_M Reasoning
Run with LocalClaw Compare all models
Parameters
14B
Minimum RAM
12 GB
Model size
8 GB
Quantization
Q5_K_M

Can Phi-3 Medium (14B) run locally?

Phi-3 Medium (14B) is a practical pick for 16 GB machines, especially with Q5_K_M quantization.

Search for phi-3-medium-4k-instruct in LM Studio or another GGUF-compatible runtime.

lmstudio-community/Phi-3-medium-4k-instruct-GGUF
chatreasoningpower

Install path

01
Check RAM fitMinimum 12 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch phi-3-medium-4k-instruct in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Microsoft's medium Phi-3. Strong reasoning capabilities for its size. Good balance of speed and quality.

Limitations

  • Performance depends on quantization, RAM bandwidth and runtime support.

Best use cases

  • chat
  • reasoning
  • power

Capability profile

speed
6
quality
7
coding
7
reasoning
8

Technical notes

Developer
phi
License
See model repository
Context window
Unknown tokens
Architecture
See model card

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

Where to go next