Open-weight local LLM

InternLM 2.5 (7B)

Practical reasoning model from Shanghai AI Lab. Strong bilingual. 101K downloads.

Laptop ready 8 GB RAM Q5_K_M Reasoning
Parameters
7B
Minimum RAM
8 GB
Model size
4.5 GB
Quantization
Q5_K_M

Can InternLM 2.5 (7B) run locally?

InternLM 2.5 (7B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for internlm2_5-7b-chat in LM Studio or another GGUF-compatible runtime.

chatreasoningstandard

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch internlm2_5-7b-chat in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Practical reasoning model from Shanghai AI Lab. Strong bilingual. 101K downloads.

Limitations

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

Best use cases

  • chat
  • reasoning
  • standard

Capability profile

speed
8
quality
7
coding
6
reasoning
7

Technical notes

Developer
internlm
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.

Where to go next