Open-weight local LLM

OpenChat 3.5 (7B)

Open-source beating ChatGPT 3.5 on benchmarks. Great chat quality. 201K downloads.

Laptop ready 8 GB RAM Q5_K_M General local assistant
Parameters
7B
Minimum RAM
8 GB
Model size
4.1 GB
Quantization
Q5_K_M

Can OpenChat 3.5 (7B) run locally?

OpenChat 3.5 (7B) is a good fit for normal laptops and compact desktops with 8 GB RAM or more.

Search for openchat-3.5-0106 in LM Studio or another GGUF-compatible runtime.

chatstandardgeneral

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch openchat-3.5-0106 in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • Open-source beating ChatGPT 3.5 on benchmarks. Great chat quality. 201K downloads.

Limitations

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

Best use cases

  • chat
  • standard
  • general

Capability profile

speed
8
quality
7
coding
6
reasoning
6

Technical notes

Developer
openchat
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