Open-weight local LLM

Yi 1.5 (34B)

High-performing bilingual (EN/CN) model. Strong at general tasks. 305K downloads.

32 GB power user 24 GB RAM Q5_K_M General local assistant
Parameters
34B
Minimum RAM
24 GB
Model size
20 GB
Quantization
Q5_K_M

Can Yi 1.5 (34B) run locally?

Yi 1.5 (34B) belongs on 32 GB machines when you want stronger quality without jumping to server hardware.

Search for yi-1.5-34b-chat in LM Studio or another GGUF-compatible runtime.

chatgeneralpower

Install path

01
Check RAM fitMinimum 24 GB RAM. Start with the Q5_K_M quant.
02
Load the modelSearch yi-1.5-34b-chat in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • High-performing bilingual (EN/CN) model. Strong at general tasks. 305K downloads.

Limitations

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

Best use cases

  • chat
  • general
  • power

Capability profile

speed
4
quality
8
coding
7
reasoning
8

Technical notes

Developer
yi
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