Open-weight local LLM
Qwen 2.5 (72B)
Alibaba's massive 72B. Among the best open models globally. Exceptional multilingual + coding + reasoning.
64 GB workstation
64 GB RAM
Q4_K_M
Maximum quality outputs
Parameters
72B
Minimum RAM
64 GB
Model size
42 GB
Quantization
Q4_K_M
Can Qwen 2.5 (72B) run locally?
Qwen 2.5 (72B) is best for 64 GB workstations and larger Apple Silicon or NVIDIA setups.
Search for qwen2.5-72b-instruct in LM Studio or another GGUF-compatible runtime.
lmstudio-community/Qwen2.5-72B-Instruct-GGUFchatcodequalitygeneral
Install path
01
Check RAM fitMinimum 64 GB RAM. Start with the Q4_K_M quant.02
Load the modelSearch qwen2.5-72b-instruct in LM Studio.03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.Strengths
- Among the best open 72B models globally
- Exceptional multilingual
- Top coding and reasoning
- 128K context
Limitations
- Requires 64GB+ RAM
- Very slow on consumer hardware
- Restrictive license vs Apache 2.0
Best use cases
- Maximum quality outputs
- Research
- Enterprise AI
- Complex analysis
Capability profile
Technical notes
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.