Open-weight local LLM

Athene V2 (72B)

72B excelling at code + math. Solid benchmarks but overshadowed by newer 2026 models. 99K downloads.

64 GB workstation 64 GB RAM Q4_K_M Coding assistant
Parameters
72B
Minimum RAM
64 GB
Model size
42 GB
Quantization
Q4_K_M

Can Athene V2 (72B) run locally?

Athene V2 (72B) is best for 64 GB workstations and larger Apple Silicon or NVIDIA setups.

Search for athene-v2-chat in LM Studio or another GGUF-compatible runtime.

codereasoningquality

Install path

01
Check RAM fitMinimum 64 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch athene-v2-chat in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Strengths

  • 72B excelling at code + math. Solid benchmarks but overshadowed by newer 2026 models. 99K downloads.

Limitations

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

Best use cases

  • code
  • reasoning
  • quality

Capability profile

speed
2
quality
9
coding
9
reasoning
9

Technical notes

Developer
athene
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