Open-weight local LLM
Llama 4 Maverick (17B/128E MoE)
Meta's largest open MoE. 17B active params across 128 experts (~400B total). Multimodal with exceptional image reasoning. Server-grade hardware required. Llama 4 License.
Server-grade
320 GB RAM
Q4_K_M
Maximum quality outputs
Parameters
17B active (400B total, 128 experts)
Minimum RAM
320 GB
Model size
220 GB
Quantization
Q4_K_M
Can Llama 4 Maverick (17B/128E MoE) run locally?
Llama 4 Maverick (17B/128E MoE) is server-grade locally. Keep it for comparison unless you have very large unified memory, multiple GPUs or remote inference.
Search for llama-4-maverick in LM Studio or another GGUF-compatible runtime.
meta-llama/Llama-4-Maverick-17B-128E-Instruct-GGUFchatvisionquality
Install path
01
Check RAM fitMinimum 320 GB RAM. Start with the Q4_K_M quant.02
Load the modelSearch llama-4-maverick in LM Studio.03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.Strengths
- Largest open MoE model from Meta
- Incredible multimodal capabilities
- Top-tier on all benchmarks
Limitations
- Requires 320GB+ RAM
- Server-grade hardware only
- Very slow on consumer hardware
Best use cases
- Maximum quality outputs
- Research
- Enterprise multimodal AI
- Frontier tasks
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.