Local LLM model page
Llama 4 Maverick (17B/400B MoE)
Meta Llama 4 Maverick — 128-expert MoE flagship. Matches or beats GPT-4o and Gemini 2.0 Flash on reasoning, coding and multimodal benchmarks. 1M-token context. Server-grade hardware only. Llama 4 Community License.
Parameters
400B (17B active, 128 experts)
Minimum RAM
384 GB
Model size
240 GB
Quantization
Q4_K_M
Can Llama 4 Maverick (17B/400B MoE) run locally?
Llama 4 Maverick (17B/400B MoE) is best suited for server-grade or multi-GPU systems. LocalClaw recommends Q4_K_M as the default quantization, with at least 384 GB RAM.
Search term for LM Studio or compatible runtimes: llama-4-maverick-17b-128e-instruct
Hugging Face repository: meta-llama/Llama-4-Maverick-17B-128E-Instruct
chatvisionreasoningmultimodalquality
Strengths
- Meta Llama 4 Maverick — 128-expert MoE flagship. Matches or beats GPT-4o and Gemini 2.0 Flash on reasoning, coding and multimodal benchmarks. 1M-token context. Server-grade hardware only. Llama 4 Community License.
Limitations
- Performance depends heavily on quantization, RAM bandwidth and runtime support.
Best use cases
- chat
- vision
- reasoning
- multimodal
- quality
Benchmarks
Speed: 2/10
Quality: 10/10
Coding: 10/10
Reasoning: 10/10
Technical details
Developer: llama
License: See model repository
Context window: Unknown tokens
Architecture: See model card
Released: 2025-04