Local LLM model page
Gemma 4 31B
Largest Gemma 4 model for premium local quality. Strong coding and reasoning with 256K context and broad multilingual support. Apache 2.0.
Parameters
31B
Minimum RAM
32 GB
Model size
19 GB
Quantization
Q4_K_M
Can Gemma 4 31B run locally?
Gemma 4 31B is best suited for power-user machines with 32 GB RAM. LocalClaw recommends Q4_K_M as the default quantization, with at least 32 GB RAM.
Search term for LM Studio or compatible runtimes: gemma-4-31b-it
Hugging Face repository: google/gemma-4-31B-it
chatcodereasoningqualitymultimodalgeneral
Strengths
- Highest quality in Gemma 4 family
- Strong coding + reasoning
- 256K context for long documents
- Multimodal support
Limitations
- Requires high-end local hardware
- Heavier inference cost than E2B/E4B
Best use cases
- Premium local assistant
- Complex coding tasks
- Long-context research
- Multimodal enterprise workflows
Benchmarks
Speed: 5/10
Quality: 9/10
Coding: 9/10
Reasoning: 9/10
Technical details
Developer: Google DeepMind
License: Apache 2.0
Context window: 262,144 tokens
Architecture: Gemma 4 dense high-capacity multimodal Transformer (31B)
Released: 2026-03