Can Laptop · Ryzen AI 9 HX 370 (Radeon 890M) · 32 GB run Gemma 4 31B?
32 GB unified · 120 GB/s memory bandwidth · Gemma 4 31B has 31.3B parameters.
Short answer
Yes, acceptable for chat; not recommended for coding in a repository.
Best quantization for chat: Q3_K_M (14 GB of weights) on Lemonade. Generation: 3.9–7 tok/s, leaving about 6.4 GB free for your other apps.
How it rates for each workload
Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.
| Workload | Verdict | Quant | Generation | First reply | Context | |
|---|---|---|---|---|---|---|
| Chatwith Open WebUI | Acceptable | Q3_K_M | 3.9–7 tok/s | ≈10 s | 8K | Details |
| Coding questionswith Continue | Borderline | Q4_K_M | 3.2–5 tok/s | ≈65 s | 16K | Details |
| Coding in a repositorywith Aider | Technically Runs | Q4_K_M | 3–5 tok/s | ≈3 min | 32K | Details |
| Agentic codingwith OpenCode | Technically Runs | Q4_K_M | 3–5 tok/s | ≈4 min | 32K | Details |
| Long documents (64K)with Open WebUI | Borderline | Q3_K_M | 3–5 tok/s | ≈16 min | 64K | Details |
Speeds are bandwidth-based estimates; no direct benchmark exists for this pair. “First reply” is the time to read the workload’s opening prompt. How we calculate
Get it running
Copy-paste commands for the Q3_K_M build with a 8K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/gemma-4-31B-it-GGUF:Q3_K_M
Downloads 14.74 GB (Q3_K_M). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=8192 before `ollama serve` for long prompts.
Other models for Laptop · Ryzen AI 9 HX 370 (Radeon 890M) · 32 GB
The best-rated models for chat on this machine.
- LFM2.5 24B-A2B35–60 tok/sExcellent
- gpt-oss-20b20–35 tok/sExcellent
- MiniCPM5 2B20–35 tok/sExcellent
- Qwen3.5 4B15–25 tok/sExcellent
- Llama 3.2 3B Instruct20–35 tok/sExcellent
- Gemma 4 26B-A4B16–25 tok/sComfortable
Cheapest machines for Gemma 4 31B
Hardware rated comfortable or better for chat, lowest price first.
- Desktop PC · Intel Arc Pro B60 24GB · 32 GB RAM$1,500 · 9–16 tok/sComfortable
- Ryzen AI Max+ 395 mini PC / Framework Desktop · 64 GB$1,600 · 10–14 tok/sComfortable
- Desktop PC · Intel Arc Pro B60 24GB · 64 GB RAM$1,628 · 9–16 tok/sComfortable
- Desktop PC · GeForce RTX 3090 · 32 GB RAM$1,700 · 30–40 tok/sExcellent
- Desktop PC · Radeon RX 7900 XTX · 32 GB RAM$1,800 · 30–45 tok/sExcellent
- Desktop PC · GeForce RTX 3090 · 64 GB RAM$1,828 · 30–40 tok/sExcellent
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.