Can Desktop PC · 2× GeForce RTX 3090 (48 GB) · 128 GB RAM run Qwen3 30B-A3B Instruct 2507?
48 GB VRAM + 128 GB RAM · 936 GB/s memory bandwidth · Qwen3 30B-A3B Instruct 2507 has 30.5B parameters (3.3B active per token).
Short answer
Yes, excellent for chat and comfortable or better for every workload we test.
Best quantization for chat: Q6_K (24 GB of weights) on Ollama. Generation: 120–190 tok/s, leaving about 22 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 | Excellent | Q6_K | 120–190 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Excellent | Q6_K | 110–180 tok/s | ≈1 s | 16K | Details |
| Coding in a repositorywith Aider | Comfortable | Q8_0 | 70–110 tok/s | ≈3 s | 32K | Details |
| Agentic codingwith OpenCode | Comfortable | Q8_0 | 60–100 tok/s | ≈4 s | 32K | Details |
| Long documents (64K)with Open WebUI | Excellent | Q8_0 | 40–65 tok/s | ≈10 s | 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 Q8_0 build with a 64K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/Qwen3-30B-A3B-Instruct-2507-GGUF:Q8_0
Downloads 32.48 GB (Q8_0). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=65536 before `ollama serve` for long prompts.
Other models for Desktop PC · 2× GeForce RTX 3090 (48 GB) · 128 GB RAM
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B140–230 tok/sExcellent
- Gemma 4 26B-A4B110–180 tok/sExcellent
- Qwen3.5 35B-A3B140–230 tok/sExcellent
- LFM2.5 24B-A2B270–450 tok/sExcellent
- gpt-oss-20b160–270 tok/sExcellent
- GLM-4.7-Flash (30B-A3B)130–220 tok/sExcellent
Cheapest machines for Qwen3 30B-A3B Instruct 2507
Hardware rated comfortable or better for chat, lowest price first.
- Laptop · Ryzen AI 9 HX 370 (Radeon 890M) · 32 GB$1,300 · 20–35 tok/sComfortable
- Laptop · Core Ultra 7 258V (Arc 140V) · 32 GB$1,300 · 17–30 tok/sComfortable
- Mac mini M4 32 GB$1,399 · 25–35 tok/sExcellent
- Desktop PC · Ryzen 9 9950X (no GPU) · 64 GB DDR5$1,400 · 11–18 tok/sComfortable
- Desktop PC · Intel Arc Pro B60 24GB · 32 GB RAM$1,500 · 60–95 tok/sExcellent
- Ryzen AI Max+ 395 mini PC / Framework Desktop · 64 GB$1,600 · 50–65 tok/sExcellent
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.