Can Desktop PC · RTX PRO 6000 Blackwell · 128 GB RAM run Qwen2.5-Coder 32B Instruct?
96 GB VRAM + 128 GB RAM · 1792 GB/s memory bandwidth · Qwen2.5-Coder 32B Instruct has 32.8B parameters.
Short answer
Yes, excellent for chat and acceptable or better for every workload we test.
Best quantization for chat: Q6_K (25 GB of weights) on Ollama. Generation: 30–45 tok/s, leaving about 66 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 | 30–45 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Excellent | Q5_K_M | 35–50 tok/s | ≈2 s | 16K | Details |
| Coding in a repositorywith Aider | Acceptable | Q6_K | 30–40 tok/s | ≈6 s | 32K | Details |
| Agentic codingwith OpenCode | Acceptable | Q6_K | 25–35 tok/s | ≈8 s | 32K | Details |
| Long documents (64K)with Open WebUI | Acceptable | Q6_K | 25–35 tok/s | ≈15 s | 32K | Details |
Speeds are estimates calibrated against measured benchmarks on similar hardware. “First reply” is the time to read the workload’s opening prompt. How we calculate
Get it running
Copy-paste commands for the Q6_K build with a 32K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/Qwen2.5-Coder-32B-Instruct-GGUF:Q6_K
Downloads 26.89 GB (Q6_K). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=32768 before `ollama serve` for long prompts.
Other models for Desktop PC · RTX PRO 6000 Blackwell · 128 GB RAM
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B260–360 tok/sExcellent
- Qwen3-Next 80B-A3B Instruct260–360 tok/sExcellent
- gpt-oss-120b≈180 tok/sExcellent
- Gemma 4 26B-A4B210–280 tok/sExcellent
- Qwen3.5 35B-A3B260–360 tok/sExcellent
- LFM2.5 24B-A2B530–720 tok/sExcellent
Cheapest machines for Qwen2.5-Coder 32B Instruct
Hardware rated comfortable or better for chat, lowest price first.
- Desktop PC · GeForce RTX 3090 · 32 GB RAM$1,700 · 25–35 tok/sExcellent
- Desktop PC · Radeon RX 7900 XTX · 32 GB RAM$1,800 · 30–40 tok/sExcellent
- Desktop PC · GeForce RTX 3090 · 64 GB RAM$1,828 · 25–35 tok/sExcellent
- Desktop PC · Radeon RX 7900 XTX · 64 GB RAM$1,928 · 30–40 tok/sExcellent
- Mac Studio M1 Max 32 GB$1,999 · 12–17 tok/sComfortable
- Mac Studio M2 Max 32 GB$2,199 · 12–17 tok/sComfortable
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.