Can Desktop PC · Intel Arc Pro B60 24GB · 32 GB RAM run Qwen2.5-Coder 32B Instruct?
24 GB VRAM + 32 GB RAM · 456 GB/s memory bandwidth · Qwen2.5-Coder 32B Instruct has 32.8B parameters.
Short answer
Yes, comfortable for chat; not recommended for agentic coding.
Best quantization for chat: Q3_K_M (15 GB of weights) on LM Studio. Generation: 10–17 tok/s, leaving about 4.5 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 | Comfortable | Q3_K_M | 10–17 tok/s | ≈7 s | 8K | Details |
| Coding questionswith Continue | Acceptable | Q3_K_M | 10–16 tok/s | ≈50 s | 16K | Details |
| Coding in a repositorywith Aider | Borderline | Q4_K_M | 3.9–6 tok/s | ≈2 min | 32K | Details |
| Agentic codingwith OpenCode | Technically Runs | Q4_K_M | 3.7–6 tok/s | ≈4 min | 32K | Details |
| Long documents (64K)with Open WebUI | Borderline | Q4_K_M | 3.4–6 tok/s | ≈6 min | 32K | 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 16K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/Qwen2.5-Coder-32B-Instruct-GGUF:Q3_K_M
Downloads 15.94 GB (Q3_K_M). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=16384 before `ollama serve` for long prompts.
Other models for Desktop PC · Intel Arc Pro B60 24GB · 32 GB RAM
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B70–120 tok/sExcellent
- Gemma 4 26B-A4B45–80 tok/sExcellent
- LFM2.5 24B-A2B100–170 tok/sExcellent
- gpt-oss-20b60–100 tok/sExcellent
- Qwen3.5 35B-A3B70–120 tok/sExcellent
- GLM-4.7-Flash (30B-A3B)70–120 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
Same chip, other memory: 64 GB
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.