Can Desktop PC · RTX PRO 6000 Blackwell · 128 GB RAM run Llama 3.2 3B Instruct?
96 GB VRAM + 128 GB RAM · 1792 GB/s memory bandwidth · Llama 3.2 3B Instruct has 3.2B parameters.
Short answer
Yes, excellent for chat; not recommended for coding in a repository.
Best quantization for chat: Q6_K (2.5 GB of weights) on Ollama. Generation: 300–410 tok/s, leaving about 91 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 | 300–410 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Acceptable | Q8_0 | 220–290 tok/s | under 1 s | 16K | Details |
| Coding in a repositorywith Aider | Technically Runs | Q6_K | 200–260 tok/s | under 1 s | 32K | Details |
| Agentic codingwith OpenCode | Technically Runs | Q8_0 | 150–200 tok/s | ≈1 s | 32K | Details |
| Long documents (64K)with Open WebUI | Comfortable | Q8_0 | 95–130 tok/s | ≈3 s | 64K | 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 Q8_0 build with a 64K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/Llama-3.2-3B-Instruct-GGUF:Q8_0
Downloads 3.42 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 · 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 Llama 3.2 3B Instruct
Hardware rated comfortable or better for chat, lowest price first.
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.