Can Desktop PC · Intel Arc Pro B60 24GB · 64 GB RAM run Llama 3.1 8B Instruct?
24 GB VRAM + 64 GB RAM · 456 GB/s memory bandwidth · Llama 3.1 8B Instruct has 8B parameters.
Short answer
Yes, excellent for chat; borderline for coding in a repository.
Best quantization for chat: Q6_K (6.3 GB of weights) on LM Studio. Generation: 25–40 tok/s, leaving about 15 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 | 25–40 tok/s | ≈2 s | 8K | Details |
| Coding questionswith Continue | Acceptable | Q6_K | 25–40 tok/s | ≈10 s | 16K | Details |
| Coding in a repositorywith Aider | Borderline | Q8_0 | 16–25 tok/s | ≈35 s | 32K | Details |
| Agentic codingwith OpenCode | Borderline | Q8_0 | 15–25 tok/s | ≈50 s | 32K | Details |
| Long documents (64K)with Open WebUI | Acceptable | Q8_0 | 11–19 tok/s | ≈3 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 Q8_0 build with a 64K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/Llama-3.1-8B-Instruct-GGUF:UD-Q8_K_XL
Downloads 10.58 GB (UD-Q8_K_XL). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=65536 before `ollama serve` for long prompts.
Other models for Desktop PC · Intel Arc Pro B60 24GB · 64 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 Llama 3.1 8B Instruct
Hardware rated comfortable or better for chat, lowest price first.
- Mac mini M4 16 GB$599 · 15–20 tok/sComfortable
- Mac mini M6 16 GB$899 · 17–30 tok/sExcellent
- MacBook Air M4 16 GB$999 · 15–20 tok/sComfortable
- Mac mini M4 24 GB$999 · 11–14 tok/sComfortable
- Mac mini M2 16 GB$999 · 13–18 tok/sComfortable
- MacBook Air M5 16 GB$1,099 · 15–25 tok/sExcellent
Same chip, other memory: 32 GB
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.