Question 1

What LLM models can I run on Intel Arc A770?

Accepted Answer

With 16 GB of VRAM, you can run models that require up to approximately 14 GB of VRAM (leaving some headroom for context). This typically includes models up to 24B parameters in Q4 quantization, or 12B parameters in Q8. Check the compatible models list on this page for specific recommendations.

Question 2

Is Intel Arc A770 good for local LLM inference?

Accepted Answer

Intel Arc A770 is a mid-tier GPU. It provides a good balance of cost and capability for local LLM inference, suitable for hobbyists and developers.

Question 3

Should I upgrade from Intel Arc A770 for better LLM performance?

Accepted Answer

If you find yourself wanting to run larger models or need faster inference, consider moving up to the next performance tier. Each tier unlock adds more compatible models and better token generation speeds.

Vendor	Intel
Full Name	Intel Arc A770
VRAM	16GB
Performance Tier	Mid-Range
Benchmark Score	15,500
FP32 Compute	19.66TFLOPS
Memory Bandwidth	560GB/s
Compatible Models	20Models that can run on this GPU

Intel Arc A770

Specifications

Strengths

Limitations

Compatible Models (20)

DeepSeek R1 Distill Qwen 14B Q4_K_M

Qwen3 14B Q4_K_M

DeepSeek V3 Lite Q4_K_M

Phi-4 14B Q4_K_M

Yi 1.5 9B Q8_0

Llama 3.1 8B Q8_0

Gemma 3 12B Q4_K_M

DeepSeek R1 Distill Llama 8B Q8_0

DeepSeek R1 Distill Qwen 7B Q8_0

Yi 1.5 9B Q4_K_M

Qwen3 8B Q8_0

Llama 3.1 8B Q4_K_M

FAQ