text-gen 1.5B params

Qwen/Qwen2.5-1.5B

Qwen/Qwen2.5-1.5B

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Hardware Recommendations

Three tiers based on VRAM requirements: minimum for basic inference, comfortable for longer contexts, headroom for future model sizes.

Minimum $299

NVIDIA GeForce RTX 4060 (8GB)

8GB VRAM 115W TDP

Runs 1.5B at Q4_K_M quantization with 4K context.

Comfortable $599

NVIDIA GeForce RTX 4070 (12GB)

12GB VRAM 200W TDP

Runs 1.5B at Q5_K_M quantization with 8K+ context.

Headroom $599

Apple Mac mini (M4, 16GB)

16GB unified 25W TDP

Runs 1.5B at FP16 with 32K+ context or comfortably handles the next size up.

VRAM Requirements

Quantization VRAM Use case
Q4_K_M 3 GB Basic inference, 4K context
Q5_K_M 4 GB Good quality, 8K+ context
Q8 4 GB Near-lossless, 16K+ context
FP16 6 GB Full precision, max quality

Formula: params × bytes_per_param × 1.2 overhead + 2 GB base. Actual requirements vary by framework and context length.