Qwen2.5 0.5B vs Qwen2.5 1.5B Quantized.w8a8

Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.

Qwen2.5 0.5B

Alibaba · 494M

Chat
Qwen2.5 1.5B Quantized.w8a8

RedHatAI · 1.8B

Chat

Specifications

Qwen2.5 0.5BQwen2.5 1.5B Quantized.w8a8
Parameters494M1.8B
Context33K33K
ArchitectureQwen2ForCausalLMQwen2ForCausalLM
LicenseApache 2.0Apache 2.0
Downloads2.2M1.3M
ReleasedSep 2024Dec 2024

VRAM by Quantization: Qwen2.5 0.5B vs Qwen2.5 1.5B Quantized.w8a8

QuantizationBitsQwen2.5 0.5B VRAMQwen2.5 1.5B Quantized.w8a8 VRAM
Q2_K3.400.5 GB1.1 GB
Q3_K_M3.900.6 GB1.2 GB
Q3_K_S3.500.5 GB1.1 GB
Q4_04.000.6 GB1.3 GB
Q4_K_M4.800.6 GB1.4 GB
Q5_K_M5.700.7 GB1.6 GB
Q6_K6.600.7 GB1.8 GB
Q8_08.000.8 GB2.1 GB

Verdict

Qwen2.5 0.5B needs less VRAM at Q4_K_M (0.6 GB vs 1.4 GB), so it fits on smaller GPUs. Qwen2.5 0.5B is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, Qwen2.5 0.5B or Qwen2.5 1.5B Quantized.w8a8?

At Q4_K_M, Qwen2.5 0.5B needs 0.6 GB and Qwen2.5 1.5B Quantized.w8a8 needs 1.4 GB, so Qwen2.5 0.5B is the lighter option to run locally.

Which has a longer context window, Qwen2.5 0.5B or Qwen2.5 1.5B Quantized.w8a8?

Qwen2.5 0.5B supports 32,768 tokens and Qwen2.5 1.5B Quantized.w8a8 supports 32,768 tokens.

What is the difference between Qwen2.5 0.5B and Qwen2.5 1.5B Quantized.w8a8?

Qwen2.5 0.5B is a 494M model from Alibaba (Qwen 2.5 family), while Qwen2.5 1.5B Quantized.w8a8 is a 1.8B model from RedHatAI (Qwen 2.5 family). Compare their VRAM requirements above to see which fits your GPU or Mac.