Qwen2.5 32B Instruct vs Qwen2.5 1.5B Quantized.w8a8

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

Qwen2.5 32B Instruct

Alibaba · 32B

Chat
Qwen2.5 1.5B Quantized.w8a8

RedHatAI · 1.8B

Chat

Specifications

Qwen2.5 32B InstructQwen2.5 1.5B Quantized.w8a8
Parameters32B1.8B
Context33K33K
ArchitectureQwen2ForCausalLMQwen2ForCausalLM
LicenseApache 2.0Apache 2.0
Downloads2.8M1.3M
ReleasedSep 2024Dec 2024

VRAM by Quantization: Qwen2.5 32B Instruct vs Qwen2.5 1.5B Quantized.w8a8

QuantizationBitsQwen2.5 32B Instruct VRAMQwen2.5 1.5B Quantized.w8a8 VRAM
Q2_K3.4014.4 GB1.1 GB
Q3_K_M3.9016.4 GB1.2 GB
Q3_K_S3.5014.8 GB1.1 GB
Q4_04.0016.8 GB1.3 GB
Q4_K_M4.8020.0 GB1.4 GB
Q5_K_M5.7023.6 GB1.6 GB
Q6_K6.6027.2 GB1.8 GB
Q8_08.0032.8 GB2.1 GB

Verdict

Qwen2.5 1.5B Quantized.w8a8 needs less VRAM at Q4_K_M (1.4 GB vs 20.0 GB), so it fits on smaller GPUs. Qwen2.5 32B Instruct is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, Qwen2.5 32B Instruct or Qwen2.5 1.5B Quantized.w8a8?

At Q4_K_M, Qwen2.5 32B Instruct needs 20.0 GB and Qwen2.5 1.5B Quantized.w8a8 needs 1.4 GB, so Qwen2.5 1.5B Quantized.w8a8 is the lighter option to run locally.

Which has a longer context window, Qwen2.5 32B Instruct or Qwen2.5 1.5B Quantized.w8a8?

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

What is the difference between Qwen2.5 32B Instruct and Qwen2.5 1.5B Quantized.w8a8?

Qwen2.5 32B Instruct is a 32B 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.