Qwen2.5 Coder 14B vs Qwen2.5 1.5B Quantized.w8a8

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

Qwen2.5 Coder 14B

Alibaba · 14.8B

ChatCode
Qwen2.5 1.5B Quantized.w8a8

RedHatAI · 1.8B

Chat

Specifications

Qwen2.5 Coder 14BQwen2.5 1.5B Quantized.w8a8
Parameters14.8B1.8B
Context33K33K
ArchitectureQwen2ForCausalLMQwen2ForCausalLM
LicenseApache 2.0Apache 2.0
Downloads7.6K1.3M
ReleasedNov 2024Dec 2024

VRAM by Quantization: Qwen2.5 Coder 14B vs Qwen2.5 1.5B Quantized.w8a8

QuantizationBitsQwen2.5 Coder 14B VRAMQwen2.5 1.5B Quantized.w8a8 VRAM
Q2_K3.407.0 GB1.1 GB
Q3_K_M3.907.9 GB1.2 GB
Q3_K_S3.501.1 GB
Q4_04.008.1 GB1.3 GB
Q4_K_M4.809.6 GB1.4 GB
Q5_K_M5.7011.2 GB1.6 GB
Q6_K6.6012.9 GB1.8 GB
Q8_08.0015.5 GB2.1 GB

Verdict

Qwen2.5 1.5B Quantized.w8a8 needs less VRAM at Q4_K_M (1.4 GB vs 9.6 GB), so it fits on smaller GPUs. Qwen2.5 1.5B Quantized.w8a8 is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, Qwen2.5 Coder 14B or Qwen2.5 1.5B Quantized.w8a8?

At Q4_K_M, Qwen2.5 Coder 14B needs 9.6 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 Coder 14B or Qwen2.5 1.5B Quantized.w8a8?

Qwen2.5 Coder 14B supports 32,768 tokens and Qwen2.5 1.5B Quantized.w8a8 supports 32,768 tokens.

What is the difference between Qwen2.5 Coder 14B and Qwen2.5 1.5B Quantized.w8a8?

Qwen2.5 Coder 14B is a 14.8B 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.