Qwen2.5 7B Instruct Uncensored vs Qwen2.5 1.5B Quantized.w8a8

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

Qwen2.5 7B Instruct Uncensored

Orion-zhen · 7.6B

Chat
Qwen2.5 1.5B Quantized.w8a8

RedHatAI · 1.8B

Chat

Specifications

Qwen2.5 7B Instruct UncensoredQwen2.5 1.5B Quantized.w8a8
Parameters7.6B1.8B
Context33K33K
ArchitectureQwen2ForCausalLMQwen2ForCausalLM
LicenseGPL 3.0Apache 2.0
Downloads2.5K1.3M
ReleasedApr 2025Dec 2024

VRAM by Quantization: Qwen2.5 7B Instruct Uncensored vs Qwen2.5 1.5B Quantized.w8a8

QuantizationBitsQwen2.5 7B Instruct Uncensored VRAMQwen2.5 1.5B Quantized.w8a8 VRAM
Q2_K3.401.1 GB
Q3_K_M3.901.2 GB
Q3_K_S3.501.1 GB
Q4_04.001.3 GB
Q4_K_M4.805.0 GB1.4 GB
Q5_K_M5.701.6 GB
Q6_K6.601.8 GB
Q8_08.002.1 GB

Verdict

Qwen2.5 1.5B Quantized.w8a8 needs less VRAM at Q4_K_M (1.4 GB vs 5.0 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 7B Instruct Uncensored or Qwen2.5 1.5B Quantized.w8a8?

At Q4_K_M, Qwen2.5 7B Instruct Uncensored needs 5.0 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 7B Instruct Uncensored or Qwen2.5 1.5B Quantized.w8a8?

Qwen2.5 7B Instruct Uncensored supports 32,768 tokens and Qwen2.5 1.5B Quantized.w8a8 supports 32,768 tokens.

What is the difference between Qwen2.5 7B Instruct Uncensored and Qwen2.5 1.5B Quantized.w8a8?

Qwen2.5 7B Instruct Uncensored is a 7.6B model from Orion-zhen (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.