Nemotron Research Reasoning Qwen 1.5B vs Qwen2.5 1.5B Quantized.w8a8

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

Nemotron Research Reasoning Qwen 1.5B

NVIDIA · 1.8B

ChatReasoning
Qwen2.5 1.5B Quantized.w8a8

RedHatAI · 1.8B

Chat

Specifications

Nemotron Research Reasoning Qwen 1.5BQwen2.5 1.5B Quantized.w8a8
Parameters1.8B1.8B
Context131K33K
ArchitectureQwen2ForCausalLMQwen2ForCausalLM
LicenseCC BY-NC 4.0Apache 2.0
Downloads3.3K1.3M
ReleasedNov 2025Dec 2024

VRAM by Quantization: Nemotron Research Reasoning Qwen 1.5B vs Qwen2.5 1.5B Quantized.w8a8

QuantizationBitsNemotron Research Reasoning Qwen 1.5B 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_M4.801.4 GB
Q5_K_M5.701.6 GB
Q6_K6.601.8 GB
Q8_08.002.1 GB

Verdict

Nemotron Research Reasoning Qwen 1.5B supports a longer context window (131K tokens). Qwen2.5 1.5B Quantized.w8a8 is the more widely downloaded of the two.

Frequently Asked Questions

Which has a longer context window, Nemotron Research Reasoning Qwen 1.5B or Qwen2.5 1.5B Quantized.w8a8?

Nemotron Research Reasoning Qwen 1.5B supports 131,072 tokens and Qwen2.5 1.5B Quantized.w8a8 supports 32,768 tokens.

What is the difference between Nemotron Research Reasoning Qwen 1.5B and Qwen2.5 1.5B Quantized.w8a8?

Nemotron Research Reasoning Qwen 1.5B is a 1.8B model from NVIDIA (Qwen 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.