Qwen2.5 32B Instruct Abliterated vs Qwen2.5 1.5B Quantized.w8a8
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Qwen2.5 32B Instruct Abliterated | Qwen2.5 1.5B Quantized.w8a8 | |
|---|---|---|
| Parameters | 32B | 1.8B |
| Context | 33K | 33K |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 2.4K | 1.3M |
| Released | Apr 2025 | Dec 2024 |
VRAM by Quantization: Qwen2.5 32B Instruct Abliterated vs Qwen2.5 1.5B Quantized.w8a8
| Quantization | Bits | Qwen2.5 32B Instruct Abliterated VRAM | Qwen2.5 1.5B Quantized.w8a8 VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 14.4 GB | 1.1 GB |
| Q3_K_M | 3.90 | 16.4 GB | 1.2 GB |
| Q3_K_S | 3.50 | 14.8 GB | 1.1 GB |
| Q4_0 | 4.00 | 16.8 GB | 1.3 GB |
| Q4_K_M | 4.80 | 20.0 GB | 1.4 GB |
| Q5_K_M | 5.70 | 23.6 GB | 1.6 GB |
| Q6_K | 6.60 | 27.2 GB | 1.8 GB |
| Q8_0 | 8.00 | 32.8 GB | 2.1 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 1.5B Quantized.w8a8 is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Qwen2.5 32B Instruct Abliterated or Qwen2.5 1.5B Quantized.w8a8?
At Q4_K_M, Qwen2.5 32B Instruct Abliterated 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 Abliterated or Qwen2.5 1.5B Quantized.w8a8?
Qwen2.5 32B Instruct Abliterated supports 32,768 tokens and Qwen2.5 1.5B Quantized.w8a8 supports 32,768 tokens.
- What is the difference between Qwen2.5 32B Instruct Abliterated and Qwen2.5 1.5B Quantized.w8a8?
Qwen2.5 32B Instruct Abliterated is a 32B model from huihui-ai (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.