DeepSeek R1 Distill Qwen 14B vs DeepSeek R1 Distill Qwen 32B Abliterated
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| DeepSeek R1 Distill Qwen 14B | DeepSeek R1 Distill Qwen 32B Abliterated | |
|---|---|---|
| Parameters | 14.8B | 32.8B |
| Context | 131K | 131K |
| Architecture | Qwen2ForCausalLM | Qwen2ForCausalLM |
| License | MIT | — |
| Downloads | 742.0K | 5.3K |
| Released | Feb 2025 | Feb 2025 |
VRAM by Quantization: DeepSeek R1 Distill Qwen 14B vs DeepSeek R1 Distill Qwen 32B Abliterated
| Quantization | Bits | DeepSeek R1 Distill Qwen 14B VRAM | DeepSeek R1 Distill Qwen 32B Abliterated VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 7.0 GB | 14.8 GB |
| Q3_K_M | 3.90 | 7.9 GB | 16.8 GB |
| Q3_K_S | 3.50 | 7.2 GB | 15.2 GB |
| Q4_0 | 4.00 | 8.1 GB | 17.2 GB |
| Q4_K_M | 4.80 | 9.6 GB | 20.5 GB |
| Q5_K_M | 5.70 | 11.2 GB | 24.2 GB |
| Q6_K | 6.60 | 12.9 GB | 27.9 GB |
| Q8_0 | 8.00 | 15.5 GB | 33.6 GB |
Verdict
DeepSeek R1 Distill Qwen 14B needs less VRAM at Q4_K_M (9.6 GB vs 20.5 GB), so it fits on smaller GPUs. DeepSeek R1 Distill Qwen 14B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, DeepSeek R1 Distill Qwen 14B or DeepSeek R1 Distill Qwen 32B Abliterated?
At Q4_K_M, DeepSeek R1 Distill Qwen 14B needs 9.6 GB and DeepSeek R1 Distill Qwen 32B Abliterated needs 20.5 GB, so DeepSeek R1 Distill Qwen 14B is the lighter option to run locally.
- Which has a longer context window, DeepSeek R1 Distill Qwen 14B or DeepSeek R1 Distill Qwen 32B Abliterated?
DeepSeek R1 Distill Qwen 14B supports 131,072 tokens and DeepSeek R1 Distill Qwen 32B Abliterated supports 131,072 tokens.
- What is the difference between DeepSeek R1 Distill Qwen 14B and DeepSeek R1 Distill Qwen 32B Abliterated?
DeepSeek R1 Distill Qwen 14B is a 14.8B model from DeepSeek (Qwen family), while DeepSeek R1 Distill Qwen 32B Abliterated is a 32.8B model from huihui-ai (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.