DeepSeek R1 Distill Qwen 14B vs Josiefied Qwen3 8B Abliterated V1
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| DeepSeek R1 Distill Qwen 14B | Josiefied Qwen3 8B Abliterated V1 | |
|---|---|---|
| Parameters | 14.8B | 8.2B |
| Context | 131K | 41K |
| Architecture | Qwen2ForCausalLM | Qwen3ForCausalLM |
| License | MIT | — |
| Downloads | 742.0K | 4.0K |
| Released | Feb 2025 | Aug 2025 |
VRAM by Quantization: DeepSeek R1 Distill Qwen 14B vs Josiefied Qwen3 8B Abliterated V1
| Quantization | Bits | DeepSeek R1 Distill Qwen 14B VRAM | Josiefied Qwen3 8B Abliterated V1 VRAM |
|---|---|---|---|
| Q2_K | 3.40 | 7.0 GB | — |
| Q3_K_M | 3.90 | 7.9 GB | — |
| Q3_K_S | 3.50 | 7.2 GB | — |
| Q4_0 | 4.00 | 8.1 GB | — |
| Q4_K_M | 4.80 | 9.6 GB | 5.5 GB |
| Q5_K_M | 5.70 | 11.2 GB | 6.4 GB |
| Q6_K | 6.60 | 12.9 GB | 7.4 GB |
| Q8_0 | 8.00 | 15.5 GB | 8.8 GB |
Verdict
Josiefied Qwen3 8B Abliterated V1 needs less VRAM at Q4_K_M (5.5 GB vs 9.6 GB), so it fits on smaller GPUs. DeepSeek R1 Distill Qwen 14B supports a longer context window (131K tokens). 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 Josiefied Qwen3 8B Abliterated V1?
At Q4_K_M, DeepSeek R1 Distill Qwen 14B needs 9.6 GB and Josiefied Qwen3 8B Abliterated V1 needs 5.5 GB, so Josiefied Qwen3 8B Abliterated V1 is the lighter option to run locally.
- Which has a longer context window, DeepSeek R1 Distill Qwen 14B or Josiefied Qwen3 8B Abliterated V1?
DeepSeek R1 Distill Qwen 14B supports 131,072 tokens and Josiefied Qwen3 8B Abliterated V1 supports 40,960 tokens.
- What is the difference between DeepSeek R1 Distill Qwen 14B and Josiefied Qwen3 8B Abliterated V1?
DeepSeek R1 Distill Qwen 14B is a 14.8B model from DeepSeek (Qwen family), while Josiefied Qwen3 8B Abliterated V1 is a 8.2B model from Goekdeniz-Guelmez (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.