Run HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive locally
HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive is a very large language model with 34.66 billion parameters, built on the qwen35moe architecture. It is released under the apache-2.0 license and has been downloaded 3,089,944 times.
To run HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive locally at a 4,096-token context, its quantized versions need between 2.11 GB (F16, lowest quality) and 41.88 GB (Q8_K_P, highest quality) of memory, weights plus KV cache and a system margin included.
For most users the best balance is F16, needing about 2.11 GB. That means HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive fits entirely in the VRAM of a 6 GB GPU or larger, running fully on the GPU.
All quantizations
| Quant. | Bits | Quality | Weights | KV | Total | Speed~ | Verdict |
|---|---|---|---|---|---|---|---|
| F16 | 0.21 | Very low | 0.84 GB | 0.47 GB | 2.11 GB | 477.6 t/s | Fits in VRAM |
| IQ2_M | 2.69 | Low | 10.86 GB | 0.47 GB | 12.13 GB | 4.6 t/s | Offload |
| Q2_K_P | 3.46 | Fair | 13.95 GB | 0.47 GB | 15.23 GB | 3.6 t/s | Offload |
| IQ3_M | 3.56 | Fair | 14.38 GB | 0.47 GB | 15.65 GB | 3.5 t/s | Offload |
| IQ4_XS | 4.32 | Good | 17.44 GB | 0.47 GB | 18.72 GB | 2.9 t/s | Offload |
| Q3_K_P | 4.39 | Good | 17.72 GB | 0.47 GB | 18.99 GB | 2.8 t/s | Offload |
| IQ4_NL | 4.57 | Good | 18.42 GB | 0.47 GB | 19.7 GB | 2.7 t/s | Offload |
| Q4_K_M | 4.89 | Good | 19.71 GB | 0.47 GB | 20.99 GB | 2.5 t/s | Offload |
| Q4_K_P | 5.41 | Very good | 21.82 GB | 0.47 GB | 23.09 GB | 2.3 t/s | Offload |
| Q5_K_P | 6.47 | Very good | 26.1 GB | 0.47 GB | 27.38 GB | — | Insufficient |
| Q6_K_P | 7.07 | Excellent | 28.54 GB | 0.47 GB | 29.82 GB | — | Insufficient |
| Q8_K_P | 10.06 | Excellent | 40.61 GB | 0.47 GB | 41.88 GB | — | Insufficient |
KV cache computed from the model's exact architecture. Speed is a rough estimate bounded by memory bandwidth.
Frequently asked questions
How much VRAM do you need to run HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive?
You need about 2.11 GB of VRAM to run HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive entirely on the GPU using the F16 quantization (at a 4,096-token context). Smaller quantizations lower the requirement at the cost of quality.
Can I run HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive on an 8 GB GPU?
Yes. With 8 GB of VRAM you can run HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive fully on the GPU using F16 (about 2.11 GB).
Can I run HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive on a 16 GB GPU?
Yes. With 16 GB of VRAM you can run HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive fully on the GPU using IQ3_M (about 15.65 GB).
Can I run HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive on a 24 GB GPU?
Yes. With 24 GB of VRAM you can run HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive fully on the GPU using Q4_K_P (about 23.09 GB).
What is the best quantization for HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive?
If memory allows, higher bits-per-weight means better quality. A common sweet spot is a Q4_K_M or Q5_K_M quantization, which keeps most of the quality while roughly halving the memory versus 8-bit. Pick the highest quantization that still fits in your VRAM.