Run unsloth/Qwen-AgentWorld-35B-A3B-GGUF locally
unsloth/Qwen-AgentWorld-35B-A3B-GGUF 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 377,256 times.
To run unsloth/Qwen-AgentWorld-35B-A3B-GGUF locally at a 4,096-token context, its quantized versions need between 11.66 GB (IQ2_XXS, lowest quality) and 65.57 GB (BF16, highest quality) of memory, weights plus KV cache and a system margin included.
For most users the best balance is Q4_K_XL, needing about 21.75 GB. That means unsloth/Qwen-AgentWorld-35B-A3B-GGUF fits entirely in the VRAM of a 12 GB GPU or larger, running fully on the GPU.
All quantizations
| Quant. | Bits | Quality | Weights | KV | Total | Speed~ | Verdict |
|---|---|---|---|---|---|---|---|
| IQ2_XXS | 2.65 | Low | 10.71 GB | 0.16 GB | 11.66 GB | 4.7 t/s | Offload |
| IQ2_M | 2.67 | Low | 10.77 GB | 0.16 GB | 11.73 GB | 4.6 t/s | Offload |
| Q2_K_XL | 2.83 | Low | 11.41 GB | 0.16 GB | 12.37 GB | 4.4 t/s | Offload |
| IQ3_XXS | 3.17 | Low | 12.8 GB | 0.16 GB | 13.76 GB | 3.9 t/s | Offload |
| IQ3_S | 3.46 | Fair | 13.96 GB | 0.16 GB | 14.91 GB | 3.6 t/s | Offload |
| Q3_K_M | 3.85 | Fair | 15.53 GB | 0.16 GB | 16.49 GB | 3.2 t/s | Offload |
| Q3_K_XL | 3.88 | Fair | 15.65 GB | 0.16 GB | 16.61 GB | 3.2 t/s | Offload |
| IQ4_XS | 4.1 | Fair | 16.56 GB | 0.16 GB | 17.52 GB | 3.0 t/s | Offload |
| IQ4_NL | 4.18 | Fair | 16.87 GB | 0.16 GB | 17.82 GB | 3.0 t/s | Offload |
| Q4_K_S | 4.82 | Good | 19.46 GB | 0.16 GB | 20.41 GB | 2.6 t/s | Offload |
| GGUF | 5.0 | Very good | 20.18 GB | 0.16 GB | 21.14 GB | 2.5 t/s | Offload |
| Q4_K_M | 5.11 | Very good | 20.61 GB | 0.16 GB | 21.57 GB | 2.4 t/s | Offload |
| Q4_K_XL | 5.15 | Very good | 20.79 GB | 0.16 GB | 21.75 GB | 2.4 t/s | Offload |
| Q5_K_S | 5.76 | Very good | 23.23 GB | 0.16 GB | 24.19 GB | — | Insufficient |
| Q5_K_M | 6.11 | Very good | 24.64 GB | 0.16 GB | 25.6 GB | — | Insufficient |
| Q5_K_XL | 6.12 | Very good | 24.71 GB | 0.16 GB | 25.66 GB | — | Insufficient |
| Q6_K | 6.76 | Excellent | 27.3 GB | 0.16 GB | 28.25 GB | — | Insufficient |
| Q6_K_XL | 7.35 | Excellent | 29.66 GB | 0.16 GB | 30.61 GB | — | Insufficient |
| Q8_0 | 8.52 | Excellent | 34.37 GB | 0.16 GB | 35.32 GB | — | Insufficient |
| Q8_K_XL | 8.82 | Excellent | 35.58 GB | 0.16 GB | 36.53 GB | — | Insufficient |
| BF16 | 16.01 | Excellent | 64.61 GB | 0.16 GB | 65.57 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 unsloth/Qwen-AgentWorld-35B-A3B-GGUF?
You need about 11.73 GB of VRAM to run unsloth/Qwen-AgentWorld-35B-A3B-GGUF entirely on the GPU using the IQ2_M quantization (at a 4,096-token context). Smaller quantizations lower the requirement at the cost of quality.
Can I run unsloth/Qwen-AgentWorld-35B-A3B-GGUF on an 8 GB GPU?
Partially. unsloth/Qwen-AgentWorld-35B-A3B-GGUF only fits on an 8 GB GPU by offloading part of it to system RAM (with Q4_K_XL), which runs but is slower.
Can I run unsloth/Qwen-AgentWorld-35B-A3B-GGUF on a 16 GB GPU?
Yes. With 16 GB of VRAM you can run unsloth/Qwen-AgentWorld-35B-A3B-GGUF fully on the GPU using IQ3_S (about 14.91 GB).
Can I run unsloth/Qwen-AgentWorld-35B-A3B-GGUF on a 24 GB GPU?
Yes. With 24 GB of VRAM you can run unsloth/Qwen-AgentWorld-35B-A3B-GGUF fully on the GPU using Q4_K_XL (about 21.75 GB).
What is the best quantization for unsloth/Qwen-AgentWorld-35B-A3B-GGUF?
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.