Qwen-AgentWorld-35B-A3B-GGUF
Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants.
Params
—
Context
—
Downloads 30d
423 K
Likes
244
Download history
daily snapshots · 56 days
▲ 36 K in the last 30 days (9.4%)
454 K373 K
Aug 23Sep 2Sep 12Sep 21
673 K373 K
Jul 28Aug 15Sep 3Sep 21
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| Qwen-AgentWorld-35B-A3B-UD-IQ2_XXS.gguf | IQ2_XXS | 11.5 GB | 13.1 GB | ✅ Runs comfortably |
| Qwen-AgentWorld-35B-A3B-UD-IQ2_M.gguf | IQ2_M | 11.6 GB | 13.2 GB | ✅ Runs comfortably |
| Qwen-AgentWorld-35B-A3B-UD-IQ3_XXS.gguf | IQ3_XXS | 13.7 GB | 15.6 GB | ✅ Runs comfortably |
| Qwen-AgentWorld-35B-A3B-UD-IQ3_S.gguf | IQ3_S | 15.0 GB | 17.0 GB | ✅ Runs comfortably |
| Qwen-AgentWorld-35B-A3B-UD-IQ4_XS.gguf | IQ4_XS | 17.8 GB | 20.1 GB | ⚠️ Tight — reduce context |
| Qwen-AgentWorld-35B-A3B-UD-IQ4_NL.gguf | IQ4_NL | 18.1 GB | 20.4 GB | ⚠️ Tight — reduce context |
| Qwen-AgentWorld-35B-A3B-Q8_0.gguf | Q8_0 | 36.9 GB | 41.1 GB | ❌ Won’t fit |
| Qwen-AgentWorld-35B-A3B-BF16-00001-of-00002.gguf | GGUF | 49.8 GB | 55.3 GB | ❌ Won’t fit |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ ollama run qwen-agentworld-35b-a3b-gguf # pin the quantization explicitly $ ollama run qwen-agentworld-35b-a3b-gguf-gguf
$ huggingface-cli download unsloth/Qwen-AgentWorld-35B-A3B-GGUF-GGUF \
Qwen-AgentWorld-35B-A3B-BF16-00001-of-00002.gguf --local-dir .
$ llama-cli -m Qwen-AgentWorld-35B-A3B-BF16-00001-of-00002.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen-agentworld-35b-a3b-gguf
{
"hf_id": "unsloth/Qwen-AgentWorld-35B-A3B-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 422553,
"vram_estimates": [
{ "quant": "GGUF", "gb": 55.3 },
{ "quant": "Q8_0", "gb": 41.1 }
],
"updated_at": "2026-07-28T18:04:21Z"
}
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2026-06-24
- Training datasets
- Qwen/AgentWorldBench
- Added to our catalog
- 2026-07-28
Compare with any text-generation model