Qwen3.8-27B-Defiance-Uncensored-MTP-GGUF
W I L L  I T  D O  I T ?
Params
27.0 B
Context
—
Downloads 30d
590 K
Likes
214
Download history
daily snapshots · 13 days590 K143 K
Oct 29Nov 2Nov 6Nov 10
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 |
|---|---|---|---|---|
| Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-FastMTP-32K.gguf | GGUF | 0.9 GB | 5.5 GB | ✅ Runs comfortably |
| Qwen3.8-27B-Defiance-Uncensored-IQ4_XS.gguf | IQ4_XS | 15.7 GB | 21.8 GB | ⚠️ Tight — reduce context |
| Qwen3.8-27B-Defiance-Uncensored-Q6_K_P.gguf | Q6_K_P | 25.9 GB | 33.1 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 qwen3-8-27b-defiance-uncensored-mtp-gguf # pin the quantization explicitly $ ollama run qwen3-8-27b-defiance-uncensored-mtp-gguf-iq4_xs
$ huggingface-cli download ttindall/Qwen3.8-27B-Defiance-Uncensored-MTP-GGUF-GGUF \
Qwen3.8-27B-Defiance-Uncensored-IQ4_XS.gguf --local-dir .
$ llama-cli -m Qwen3.8-27B-Defiance-Uncensored-IQ4_XS.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-8-27b-defiance-uncensored-mtp-gguf
{
"hf_id": "ttindall/Qwen3.8-27B-Defiance-Uncensored-MTP-GGUF",
"params_b": 27.00,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 589895,
"vram_estimates": [
{ "quant": "IQ4_XS", "gb": 21.8 },
{ "quant": "Q6_K_P", "gb": 33.1 }
],
"updated_at": "2026-10-29T01:00:32Z"
}
Specifications
- Parameters
- 27.0 B
- Licence
- apache-2.0
- First seen on the Hub
- 2026-10-17
- Base model
- Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF
- Training datasets
- undisclosed
- Added to our catalog
- 2026-10-29
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model
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