Qwen3.8-27B-Uncensored-GGUF
Uncensored Qwen3.8-27B, published as GGUF quantizations with the multi token prediction (MTP) head retained and verified.
Params
—
Context
—
Downloads 30d
2.3 M
Likes
1,165
Download history
daily snapshots · 35 days
▲ 1.3 M in the last 30 days (134.9%)
3.0 M1.1 M
Aug 22Sep 1Sep 11Sep 20
3.0 M184 K
Aug 17Aug 28Sep 9Sep 20
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 |
|---|---|---|---|---|
| mmproj-Qwen3.8-27B-Uncensored-F16.gguf | GGUF | 0.9 GB | 1.5 GB | ✅ Runs comfortably |
| Qwen3.8-27B-Uncensored-draft-Q4_0.gguf | Q4_0 | 1.7 GB | 2.3 GB | ✅ Runs comfortably |
| Qwen3.8-27B-Uncensored-IQ2_M.gguf | IQ2_M | 10.6 GB | 12.2 GB | ✅ Runs comfortably |
| Qwen3.8-27B-Uncensored-IQ4_XS.gguf | IQ4_XS | 15.3 GB | 17.3 GB | ✅ Runs comfortably |
| Qwen3.8-27B-Uncensored-Q4_K_M.gguf | Q4_K_M | 16.8 GB | 19.0 GB | ✅ Runs comfortably |
| Qwen3.8-27B-Uncensored-Q5_K_M.gguf | Q5_K_M | 19.5 GB | 22.0 GB | ⚠️ Tight — reduce context |
| Qwen3.8-27B-Uncensored-Q6_K.gguf | Q6_K | 22.4 GB | 25.2 GB | ❌ Won’t fit |
| Qwen3.8-27B-Uncensored-Q8_0.gguf | Q8_0 | 29.0 GB | 32.5 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-uncensored-gguf # pin the quantization explicitly $ ollama run qwen3-8-27b-uncensored-gguf-q4_k_m
$ huggingface-cli download JonathanColetti/Qwen3.8-27B-Uncensored-GGUF-GGUF \
Qwen3.8-27B-Uncensored-Q4_K_M.gguf --local-dir .
$ llama-cli -m Qwen3.8-27B-Uncensored-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-8-27b-uncensored-gguf
{
"hf_id": "JonathanColetti/Qwen3.8-27B-Uncensored-GGUF",
"params_b": null,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 2301104,
"vram_estimates": [
{ "quant": "IQ2_M", "gb": 12.2 },
{ "quant": "IQ4_XS", "gb": 17.3 }
],
"updated_at": "2026-08-30T01:00:07Z"
}
Specifications
- Licence
- apache-2.0
- First seen on the Hub
- 2026-08-14
- Base model
- Qwen3.8-27B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-17
Compare with any text-generation model