Qwen3.8-27B-OBLITERATED
> Genuinely uncensored. Real answers, not safety lectures. Near-stock capability.
Params
27.8 B
Context
—
Downloads 30d
1.2 M
Likes
1,285
Download history
daily snapshots · 29 days1.3 M245 K
Aug 24Sep 2Sep 12Sep 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 |
|---|---|---|---|---|
| mmproj-model-bf16.gguf | GGUF | 0.9 GB | 5.7 GB | ✅ Runs comfortably |
| Qwen3.8-27B-OBLITERATED-Q2_K.gguf | Q2_K | 10.9 GB | 16.6 GB | ✅ Runs comfortably |
| Qwen3.8-27B-OBLITERATED-Q3_K_M.gguf | Q3_K_M | 13.5 GB | 19.5 GB | ✅ Runs comfortably |
| Qwen3.8-27B-OBLITERATED-IQ4_XS.gguf | IQ4_XS | 15.4 GB | 21.6 GB | ⚠️ Tight — reduce context |
| Qwen3.8-27B-OBLITERATED-Q4_K_M.gguf | Q4_K_M | 16.8 GB | 23.2 GB | ⚠️ Tight — reduce context |
| Qwen3.8-27B-OBLITERATED-Q5_K_M.gguf | Q5_K_M | 19.5 GB | 26.2 GB | ❌ Won’t fit |
| Qwen3.8-27B-OBLITERATED-Q6_K.gguf | Q6_K | 22.4 GB | 29.3 GB | ❌ Won’t fit |
| Qwen3.8-27B-OBLITERATED-Q8_0.gguf | Q8_0 | 29.0 GB | 36.6 GB | ❌ Won’t fit |
| model.safetensors | bf16 | 111.1 GB | 126.9 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-obliterated # pin the quantization explicitly $ ollama run qwen3-8-27b-obliterated-q4_k_m
$ huggingface-cli download OBLITERATUS/Qwen3.8-27B-OBLITERATED-GGUF \
Qwen3.8-27B-OBLITERATED-Q4_K_M.gguf --local-dir .
$ llama-cli -m Qwen3.8-27B-OBLITERATED-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/qwen3-8-27b-obliterated
{
"hf_id": "OBLITERATUS/Qwen3.8-27B-OBLITERATED",
"params_b": 27.78,
"context_length": null,
"license": { "id": "apache-2.0", "commercial": "yes" },
"downloads_30d": 1235942,
"vram_estimates": [
{ "quant": "IQ4_XS", "gb": 21.6 },
{ "quant": "Q2_K", "gb": 16.6 }
],
"updated_at": "2026-08-25T01:00:44Z"
}
Specifications
- Architecture
- Qwen3_5ForConditionalGeneration
- Parameters
- 27.8 B
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2026-08-19
- Base model
- Qwen3.8-27B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-24
Compare with any text-generation model