Ornith-1.5-9B-OBLITERATED
Abliterated version of Ornith-1.5-9B by OBLITERATUS. Safety alignment removed via precision abliteration surgery — the model responds to most prompts without refusal.
Params
9.7 B
Context
—
Downloads 30d
359 K
Likes
73
Download history
daily snapshots · 10 days359 K228 K
Sep 11Sep 14Sep 17Sep 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 |
|---|---|---|---|---|
| Ornith-1.5-9B-OBLITERATED-Q2_K.gguf | Q2_K | 3.9 GB | 6.3 GB | ✅ Runs comfortably |
| Ornith-1.5-9B-OBLITERATED-Q3_K_M.gguf | Q3_K_M | 4.7 GB | 7.2 GB | ✅ Runs comfortably |
| Ornith-1.5-9B-OBLITERATED-IQ4_XS.gguf | IQ4_XS | 5.4 GB | 7.8 GB | ✅ Runs comfortably |
| Ornith-1.5-9B-OBLITERATED-Q4_K_M.gguf | Q4_K_M | 5.8 GB | 8.3 GB | ✅ Runs comfortably |
| Ornith-1.5-9B-OBLITERATED-Q5_K_M.gguf | Q5_K_M | 6.6 GB | 9.3 GB | ✅ Runs comfortably |
| Ornith-1.5-9B-OBLITERATED-Q6_K.gguf | Q6_K | 7.6 GB | 10.3 GB | ✅ Runs comfortably |
| Ornith-1.5-9B-OBLITERATED-Q8_0.gguf | Q8_0 | 9.8 GB | 12.7 GB | ✅ Runs comfortably |
| Ornith-1.5-9B-OBLITERATED-bf16.gguf | GGUF | 18.4 GB | 22.2 GB | ⚠️ Tight — reduce context |
| model.safetensors | bf16 | 19.3 GB | 23.2 GB | ⚠️ Tight — reduce context |
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 ornith-1-5-9b-obliterated # pin the quantization explicitly $ ollama run ornith-1-5-9b-obliterated-q4_k_m
$ huggingface-cli download OBLITERATUS/Ornith-1.5-9B-OBLITERATED-GGUF \
Ornith-1.5-9B-OBLITERATED-Q4_K_M.gguf --local-dir .
$ llama-cli -m Ornith-1.5-9B-OBLITERATED-Q4_K_M.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/ornith-1-5-9b-obliterated
{
"hf_id": "OBLITERATUS/Ornith-1.5-9B-OBLITERATED",
"params_b": 9.65,
"context_length": null,
"license": { "id": "mit", "commercial": "yes" },
"downloads_30d": 358771,
"vram_estimates": [
{ "quant": "IQ4_XS", "gb": 7.8 },
{ "quant": "Q2_K", "gb": 6.3 }
],
"updated_at": "2026-09-11T01:00:36Z"
}
Specifications
- Architecture
- Qwen3_5ForConditionalGeneration
- Parameters
- 9.7 B
- Tensor type
- BF16
- Licence
- mit
- First seen on the Hub
- 2026-08-27
- Base model
- Ornith-1.5-9B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-11
Family
Base model and the most-downloaded derivatives in the catalog.
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