---

base_model: ornith-ai/Ornith-1.5-35B-A3B

license: mit

pipeline_tag: text-generation

tags:

- gguf

- llama.cpp

- moe

- reasoning

- uncensored

---

Ornith-1.5-35B-A3B-Uncensored-GGUF

GGUF quantizations of an uncensored variant of

ornith-ai/Ornith-1.5-35B-A3B.

These GGUF files contain the text model only. Vision projector and MTP weights are not included.

Files and evaluation

| File | Size | JailbreakBench ASR | HarmBench ASR (159 standard behaviors) |

|---|---:|---:|---:|

| Ornith-1.5-35B-A3B-Uncensored-Q8_0.gguf | 36.90 GB | 93/100 (93.0%) | 154/159 (96.9%) |

| Ornith-1.5-35B-A3B-Uncensored-Q6_K.gguf | 28.51 GB | 93/100 (93.0%) | 153/159 (96.2%) |

| Ornith-1.5-35B-A3B-Uncensored-Q5_K_M.gguf | 24.73 GB | 92/100 (92.0%) | 154/159 (96.9%) |

| Ornith-1.5-35B-A3B-Uncensored-Q4_K_M.gguf | 21.17 GB | 96/100 (96.0%) | 150/159 (94.3%) |

Higher ASR indicates fewer refusals on these benchmarks. HarmBench behaviors were submitted as

direct requests. Evaluation used reasoning off, temperature 0, seed 42, a 256-token output limit,

and the HarmBench-Llama-2-13b-cls classifier. Results can vary with runtime, prompt format,

sampling, and context.

Usage

llama-server \
  --model /path/to/model.gguf \
  --host 0.0.0.0 \
  --port 8080 \
  --ctx-size 16384 \
  --reasoning on

The model supports a maximum context length of 262,144 tokens. Usable context depends on

available memory and runtime settings.

License

MIT. See LICENSE, NOTICE, and the

original model for upstream information.