mradermacher/Cyber-Ornith-1.5-9B-OBLITERATED-i1-GGUF overview

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base_model: DuoNeural/Cyber-Ornith-1.5-9B-OBLITERATED

datasets:

• oi-uae/cyber-security
• hotdogs/uka-cyber-dataset
• trend-cybertron/Primus-Reasoning
• Lite-Coder/LiteCoder-Terminal-SFT
• rajistics/openhands-synthetic-conversations
• emirkaanozdemr/bash_command_data_6K
• NousResearch/hermes-function-calling-v1
• open-thoughts/OpenThoughts3-1.2M

language:

• en

library_name: transformers

license: apache-2.0

mradermacher:

readme_rev: 1

quantized_by: mradermacher

tags:

• DuoNeural
• cybersecurity
• agentic
• qlora
• unsloth
• qwen3_5
• obliterated
• terminal
• cli
• reasoning
• function-calling
• tool-use

---

About

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weighted/imatrix quants of https://huggingface.co/DuoNeural/Cyber-Ornith-1.5-9B-OBLITERATED

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For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Cyber-Ornith-1.5-9B-OBLITERATED-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of [TheBloke's

READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for

more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

| Link | Type | Size/GB | Notes |

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

| GGUF | imatrix | 0.1 | imatrix file (for creating your own quants) |

| GGUF | i1-IQ1_S | 2.8 | for the desperate |

| GGUF | i1-IQ1_M | 3.0 | mostly desperate |

| GGUF | i1-IQ2_XXS | 3.2 | |

| GGUF | i1-IQ2_XS | 3.4 | |

| GGUF | i1-IQ2_S | 3.5 | |

| GGUF | i1-IQ2_M | 3.7 | |

| GGUF | i1-Q2_K_S | 3.8 | very low quality |

| GGUF | i1-Q2_K | 3.9 | IQ3_XXS probably better |

| GGUF | i1-IQ3_XXS | 4.0 | lower quality |

| GGUF | i1-IQ3_XS | 4.3 | |

| GGUF | i1-Q3_K_S | 4.4 | IQ3_XS probably better |

| GGUF | i1-IQ3_S | 4.5 | beats Q3_K* |

| GGUF | i1-IQ3_M | 4.5 | |

| GGUF | i1-Q3_K_M | 4.7 | IQ3_S probably better |

| GGUF | i1-Q3_K_L | 5.0 | IQ3_M probably better |

| GGUF | i1-IQ4_XS | 5.3 | |

| GGUF | i1-Q4_0 | 5.4 | fast, low quality |

| GGUF | i1-Q4_K_S | 5.5 | optimal size/speed/quality |

| GGUF | i1-IQ4_NL | 5.5 | prefer IQ4_XS |

| GGUF | i1-Q4_K_M | 5.7 | fast, recommended |

| GGUF | i1-Q4_1 | 5.9 | |

| GGUF | i1-Q5_K_S | 6.4 | |

| GGUF | i1-Q5_K_M | 6.6 | |

| GGUF | i1-Q6_K | 7.5 | practically like static Q6_K |

Here is a handy graph by ikawrakow comparing some lower-quality quant

types (lower is better):

!image.png

And here are Artefact2's thoughts on the matter:

https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to

questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting

me use its servers and providing upgrades to my workstation to enable

this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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