README.md

---
license: apache-2.0
library_name: transformers
language:
- en
- fr
- zh
- de
tags:
- creative
- creative writing
- fiction writing
- plot generation
- sub-plot generation
- story generation
- scene continue
- storytelling
- fiction story
- science fiction
- romance
- all genres
- story
- writing
- vivid prose
- vivid writing
- fiction
- roleplaying
- bfloat16
- swearing
- rp
- qwen3
- horror
- finetune
- merge
- not-for-all-audiences
- uncensored
- abliterated
- llama-cpp
- gguf-my-repo
base_model: DavidAU/Qwen3-The-Josiefied-Omega-Directive-22B-uncensored-abliterated
pipeline_tag: text-generation
---

# Triangle104/Qwen3-The-Josiefied-Omega-Directive-22B-uncensored-abliterated-Q6_K-GGUF
This model was converted to GGUF format from [`DavidAU/Qwen3-The-Josiefied-Omega-Directive-22B-uncensored-abliterated`](https://huggingface.co/DavidAU/Qwen3-The-Josiefied-Omega-Directive-22B-uncensored-abliterated) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/DavidAU/Qwen3-The-Josiefied-Omega-Directive-22B-uncensored-abliterated) for more details on the model.

---
A massive 22B, 62 layer merge of the fantastic "The-Omega-Directive-Qwen3-14B-v1.1" and off the scale "Goekdeniz-Guelmez/Josiefied-Qwen3-14B-abliterated-v3" in Qwen3, with full reasoning (can be turned on or off) and the model is completely uncensored/abliterated too.

4 example generations below, and detailed usage instructions.

Requires:
-
- Chatml or Jinja template (embeded, also see notes below)
- Temp range 0 to 5. (suggest .5 to 2.5)
- Rep pen range 1 to 1.1 (suggest 1.05)
- System prompt (optional) below.
- Context is 40k / 40000.

Suggested Settings:
-
- temp .4 to 2.5
- temp .2 to .8 for specific reasoning tasks / non creative tasks.
- rep pen 1.05
- top k: 100, topp .95, minp .05
- context of 8k at least.
- Other samplers/parameters as required.

---
## Use with llama.cpp
Install llama.cpp through brew (works on Mac and Linux)

```bash
brew install llama.cpp

```
Invoke the llama.cpp server or the CLI.

### CLI:
```bash
llama-cli --hf-repo Triangle104/Qwen3-The-Josiefied-Omega-Directive-22B-uncensored-abliterated-Q6_K-GGUF --hf-file qwen3-the-josiefied-omega-directive-22b-uncensored-abliterated-q6_k.gguf -p "The meaning to life and the universe is"
```

### Server:
```bash
llama-server --hf-repo Triangle104/Qwen3-The-Josiefied-Omega-Directive-22B-uncensored-abliterated-Q6_K-GGUF --hf-file qwen3-the-josiefied-omega-directive-22b-uncensored-abliterated-q6_k.gguf -c 2048
```

Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.
```
git clone https://github.com/ggerganov/llama.cpp
```

Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
```
cd llama.cpp && LLAMA_CURL=1 make
```

Step 3: Run inference through the main binary.
```
./llama-cli --hf-repo Triangle104/Qwen3-The-Josiefied-Omega-Directive-22B-uncensored-abliterated-Q6_K-GGUF --hf-file qwen3-the-josiefied-omega-directive-22b-uncensored-abliterated-q6_k.gguf -p "The meaning to life and the universe is"
```
or 
```
./llama-server --hf-repo Triangle104/Qwen3-The-Josiefied-Omega-Directive-22B-uncensored-abliterated-Q6_K-GGUF --hf-file qwen3-the-josiefied-omega-directive-22b-uncensored-abliterated-q6_k.gguf -c 2048
```