metadata

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 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card 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)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

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:

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 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"

./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