Instructions to use OccultAI/Qliphoth-12B-v1.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use OccultAI/Qliphoth-12B-v1.2 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="OccultAI/Qliphoth-12B-v1.2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("OccultAI/Qliphoth-12B-v1.2")
model = AutoModelForCausalLM.from_pretrained("OccultAI/Qliphoth-12B-v1.2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

NeMo
How to use OccultAI/Qliphoth-12B-v1.2 with NeMo:
```
# tag did not correspond to a valid NeMo domain.
```
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use OccultAI/Qliphoth-12B-v1.2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "OccultAI/Qliphoth-12B-v1.2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OccultAI/Qliphoth-12B-v1.2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/OccultAI/Qliphoth-12B-v1.2

SGLang

How to use OccultAI/Qliphoth-12B-v1.2 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "OccultAI/Qliphoth-12B-v1.2" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OccultAI/Qliphoth-12B-v1.2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "OccultAI/Qliphoth-12B-v1.2" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "OccultAI/Qliphoth-12B-v1.2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use OccultAI/Qliphoth-12B-v1.2 with Docker Model Runner:
```
docker model run hf.co/OccultAI/Qliphoth-12B-v1.2
```

👾‍ Qliphoth 12B v1.2

Experimental merge of previous Qliphoth versions with other finetunes and merges.

Note: Only ChatML is supported. Previous versions seemed more stable with either ChatML or Tekken.

The model has refusals and may require jailbreaks or ablations to fully uncensor.

This is a merge of pre-trained language models created using mergekit.

This model was merged using the qliphoth custom method using mistralai/Mistral-Nemo-Instruct-2407 as a base.

Qliphoth 12B has some refusals and may require jailbreaks or ablation to fully uncensor.

architecture: MistralForCausalLM
base_model: B:/12B/IntervitensInc--Mistral-Nemo-Base-2407-chatml
models:
  - model: B:/12B/SicariusSicariiStuff--Impish_Bloodmoon_12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Vortex5--Wicked-Oblivion-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Vortex5--Nether-Moon-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Retreatcost--Evertide-RX-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Epiculous--Violet_Twilight-v0.2
    parameters:
      pinocchio: 0.0
  - model: B:/12B/inflatebot--MN-12B-Mag-Mell-R1
    parameters:
      pinocchio: 0.0
  - model: B:/12B/wave-on-discord--silly-v0.2
    parameters:
      pinocchio: 0.0
  - model: B:/12B/BrainDelay--Mistral-Nemo-BlackWidow-Agony-V1
    parameters:
      pinocchio: 0.0
  - model: B:/12B/OccultAI--Qliphoth-12B-v1
    parameters:
      pinocchio: 1.0
  - model: B:/12B/OccultAI--Qliphoth-12B-v1.1
    parameters:
      pinocchio: 0.0
  - model: B:/12B/WokeAI--Tankie-DPE-12B-SFT-v2
    parameters:
      pinocchio: 0.0
  - model: B:/12B/EldritchLabs--KrakenSakura-Maelstrom-12B-v1
    parameters:
      pinocchio: 0.0
  - model: B:/12B/DarkArtsForge--Savage-Sands-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/DarkArtsForge--Morbid-Miasma-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Naphula--Ancient-Awakening-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/sleepdeprived3--Reformed-Christian-Bible-Expert-v2.1-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/LatitudeGames--Muse-12B
    parameters:
      pinocchio: 0.0
merge_method: qliphoth
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: base
chat_template: "chatml"

Notes for v1 and 1.1

Qliphoth 12B has some refusals and may require jailbreaks or ablation to fully uncensor.

Both Mistral Tekken and ChatML chat templates are supported and may produce different results, so it's recommended to use one of those.

The model is very creative and produces highly varied, verbose output even at low temps. A karcher merge was tested using the same donors and was found to be less creative in comparison.

Version 1 vs 1.1

In my simple tests, v1 had a distinct, visceral style and seemed to prefer Mistral Tekken, while v1.1 was more clinical and detached, and did better with ChatML template.

Both versions performed well and were tested with Q0 Bench, where v1.1 scored about 3000 points higher. They were also tested with the new MiniBARD (Benchmark for Aesthetics, Roleplay & Depth). Again here, v1.1 outperformed v1. Either version is great, so test them both if you have time, although I may slightly prefer the style of v1.

⚙️ Configuration

The following YAML configuration was used to produce this model:

Qliphoth 12B v1 yaml

architecture: MistralForCausalLM
base_model: B:/12B/IntervitensInc--Mistral-Nemo-Base-2407-chatml
models:
  - model: B:/12B/SicariusSicariiStuff--Impish_Bloodmoon_12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/NeverSleep--Lumimaid-v0.2-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/KOOWEEYUS--BlackSheep-RP-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/KOOWEEYUS--BlackSheep-RP-12B # x2 influence for the apprentice
    parameters:
      pinocchio: 0.0
  - model: B:/12B/SuperbEmphasis--MN-12b-RP-Ink-RP-Longform
    parameters:
      pinocchio: 0.0
  - model: B:/12B/TheDrummer--Rocinante-X-12B-v1
    parameters:
      pinocchio: 0.0
  - model: B:/12B/WokeAI--Tankie-DPE-12b-SFT
    parameters:
      pinocchio: 0.0
  - model: B:/12B/WokeAI--Tankie-DPE-12B-SFT-v2 # pinocchio
    parameters:
      pinocchio: 1.0
  - model: B:/12B/XeyonAI--Mistral-Helcyon-Mercury-12b-v3.2
    parameters:
      pinocchio: 0.0
  - model: B:/12B/anthracite-org--magnum-v4-12b
    parameters:
      pinocchio: 0.0
  - model: B:/12B/dphn--dolphin-2.9.3-mistral-nemo-12b
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Edens-Gate--nemo-erebus-lora-2152/nemo-erebus-lora-2152
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Epiculous--Azure_Dusk-v0.2
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Epiculous--Crimson_Dawn-v0.2
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Fizzarolli--MN-12b-Rosier-v1
    parameters:
      pinocchio: 0.0
  - model: B:/12B/HumanLLMs--Human-Like-Mistral-Nemo-Instruct-2407
    parameters:
      pinocchio: 0.0
  - model: B:/12B/IIEleven11--Kalypso
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Lambent--Arsenic-Shahrazad-12B-v4.1
    parameters:
      pinocchio: 0.0
  - model: B:/12B/LatitudeGames--Wayfarer-2-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/PocketDoc--Dans-DangerousWinds-V1.1.0-12b
    parameters:
      pinocchio: 0.0
  - model: B:/12B/PocketDoc--Dans-SakuraKaze-V1.0.0-12b
    parameters:
      pinocchio: 0.0
  - model: B:/12B/PygmalionAI--Pygmalion-3-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/sleepdeprived3--Christian-Bible-Expert-v2.0-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/rAIfle--Questionable-MN-bf16
    parameters:
      pinocchio: 0.0
  - model: B:/12B/jtatman--mistral_nemo_12b_reasoning_psychology_lora/mistral_nemo_12b_reasoning_psychology_lora
    parameters:
      pinocchio: 0.0
  - model: B:/12B/LatitudeGames--Muse-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/allura-org--Tlacuilo-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/ChaoticNeutrals--Mag-Mell-Reasoner-12B
    parameters:
      pinocchio: 0.0
  - model: A:/LLM/.cache/13B/taozi555--MN-12B-Mag-Mell-R1-KTO
    parameters:
      pinocchio: 0.0
  - model: A:/LLM/.cache/13B/UniLLMer--GslayerKaa
    parameters:
      pinocchio: 0.0
merge_method: qliphoth
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: base
chat_template: "chatml"

Qliphoth 12B v1.1 yaml

architecture: MistralForCausalLM
base_model: B:/12B/IntervitensInc--Mistral-Nemo-Base-2407-chatml
models:
  - model: B:/12B/SicariusSicariiStuff--Impish_Bloodmoon_12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/NeverSleep--Lumimaid-v0.2-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/KOOWEEYUS--BlackSheep-RP-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/nothingiisreal--MN-12B-Celeste-V1.9
    parameters:
      pinocchio: 0.0
  - model: B:/12B/SuperbEmphasis--MN-12b-RP-Ink-RP-Longform
    parameters:
      pinocchio: 0.0
  - model: B:/12B/TheDrummer--Rocinante-X-12B-v1
    parameters:
      pinocchio: 0.0
  - model: B:/12B/WokeAI--Tankie-DPE-12b-SFT
    parameters:
      pinocchio: 0.0
  - model: B:/12B/WokeAI--Tankie-DPE-12B-SFT-v2 # pinocchio
    parameters:
      pinocchio: 1.0
  - model: B:/12B/XeyonAI--Mistral-Helcyon-Mercury-12b-v3.2
    parameters:
      pinocchio: 0.0
  - model: B:/12B/anthracite-org--magnum-v4-12b
    parameters:
      pinocchio: 0.0
  - model: B:/12B/dphn--dolphin-2.9.3-mistral-nemo-12b
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Edens-Gate--nemo-erebus-lora-2152/nemo-erebus-lora-2152
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Epiculous--Azure_Dusk-v0.2
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Epiculous--Crimson_Dawn-v0.2
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Fizzarolli--MN-12b-Rosier-v1
    parameters:
      pinocchio: 0.0
  - model: B:/12B/HumanLLMs--Human-Like-Mistral-Nemo-Instruct-2407
    parameters:
      pinocchio: 0.0
  - model: B:/12B/IIEleven11--Kalypso
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Lambent--Arsenic-Shahrazad-12B-v4.3.2
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Lambent--Arsenic-Shahrazad-12B-v4.1
    parameters:
      pinocchio: 0.0
  - model: B:/12B/LatitudeGames--Wayfarer-2-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/PocketDoc--Dans-DangerousWinds-V1.1.0-12b
    parameters:
      pinocchio: 0.0
  - model: B:/12B/PocketDoc--Dans-SakuraKaze-V1.0.0-12b
    parameters:
      pinocchio: 0.0
  - model: B:/12B/PygmalionAI--Pygmalion-3-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/sleepdeprived3--Christian-Bible-Expert-v2.0-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/rAIfle--Questionable-MN-bf16
    parameters:
      pinocchio: 0.0
  - model: B:/12B/jtatman--mistral_nemo_12b_reasoning_psychology_lora/mistral_nemo_12b_reasoning_psychology_lora
    parameters:
      pinocchio: 0.0
  - model: B:/12B/LatitudeGames--Muse-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/allura-org--Tlacuilo-12B
    parameters:
      pinocchio: 0.0
  - model: B:/12B/ChaoticNeutrals--Mag-Mell-Reasoner-12B
    parameters:
      pinocchio: 0.0
  - model: A:/LLM/.cache/13B/taozi555--MN-12B-Mag-Mell-R1-KTO
    parameters:
      pinocchio: 0.0
  - model: A:/LLM/.cache/13B/UniLLMer--GslayerKaa
    parameters:
      pinocchio: 0.0
  - model: B:/12B/Retreatcost--Evertide-RX-12B
    parameters:
      pinocchio: 0.0
merge_method: qliphoth
dtype: float32
out_dtype: bfloat16
tokenizer:
  source: base
chat_template: "chatml"

To fix tokenizer issues while retaining enhanced intelligence of the chatml base:

I first merged the model using

base_model: B:/12B/IntervitensInc--Mistral-Nemo-Base-2407-chatml
tokenizer:
  source: base
chat_template: "chatml"

I then merged it again using

base_model: B:/12B/mistralai--Mistral-Nemo-Instruct-2407
tokenizer:
  source: union
chat_template: auto

I then had to modify mergekit/tokenizer/embed.py to allow for the passthrough merge

token_configs[token] = TokenEmbeddingConfig(source=ZeroEmbedding(kind="zero"))

    ) -> torch.Tensor:
        if isinstance(cfg.source, ZeroEmbedding):  
            first_tensor = next(iter(tensors.values()))  
            embed = torch.zeros(  
                first_tensor.shape[1],   
                dtype=first_tensor.dtype,   
                device=first_tensor.device  
            )

I then ran another merge to fix tokenizer issues

merge_method: passthrough  
slices:  
  - sources:  
      - model: B:\12B\Stage1Base
        layer_range: [0, 40]  
tokenizer_source: B:\12B\Stage2Union
chat_template: auto