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.
```
Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

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 / README.md

Naphula

Update README.md

d8880c1 verified 7 days ago

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	---
	base_model:
	- IntervitensInc/Mistral-Nemo-Base-2407-chatml
	- BrainDelay/Mistral-Nemo-BlackWidow-Agony-V1
	- DarkArtsForge/Morbid-Miasma-12B
	- DarkArtsForge/Savage-Sands-12B
	- EldritchLabs/KrakenSakura-Maelstrom-12B-v1
	- Epiculous/Violet_Twilight-v0.2
	- inflatebot/MN-12B-Mag-Mell-R1
	- LatitudeGames/Muse-12B
	- Naphula/Ancient-Awakening-12B
	- OccultAI/Qliphoth-12B-v1
	- OccultAI/Qliphoth-12B-v1.1
	- Retreatcost/Evertide-RX-12B
	- SicariusSicariiStuff/Impish_Bloodmoon_12B
	- sleepdeprived3/Reformed-Christian-Bible-Expert-v2.1-12B
	- Vortex5/Nether-Moon-12B
	- Vortex5/Wicked-Oblivion-12B
	- wave-on-discord/silly-v0.2
	- WokeAI/Tankie-DPE-12B-SFT-v2
	library_name: transformers
	datasets:
	- Naphula-Archives/qliphoth_12B_minibard_bench
	- OccultAI/illuminati_imatrix_v1
	tags:
	- mergekit
	- merge
	- mistral
	- nemo
	- qliphoth
	widget:
	- text: "Qliphoth-12B-v1.2"
	output:
	url: https://cdn-uploads.huggingface.co/production/uploads/69e46bb84df2a2575b60a527/DPIoVGOUmNBFcvsUsVNEw.png
	---

	# 👾‍ Qliphoth 12B v1.2

	<img src="https://cdn-uploads.huggingface.co/production/uploads/69e46bb84df2a2575b60a527/DPIoVGOUmNBFcvsUsVNEw.png" style="float:center; width:432px; height:592px; padding:10px;">

	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](https://github.com/cg123/mergekit).

	This model was merged using the [`qliphoth`](https://huggingface.co/OccultAI/Qliphoth-12B-v1) [custom method](https://huggingface.co/24B-Suite/Mergedonia-Suite-24B-v1/discussions/3) using mistralai/Mistral-Nemo-Instruct-2407 as a base.

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

	```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/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](https://huggingface.co/OccultAI/Qliphoth-12B-v1) had a distinct, visceral style and seemed to prefer `Mistral Tekken`, while [v1.1](https://huggingface.co/OccultAI/Qliphoth-12B-v1.1) was more clinical and detached, and did better with `ChatML` template.

	Both versions performed well and were tested with [Q0 Bench](https://huggingface.co/Naphula/Q0_Bench), where v1.1 scored about 3000 points higher. They were also tested with the new [MiniBARD](https://huggingface.co/spaces/Naphula/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.

	![BARD](https://cdn-uploads.huggingface.co/production/uploads/68e840caa318194c44ec2a04/NtsvJTHaEdvmRuaBSXHSn.png)

	### ⚙️ Configuration
	The following YAML configuration was used to produce this model:

	<details><summary>Qliphoth 12B v1 yaml</summary>

	```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"
	```

	</details>

	<details><summary>Qliphoth 12B v1.1 yaml</summary>

	```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"
	```

	</details>

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

	1. I first merged the model using
	```yaml
	base_model: B:/12B/IntervitensInc--Mistral-Nemo-Base-2407-chatml
	tokenizer:
	source: base
	chat_template: "chatml"
	```

	2. I then merged it again using
	```yaml
	base_model: B:/12B/mistralai--Mistral-Nemo-Instruct-2407
	tokenizer:
	source: union
	chat_template: auto
	```

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

	4. I then ran another merge to fix tokenizer issues
	```yaml
	merge_method: passthrough
	slices:
	- sources:
	- model: B:\12B\Stage1Base
	layer_range: [0, 40]
	tokenizer_source: B:\12B\Stage2Union
	chat_template: auto
	```

	For some reason, this process produced significantly smarter output than just using `base_model: B:/12B/mistralai--Mistral-Nemo-Instruct-2407`.

	This passthrough process using base as base_model was replicated for v1.2