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Qliphoth-12B-v1.2
OccultAI/Qliphoth-12B-v1.2
Qliphoth-12B-v1.2 is a text generation model from OccultAI. Use it when you need the model to write or continue text. It is set up for transformers.
<img src="https://cdn-uploads.huggingface.co/production/uploads/69e46bb84df2a2575b60a527/DPIoVGOUmNBFcvsUsVNEw.png" style="float:center; width:432px; height:592px; padding:10px;"
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24.5 GB on disk
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.safetensors24.5 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- mistral
- Access
- Public
- Created
- May 29, 2026
- Updated
- May 30, 2026
- SHA
- 1280dfdc
Try a prompt
Base models
- 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
Model card
From the Hugging Face model README
👾 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.
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:
<details><summary>Qliphoth 12B v1 yaml</summary>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"
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.pyto 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
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
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- Created
- May 29, 2026
- Updated
- May 30, 2026