This is a QuasiStarSynth-12B fine-tune, produced through P-E-W's Heretic (v1.2.0) abliteration engine with Magnitude-Preserving Orthogonal Ablation enabled.

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👁 Image

Heretication Results

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Degree of Heretication

The Heresy Index weighs the resulting model's corruption by the process (KL Divergence) and its abolition of doctrine (Refusals) for a final verdict in classification.

Note: This is an arbitrary classification inspired by Warhammer 40K, having no tangible indication towards the model's performance.

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👁 Model Image

QuasiStarSynth-12B

From a time before galaxies settled and stars knew their limits, something titanic burned.
Its light was golden, but inside darkness bloomed.
A black heart beating beneath layers of radiant fire, devouring slowly, unseen.
Neither star nor singularity, this was a monument to scale, a paradox wrapped in brilliance.

🔧 Recommended Sampling Settings:

Temperature: 0.75 to 1.25
Min P: 0.035
Context Length: Stable at 12k tokens, with possible support for extended contexts

💬 Prompt Format

Supports ChatML style messages. Example:

<|im_start|>user
Your question here.
<|im_end|>
<|im_start|>assistant

QuasiStarSynth-12B is a merge of the following models using LazyMergekit:

🧩 Configuration

merge_method: ties

base_model: yamatazen/EtherealAurora-12B-v2
models:
 - model: DreadPoor/Irix-12B-Model_Stock
 parameters:
 weight: 0.25
 density: 1.0
 - model: ohyeah1/Violet-Lyra-Gutenberg-v2
 parameters:
 weight: 0.25
 density: 1.0
 - model: redrix/patricide-12B-Unslop-Mell-v2
 parameters:
 weight: 0.25
 density: 1.0
 - model: yamatazen/EtherealAurora-12B-v3
 parameters:
 weight: 0.25
 density: 1.0

parameters:
 normalize: false
 int8_mask: false
dtype: bfloat16

layer_parameters:
 - filter: "attn"
 sources:
 - model: Irix
 weight: 0.5
 - model: Patricide
 weight: 0.3
 - model: Aurora-v3
 weight: 0.2

 - filter: "mlp"
 sources:
 - model: Violet
 weight: 0.5
 - model: Aurora-v3
 weight: 0.3
 - model: Irix
 weight: 0.2

 - filter: "embed_tokens"
 sources:
 - model: Aurora-v2
 weight: 1.0

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Marcjoni/AbyssSynth-12B-12B"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
 "text-generation",
 model=model,
 torch_dtype=torch.float16,
 device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=1, top_k=0, top_p=1)
print(outputs[0]["generated_text"])

Base model

Marcjoni/QuasiStarSynth-12B

(2)

Madness and heresy • 69 items • Updated May 7 • 13