MonaTrix-v2

MonaTrix-v2 is a merge of the following models using LazyMergekit:

• mlabonne/AlphaMonarch-7B
• eren23/ogno-monarch-jaskier-merge-7b
• liminerity/Omningotex-7b-slerp

🧩 Configuration

models:
  - model: CultriX/NeuralTrix-7B-v1
    # no parameters necessary for base model
  - model: mlabonne/AlphaMonarch-7B 
    parameters:
      density: 0.65
      weight: 0.4
  - model: eren23/ogno-monarch-jaskier-merge-7b
    parameters:
      density: 0.6
      weight: 0.35
  - model: liminerity/Omningotex-7b-slerp
    parameters:
      density: 0.6
      weight: 0.35
merge_method: dare_ties
base_model: CultriX/NeuralTrix-7B-v1
parameters:
  int8_mask: true
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "CultriX/MonaTrix-v2"
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=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])