Edit: Please see This Thread

NeuralTrix-7B-v1

NeuralTrix-7B-v1 is a merge of the following models using LazyMergekit:

• mlabonne/OmniBeagle-7B
• flemmingmiguel/MBX-7B-v3
• AiMavenAi/AiMaven-Prometheus

It was then trained with DPO using:

• https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1

🧩 Configuration

models:
 - model: mistralai/Mistral-7B-v0.1
 # no parameters necessary for base model
 - model: mlabonne/OmniBeagle-7B
 parameters:
 density: 0.65
 weight: 0.4
 - model: flemmingmiguel/MBX-7B-v3
 parameters:
 density: 0.6
 weight: 0.35
 - model: AiMavenAi/AiMaven-Prometheus
 parameters:
 density: 0.6
 weight: 0.35
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
 int8_mask: true
dtype: float16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "CultriX/NeuralTrix-7B-v1"
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"])