TriMistral-7B-TIES

TriMistral-7B-TIES is a merge of the following models using LazyMergekit:

• NousResearch/Hermes-2-Pro-Mistral-7B
• instructlab/merlinite-7b-lab Special thanks to Charles Goddard for the quick implementation!

🧩 Configuration

models:
  - model: HuggingFaceH4/zephyr-7b-beta
    # no parameters necessary for base model
  - model: NousResearch/Hermes-2-Pro-Mistral-7B
    parameters:
      density: 0.5
      weight: 0.5
  - model: instructlab/merlinite-7b-lab
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: HuggingFaceH4/zephyr-7b-beta
parameters:
  normalize: true
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Muhammad2003/TriMistral-7B-TIES"
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"])

🏆 Evaluation

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	67.68
AI2 Reasoning Challenge (25-Shot)	64.85
HellaSwag (10-Shot)	83.80
MMLU (5-Shot)	63.45
TruthfulQA (0-shot)	56.47
Winogrande (5-shot)	76.64
GSM8k (5-shot)	60.88