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TriMistral-7B-MODELSTOCK

TriMistral-7B-MODELSTOCK is a merge of the following models using LazyMergekit: Special thanks to Charles Goddard for the quick implementation!

🧩 Configuration

models:
  - model: HuggingFaceH4/zephyr-7b-beta
  - model: NousResearch/Hermes-2-Pro-Mistral-7B
  - model: instructlab/merlinite-7b-lab
merge_method: model_stock
base_model: HuggingFaceH4/zephyr-7b-beta
dtype: float16

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

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

πŸ† Evaluation

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 67.15
AI2 Reasoning Challenge (25-Shot) 64.68
HellaSwag (10-Shot) 85.64
MMLU (5-Shot) 64.21
TruthfulQA (0-shot) 57.24
Winogrande (5-shot) 78.69
GSM8k (5-shot) 52.46
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