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
💻 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"])
🏆 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 |