StrangeMerges_49-7B-dare_ties
StrangeMerges_49-7B-dare_ties is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: Gille/StrangeMerges_32-7B-slerp
parameters:
weight: 0.4
density: 0.6
- model: AurelPx/Percival_01-7b-slerp
parameters:
weight: 0.4
density: 0.55
- model: louisbrulenaudet/Pearl-7B-slerp
parameters:
weight: 0.2
density: 0.5
base_model: Gille/StrangeMerges_47-7B-dare_ties
merge_method: dare_ties
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Gille/StrangeMerges_49-7B-dare_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"])
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 75.50 |
| AI2 Reasoning Challenge (25-Shot) | 72.35 |
| HellaSwag (10-Shot) | 88.30 |
| MMLU (5-Shot) | 64.31 |
| TruthfulQA (0-shot) | 74.70 |
| Winogrande (5-shot) | 83.74 |
| GSM8k (5-shot) | 69.60 |