StrangeMerges_18-7B-dare_ties
StrangeMerges_18-7B-dare_ties is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: Gille/StrangeMerges_17-7B-dare_ties
# no parameters necessary for base model
- model: Gille/StrangeMerges_17-7B-dare_ties
parameters:
density: 0.5
weight: 0.4
- model: teknium/OpenHermes-2.5-Mistral-7B
parameters:
density: 0.5
weight: 0.6
merge_method: dare_ties
base_model: Gille/StrangeMerges_17-7B-dare_ties
parameters:
normalize: true
dtype: float16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Gille/StrangeMerges_18-7B-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. | 67.06 |
| AI2 Reasoning Challenge (25-Shot) | 64.08 |
| HellaSwag (10-Shot) | 84.37 |
| MMLU (5-Shot) | 63.65 |
| TruthfulQA (0-shot) | 52.17 |
| Winogrande (5-shot) | 77.27 |
| GSM8k (5-shot) | 60.80 |