StrangeMerges_37-7B-dare_ties

StrangeMerges_37-7B-dare_ties is a merge of the following models using LazyMergekit:

• liminerity/M7-7b
• Gille/StrangeMerges_30-7B-slerp
• ContextualAI/Contextual_KTO_Mistral_PairRM

🧩 Configuration

models:
  - model: Gille/StrangeMerges_34-7B-slerp
    # No parameters necessary for base model
  - model: liminerity/M7-7b
    parameters:
      density: 0.53
      weight: 0.4
  - model: Gille/StrangeMerges_30-7B-slerp
    parameters:
      density: 0.53
      weight: 0.3
  - model: ContextualAI/Contextual_KTO_Mistral_PairRM
    parameters:
      density: 0.53
      weight: 0.3
merge_method: dare_ties
base_model: Gille/StrangeMerges_34-7B-slerp
parameters:
  int8_mask: true
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Gille/StrangeMerges_37-7B-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.	70.44
AI2 Reasoning Challenge (25-Shot)	70.31
HellaSwag (10-Shot)	86.82
MMLU (5-Shot)	59.40
TruthfulQA (0-shot)	75.23
Winogrande (5-shot)	81.85
GSM8k (5-shot)	49.05