models:
  - model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO-v2
    parameters:
      weight: 0.35
  - model: yam-peleg/Experiment26-7B
    parameters:
      weight: 0.65
base_model: yam-peleg/Experiment26-7B
merge_method: ties
dtype: bfloat16

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mayacinka/yam-jom-7B-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.	76.44
AI2 Reasoning Challenge (25-Shot)	73.21
HellaSwag (10-Shot)	89.05
MMLU (5-Shot)	64.77
TruthfulQA (0-shot)	77.51
Winogrande (5-shot)	84.53
GSM8k (5-shot)	69.60