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yam-jom-7B

yam-jom-7B is a task arithmetic merge of the following models using LazyMergekit:

🧩 Configuration

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: task_arithmetic
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mayacinka/yam-jom-7B"
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. 76.60
AI2 Reasoning Challenge (25-Shot) 73.38
HellaSwag (10-Shot) 89.15
MMLU (5-Shot) 64.51
TruthfulQA (0-shot) 78.04
Winogrande (5-shot) 84.93
GSM8k (5-shot) 69.60
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