Satyr-7B-Model_Stock

Satyr-7B-Model_Stock is a merge of the following models using LazyMergekit:

🧩 Configuration

models:
  - model: NeverSleep/Noromaid-7B-0.4-DPO
  - model: SanjiWatsuki/Kunoichi-DPO-v2-7B
  - model: Undi95/Toppy-M-7B
  - model: Epiculous/Fett-uccine-7B
merge_method: model_stock
base_model: SanjiWatsuki/Kunoichi-DPO-v2-7B
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "DreadPoor/Satyr-7B-Model_Stock"
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.	71.74
AI2 Reasoning Challenge (25-Shot)	68.60
HellaSwag (10-Shot)	86.96
MMLU (5-Shot)	65.02
TruthfulQA (0-shot)	63.76
Winogrande (5-shot)	80.43
GSM8k (5-shot)	65.66