Brunhilde-13b

Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "arlineka/Brunhilde-13b"
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=1024, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

Alpaca Template

### Instruction:
{prompt}

### Response:

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	56.20
AI2 Reasoning Challenge (25-Shot)	60.49
HellaSwag (10-Shot)	83.49
MMLU (5-Shot)	56.18
TruthfulQA (0-shot)	52.35
Winogrande (5-shot)	75.53
GSM8k (5-shot)	9.17