recoilme-gemma-2-9B-v0.3
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "recoilme/recoilme-gemma-2-9B-v0.3"
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. | 30.21 |
| IFEval (0-Shot) | 74.39 |
| BBH (3-Shot) | 42.03 |
| MATH Lvl 5 (4-Shot) | 8.76 |
| GPQA (0-shot) | 9.84 |
| MuSR (0-shot) | 12.08 |
| MMLU-PRO (5-shot) | 34.14 |