Orpo-Llama-3.2-1B-40k

AdamLucek/Orpo-Llama-3.2-1B-40k is an ORPO fine tuned version of meta-llama/Llama-3.2-1B on 1 epoch of mlabonne/orpo-dpo-mix-40k.

Trained for 11 hours on an A100 GPU with this training script

For full model details, refer to the base model page meta-llama/Llama-3.2-1B

Evaluations

In comparsion to AdamLucek/Orpo-Llama-3.2-1B-15k using lm-evaluation-harness.

Using this Model

from transformers import AutoTokenizer
import transformers
import torch

# Load Model and Pipeline
model = "AdamLucek/Orpo-Llama-3.2-1B-40k"

pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

# Load Tokenizer
tokenizer = AutoTokenizer.from_pretrained(model)

# Generate Message
messages = [{"role": "user", "content": "What is a language model?"}]
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipeline(prompt, max_new_tokens=1024, do_sample=True, temperature=0.3, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])

Training Statistics

OpenLLM Leaderboard Metrics