coven_tiny_1.1b_32k_orpo_alpha

🤏 Coven Tiny 1.1B 32K ORPO

Coven Tiny 1.1B 32K is an improved iteration of TinyLlama-1.1B-Chat-v1.0, refined to expand processing capabilities and refine language model preferences. This model includes a significantly increased context limit of 32K tokens, allowing for more extensive data processing and understanding of complex language scenarios. In addition, Coven Tiny 1.1B 32K uses the innovative ORPO (Monolithic Preference Optimization without Reference Model) technique. ORPO simplifies the fine-tuning process by directly optimizing the odds ratio to distinguish between favorable and unfavorable generation styles, effectively improving model performance without the need for an additional preference alignment step.

Model Details

• Model name: Coven Tiny 1.1B 32K ORPO alpha
• Fine-tuned by: raidhon
• Base model: TinyLlama-1.1B-Chat-v1.0
• Parameters: 1.1B
• Context: 32K
• Language(s): Multilingual
• License: Apache2.0

Eval

💻 Usage

# Install transformers from source - only needed for versions <= v4.34
# pip install git+https://github.com/huggingface/transformers.git
# pip install accelerate

import torch
from transformers import pipeline

pipe = pipeline("text-generation", model="raidhon/coven_tiny_1.1b_32k_orpo_alpha", torch_dtype=torch.bfloat16, device_map="auto")

messages = [
    {
        "role": "system",
        "content": "You are a friendly chatbot who always responds in the style of a pirate",
    },
    {"role": "user", "content": "How many helicopters can a human eat in one sitting?"},
]
prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipe(prompt, max_new_tokens=2048, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])