Model Name: Llama 3 orca_mini_v6_8b_dpo
Llama 3 orca_mini_v6_8b_dpo is trained with various DPO Datasets
![](https://huggingface.co/pankajmathur/orca_mini_v5_8b/resolve/main/orca_minis_small.jpeg)
NOTICE
By providing proper credit and attribution, you are granted permission to use this model as a foundational base for further Full fine tuning, DPO, PPO or ORPO tuning and any kind of Merges. I actively encourage users to customize and enhance the model according to their specific needs, as this version is designed to be a comprehensive general model. Dive in and innovate!
Evaluation
Coming Soon..
Example Usage
Here is the ChatML prompt format
<|im_start|>system
You are Orca Mini, a helpful AI assistant.<|im_end|>
<|im_start|>user
Hello Orca Mini, what can you do for me?<|im_end|>
<|im_start|>assistant
Below shows a code example on how to use this model
from transformers import AutoModel, AutoTokenizer
model_slug = "pankajmathur/orca_mini_v6_8b_dpo"
model = AutoModel.from_pretrained(model_slug)
tokenizer = AutoTokenizer.from_pretrained(model_slug)
messages = [
{"role": "system", "content": "You are Orca Mini, a helpful AI assistant."},
{"role": "user", "content": "Hello Orca Mini, what can you do for me?"}
]
gen_input = tokenizer.apply_chat_template(messages, return_tensors="pt")
model.generate(**gen_input)
This model is governed by META LLAMA 3 COMMUNITY LICENSE AGREEMENT
Quants
GGUF : Coming Soon
AWQ: Coming Soon
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 20.29 |
IFEval (0-Shot) | 38.83 |
BBH (3-Shot) | 32.48 |
MATH Lvl 5 (4-Shot) | 5.51 |
GPQA (0-shot) | 6.82 |
MuSR (0-shot) | 9.26 |
MMLU-PRO (5-shot) | 28.85 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard38.830
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.480
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard5.510
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.820
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.260
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard28.850