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RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf

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RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf
File size: 9,552 Bytes 
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Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

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self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2 - GGUF
- Model creator: https://huggingface.co/RyanYr/
- Original model: https://huggingface.co/RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q2_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q2_K.gguf) | Q2_K | 1.39GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.IQ3_XS.gguf) | IQ3_XS | 1.53GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.IQ3_S.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.IQ3_S.gguf) | IQ3_S | 1.59GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q3_K_S.gguf) | Q3_K_S | 1.59GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.IQ3_M.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.IQ3_M.gguf) | IQ3_M | 1.65GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q3_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q3_K.gguf) | Q3_K | 1.73GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q3_K_M.gguf) | Q3_K_M | 1.73GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q3_K_L.gguf) | Q3_K_L | 1.85GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.IQ4_XS.gguf) | IQ4_XS | 1.91GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q4_0.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q4_0.gguf) | Q4_0 | 1.99GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.IQ4_NL.gguf) | IQ4_NL | 2.0GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q4_K_S.gguf) | Q4_K_S | 2.0GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q4_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q4_K.gguf) | Q4_K | 2.09GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q4_K_M.gguf) | Q4_K_M | 2.09GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q4_1.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q4_1.gguf) | Q4_1 | 2.18GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q5_0.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q5_0.gguf) | Q5_0 | 2.37GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q5_K_S.gguf) | Q5_K_S | 2.37GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q5_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q5_K.gguf) | Q5_K | 2.41GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q5_K_M.gguf) | Q5_K_M | 2.41GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q5_1.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q5_1.gguf) | Q5_1 | 2.55GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q6_K.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q6_K.gguf) | Q6_K | 2.76GB |
| [self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q8_0.gguf](https://huggingface.co/RichardErkhov/RyanYr_-_self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2-gguf/blob/main/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2.Q8_0.gguf) | Q8_0 | 3.58GB |




Original model description:
---
base_model: RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter1
library_name: transformers
model_name: self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2
tags:
- generated_from_trainer
- trl
- dpo
licence: license
---

# Model Card for self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2

This model is a fine-tuned version of [RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter1](https://huggingface.co/RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter1).
It has been trained using [TRL](https://github.com/huggingface/trl).

## Quick start

```python
from transformers import pipeline

question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
generator = pipeline("text-generation", model="RyanYr/self-correct_Llama-3.2-3B-Instruct_metaMathQA_dpo_iter2", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
```

## Training procedure

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/yyr/huggingface/runs/mkbbxyq2)

This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).

### Framework versions

- TRL: 0.12.0.dev0
- Transformers: 4.45.2
- Pytorch: 2.4.0
- Datasets: 3.0.1
- Tokenizers: 0.20.1

## Citations

Cite DPO as:

```bibtex
@inproceedings{rafailov2023direct,
    title        = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}},
    author       = {Rafael Rafailov and Archit Sharma and Eric Mitchell and Christopher D. Manning and Stefano Ermon and Chelsea Finn},
    year         = 2023,
    booktitle    = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
    url          = {http://papers.nips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.html},
    editor       = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}
```

Cite TRL as:
    
```bibtex
@misc{vonwerra2022trl,
	title        = {{TRL: Transformer Reinforcement Learning}},
	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
	year         = 2020,
	journal      = {GitHub repository},
	publisher    = {GitHub},
	howpublished = {\url{https://github.com/huggingface/trl}}
}
```


Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more quants, at much higher speed, than I would otherwise be able to.