Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) MoMo-72B-lora-1.8.6-DPO - GGUF - Model creator: https://huggingface.co/moreh/ - Original model: https://huggingface.co/moreh/MoMo-72B-lora-1.8.6-DPO/ | Name | Quant method | Size | | ---- | ---- | ---- | | [MoMo-72B-lora-1.8.6-DPO.Q2_K.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/blob/main/MoMo-72B-lora-1.8.6-DPO.Q2_K.gguf) | Q2_K | 25.22GB | | [MoMo-72B-lora-1.8.6-DPO.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/blob/main/MoMo-72B-lora-1.8.6-DPO.IQ3_XS.gguf) | IQ3_XS | 27.88GB | | [MoMo-72B-lora-1.8.6-DPO.IQ3_S.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/blob/main/MoMo-72B-lora-1.8.6-DPO.IQ3_S.gguf) | IQ3_S | 29.4GB | | [MoMo-72B-lora-1.8.6-DPO.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/blob/main/MoMo-72B-lora-1.8.6-DPO.Q3_K_S.gguf) | Q3_K_S | 29.4GB | | [MoMo-72B-lora-1.8.6-DPO.IQ3_M.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/blob/main/MoMo-72B-lora-1.8.6-DPO.IQ3_M.gguf) | IQ3_M | 30.98GB | | [MoMo-72B-lora-1.8.6-DPO.Q3_K.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/blob/main/MoMo-72B-lora-1.8.6-DPO.Q3_K.gguf) | Q3_K | 32.85GB | | [MoMo-72B-lora-1.8.6-DPO.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/blob/main/MoMo-72B-lora-1.8.6-DPO.Q3_K_M.gguf) | Q3_K_M | 32.85GB | | [MoMo-72B-lora-1.8.6-DPO.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/blob/main/MoMo-72B-lora-1.8.6-DPO.Q3_K_L.gguf) | Q3_K_L | 35.85GB | | [MoMo-72B-lora-1.8.6-DPO.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/blob/main/MoMo-72B-lora-1.8.6-DPO.IQ4_XS.gguf) | IQ4_XS | 36.41GB | | [MoMo-72B-lora-1.8.6-DPO.Q4_0.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q4_0 | 38.19GB | | [MoMo-72B-lora-1.8.6-DPO.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | IQ4_NL | 38.42GB | | [MoMo-72B-lora-1.8.6-DPO.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q4_K_S | 38.45GB | | [MoMo-72B-lora-1.8.6-DPO.Q4_K.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q4_K | 40.77GB | | [MoMo-72B-lora-1.8.6-DPO.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q4_K_M | 40.77GB | | [MoMo-72B-lora-1.8.6-DPO.Q4_1.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q4_1 | 42.32GB | | [MoMo-72B-lora-1.8.6-DPO.Q5_0.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q5_0 | 46.46GB | | [MoMo-72B-lora-1.8.6-DPO.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q5_K_S | 46.46GB | | [MoMo-72B-lora-1.8.6-DPO.Q5_K.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q5_K | 47.79GB | | [MoMo-72B-lora-1.8.6-DPO.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q5_K_M | 47.79GB | | [MoMo-72B-lora-1.8.6-DPO.Q5_1.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q5_1 | 50.59GB | | [MoMo-72B-lora-1.8.6-DPO.Q6_K.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q6_K | 55.24GB | | [MoMo-72B-lora-1.8.6-DPO.Q8_0.gguf](https://huggingface.co/RichardErkhov/moreh_-_MoMo-72B-lora-1.8.6-DPO-gguf/tree/main/) | Q8_0 | 71.55GB | Original model description: --- license: mit language: - en --- # **Introduction** MoMo-72B-lora-1.8.6-DPO is trained via Direct Preference Optimization([DPO](https://arxiv.org/abs/2305.18290)) from [MoMo-72B-LoRA-V1.4](https://huggingface.co/moreh/MoMo-72B-LoRA-V1.4) as its base model, with several optimizations in hyperparameters. [MoMo-72B-LoRA-V1.4](https://huggingface.co/moreh/MoMo-72B-LoRA-V1.4) is trained via Supervised Fine-Tuning (SFT) using [LoRA](https://arxiv.org/abs/2106.09685), with the QWEN-72B model as its base-model. Note that we did not exploit any form of weight merge. For leaderboard submission, the trained weight is realigned for compatibility with llama. MoMo-72B is trained using **[Moreh](https://moreh.io/)**'s [MoAI platform](https://moreh.io/product), which simplifies the training of large-scale models, and AMD's MI250 GPU. ## Details ### Used Librarys - torch - peft ### Used Datasets - [slimorca](Open-Orca/SlimOrca) - [truthy](https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1) - [orca_dpo_pairs](https://huggingface.co/datasets/Intel/orca_dpo_pairs) - No other dataset was used - No benchmark test set or the training set are used - [data contamination check](https://github.com/swj0419/detect-pretrain-code-contamination) result | Model | ARC | MMLU | TruthfulQA | GSM8K | |------------------------------|-------|-------|-------|-------| | **V1.8.6(result < 0.1, %)**| TBU |TBU | 0.73 | TBU | ### Used Environments - AMD MI250 & MoAI platform - Please visit https://moreh.io/product for more information about MoAI platform - Or, contact us directly [contact@moreh.io](mailto:contact@moreh.io) ## How to use ```python # pip install transformers==4.35.2 import torch from transformers import AutoModelForCausalLM, AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("moreh/MoMo-72B-lora-1.8.6-DPO") model = AutoModelForCausalLM.from_pretrained( "moreh/MoMo-72B-lora-1.8.6-DPO" ) ```