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MoMo 72B Lora 1.8.7 DPO by moreh

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MoMo 72B Lora 1.8.7 DPO is an open-source language model by moreh. Features: 72b LLM, VRAM: 208.5GB, Context: 32K, License: mit, HF Score: 78.6, LLM Explorer Score: 0.23, Arc: 70.8, HellaSwag: 86, MMLU: 77.1, TruthfulQA: 74.7, WinoGrande: 84.1, GSM8K: 78.6.

  Arxiv:2106.09685   Arxiv:2305.18290   Autotrain compatible   En   Endpoints compatible   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/moreh/MoMo-72B-lora-1.8.7-DPO 

MoMo 72B Lora 1.8.7 DPO Benchmarks

MMLU Pro: 40.26
GPQA: 9.84
MUSR: 14.42
BBH: 43.13
IFEval: 51.67 vs 88 (so35)-41.3%
ARC: 70.82 vs 96.7 (so35)-26.8%
HellaSwag: 85.96 vs 95.3 (gpt4)-9.8%
MMLU: 77.13 vs 88.3 (so35)-12.7%
TruthfulQA: 74.71 vs 59 (gpt4)26.6%
WinoGrande: 84.06 vs 87.5 (gpt4)-3.9%
GSM8K: 78.62 vs 96.4 (so35)-18.4%
MATH Lvl 5: 18.13
LLME Score: 0.22672
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MoMo 72B Lora 1.8.7 DPO (moreh/MoMo-72B-lora-1.8.7-DPO)
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MoMo 72B Lora 1.8.7 DPO Parameters and Internals

Additional Notes 
For more information on the MoAI platform and its capabilities, refer to https://moreh.io/product.
Supported Languages 
languages (en), proficiency ()
Training Details 
Data Sources:
Open-Orca/SlimOrca, https://huggingface.co/datasets/jondurbin/truthy-dpo-v0.1, https://huggingface.co/datasets/Intel/orca_dpo_pairs
Methodology:
Direct Preference Optimization (DPO), Supervised Fine-Tuning (SFT) using LoRA.
Hardware Used:
AMD MI250
Release Notes 
Version:
V1.8.7
Date:
24/04/05
Notes:
Model was trained with optimizations in hyperparameters without exploiting weight merge. Adjustments for compatibility with Llama for leaderboard submission.
LLM NameMoMo 72B Lora 1.8.7 DPO
Repository 🤗https://huggingface.co/moreh/MoMo-72B-lora-1.8.7-DPO 
Model Size72b
Required VRAM208.5 GB
Updated2025-09-23
Maintainermoreh
Model Typellama
Model Files  5.0 GB: 1-of-63   4.6 GB: 2-of-63   4.3 GB: 3-of-63   4.3 GB: 4-of-63   4.8 GB: 5-of-63   4.8 GB: 6-of-63   4.3 GB: 7-of-63   4.8 GB: 8-of-63   4.8 GB: 9-of-63   4.3 GB: 10-of-63   4.8 GB: 11-of-63   4.8 GB: 12-of-63   4.3 GB: 13-of-63   4.8 GB: 14-of-63   4.8 GB: 15-of-63   4.3 GB: 16-of-63   4.8 GB: 17-of-63   4.8 GB: 18-of-63   4.3 GB: 19-of-63   4.8 GB: 20-of-63   4.8 GB: 21-of-63   4.3 GB: 22-of-63   4.8 GB: 23-of-63   4.8 GB: 24-of-63   4.3 GB: 25-of-63   4.8 GB: 26-of-63   4.8 GB: 27-of-63   4.3 GB: 28-of-63   4.8 GB: 29-of-63   4.8 GB: 30-of-63   4.3 GB: 31-of-63   4.8 GB: 32-of-63   4.8 GB: 33-of-63   4.3 GB: 34-of-63   4.8 GB: 35-of-63   4.8 GB: 36-of-63   4.3 GB: 37-of-63   4.8 GB: 38-of-63   4.8 GB: 39-of-63   4.3 GB: 40-of-63   4.8 GB: 41-of-63   4.8 GB: 42-of-63   4.3 GB: 43-of-63   4.8 GB: 44-of-63   4.8 GB: 45-of-63
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Vocabulary Size152064
LoRA ModelYes
Torch Data Typefloat32

Quantized Models of the MoMo 72B Lora 1.8.7 DPO

Model
Likes
Downloads
VRAM
Smaug 72B V0.1 2.4bpw H6 EXL21324 GB
Smaug 72B V0.1 AWQ9541 GB
Smaug 72B V0.1 GPTQ8641 GB
MoMo 72B Lora 1.8.7 DPO GPTQ7741 GB

Best Alternatives to MoMo 72B Lora 1.8.7 DPO

Best Alternatives
Context / RAM
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2 Pro Math128K / 141.9 GB90
Smaug 72B V0.132K / 144.5 GB7991467
TW3 JRGL V232K / 79.7 GB161170
Le Triomphant ECE TW332K / 79.7 GB164334
ECE TW3 JRGL V532K / 159.6 GB80771
Rhea 72B V0.532K / 144.5 GB8203135
JuliusCesar 72B BeyonderV.032K / 74.2 GB990
Caigun Model 72B KGI32K / 144.6 GB50
Rhea 125 V0.532K / 249 GB61
MoMo 72B LoRA V1.432K / 208.5 GB61587
Note: green Score (e.g. "73.2") means that the model is better than moreh/MoMo-72B-lora-1.8.7-DPO.

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