LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

MoMo 72B Lora 1.8.6 DPO by moreh

 »  All LLMs  »  moreh  »  MoMo 72B Lora 1.8.6 DPO   URL Share it on

  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-1.8.6-DPO 

MoMo 72B Lora 1.8.6 DPO Benchmarks

ARC: 70.14 vs 96.7 (so35)-27.5%
HellaSwag: 86.03 vs 95.3 (gpt4)-9.7%
MMLU: 77.4 vs 88.3 (so35)-12.3%
TruthfulQA: 69 vs 59 (gpt4)16.9%
WinoGrande: 84.37 vs 87.5 (gpt4)-3.6%
GSM8K: 76.8 vs 96.4 (so35)-20.3%
LLME Score: 0.13839
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 1.8.6 DPO (moreh/MoMo-72B-lora-1.8.6-DPO)
🌟 Advertise your project 🚀

MoMo 72B Lora 1.8.6 DPO Parameters and Internals

Model Type 
causal language model
Additional Notes 
The model is optimized with adjustments in hyperparameters for better performance. No benchmark test dataset was used during training. The trained weight is realigned for compatibility with llama.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
slimorca, Truthy, orca_dpo_pairs
Methodology:
Training was conducted using Direct Preference Optimization (DPO) and Supervised Fine-Tuning (SFT) using LoRA. No weight merge was exploited.
Hardware Used:
AMD MI250
LLM NameMoMo 72B Lora 1.8.6 DPO
Repository 🤗https://huggingface.co/moreh/MoMo-72B-lora-1.8.6-DPO 
Model Size72b
Required VRAM208.5 GB
Updated2025-10-03
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

Best Alternatives to MoMo 72B Lora 1.8.6 DPO

Best Alternatives
Context / RAM
Downloads
Likes
2 Pro Math128K / 141.9 GB90
Smaug 72B V0.132K / 144.5 GB9165468
TW3 JRGL V232K / 79.7 GB177500
Le Triomphant ECE TW332K / 79.7 GB177744
ECE TW3 JRGL V532K / 159.6 GB97421
MoMo 72B Lora 1.8.7 DPO32K / 208.5 GB235468
Rhea 72B V0.532K / 144.5 GB9756136
JuliusCesar 72B BeyonderV.032K / 74.2 GB50
Caigun Model 72B KGI32K / 144.6 GB50
MoMo 72B LoRA V1.432K / 208.5 GB172087
Note: green Score (e.g. "73.2") means that the model is better than moreh/MoMo-72B-lora-1.8.6-DPO.

Rank the MoMo 72B Lora 1.8.6 DPO Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

What open-source LLMs or SLMs are you in search of? 51536 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer