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MoMo 72B Lora 1.8.7 DPO by moreh

 »  All LLMs  »  moreh  »  MoMo 72B Lora 1.8.7 DPO   URL Share it on

  1491   
  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: 0.28378
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)

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
Updated2025-01-12
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 EXL211024 GB
Smaug 72B V0.1 GPTQ82141 GB
Smaug 72B V0.1 AWQ91641 GB
MoMo 72B Lora 1.8.7 DPO GPTQ72941 GB

Best Alternatives to MoMo 72B Lora 1.8.7 DPO

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Smaug 72B V0.132K / 144.5 GB2702468
Le Triomphant ECE TW332K / 79.7 GB31604
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ECE TW3 JRGL V532K / 159.6 GB7990
Rhea 72B V0.532K / 144.5 GB3129134
JuliusCesar 72B BeyonderV.032K / 74.2 GB640
ECE TW3 JRGL V332K / 77.8 GB26980
ECE TW3 JRGL V432K / 77.8 GB27080
Caigun Model 72B KGI32K / 144.6 GB220
MoMo 72B LoRA V1.432K / 208.5 GB75087
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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