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

Smaug 72B V0.1 by abacusai

 »  All LLMs  »  abacusai  »  Smaug 72B V0.1   URL Share it on

  3260   
  Arxiv:2402.13228   Autotrain compatible Base model:finetune:moreh/momo... Base model:moreh/momo-72b-lora...   Endpoints compatible   Llama   Lora   Region:us   Safetensors   Sharded   Tensorflow

Smaug 72B V0.1 Benchmarks

MMLU Pro: 40.26
GPQA: 9.84
MUSR: 14.42
BBH: 43.13
IFEval: 51.67 vs 88 (so35)-41.3%
ARC: 76.02 vs 96.7 (so35)-21.4%
HellaSwag: 89.27 vs 95.3 (gpt4)-6.3%
MMLU: 77.15 vs 88.3 (so35)-12.6%
TruthfulQA: 76.67 vs 59 (gpt4)29.9%
WinoGrande: 85.08 vs 87.5 (gpt4)-2.8%
GSM8K: 78.7 vs 96.4 (so35)-18.4%
MATH Lvl 5: 16.77
LLME Score: 0.37665
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Smaug 72B V0.1 Parameters and Internals

LLM NameSmaug 72B V0.1
Repository 🤗https://huggingface.co/abacusai/Smaug-72B-v0.1 
Base Model(s)  moreh/MoMo-72B-lora-1.8.7-DPO   moreh/MoMo-72B-lora-1.8.7-DPO
Model Size72b
Required VRAM144.5 GB
Updated2024-09-07
Maintainerabacusai
Model Typellama
Model Files  4.8 GB: 1-of-30   5.0 GB: 2-of-30   5.0 GB: 3-of-30   4.8 GB: 4-of-30   4.8 GB: 5-of-30   4.8 GB: 6-of-30   5.0 GB: 7-of-30   5.0 GB: 8-of-30   4.8 GB: 9-of-30   4.8 GB: 10-of-30   4.8 GB: 11-of-30   5.0 GB: 12-of-30   5.0 GB: 13-of-30   4.8 GB: 14-of-30   4.8 GB: 15-of-30   4.8 GB: 16-of-30   5.0 GB: 17-of-30   5.0 GB: 18-of-30   4.8 GB: 19-of-30   4.8 GB: 20-of-30   4.8 GB: 21-of-30   5.0 GB: 22-of-30   5.0 GB: 23-of-30   4.8 GB: 24-of-30   4.8 GB: 25-of-30   4.8 GB: 26-of-30   5.0 GB: 27-of-30   5.0 GB: 28-of-30   4.8 GB: 29-of-30   2.9 GB: 30-of-30
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassGPT2Tokenizer
Vocabulary Size152064
LoRA ModelYes
Torch Data Typebfloat16
Smaug 72B V0.1 (abacusai/Smaug-72B-v0.1)

Quantized Models of the Smaug 72B V0.1

Model
Likes
Downloads
VRAM
Smaug 72B V0.1 AWQ33341 GB
Smaug 72B V0.1 GPTQ21641 GB

Best Alternatives to Smaug 72B V0.1

Best Alternatives
Context / RAM
Downloads
Likes
Le Triomphant ECE TW332K / 79.7 GB30653
ECE TW3 JRGL V532K / 159.6 GB6420
Rhea 72B V0.532K / 144.5 GB3158131
TW3 JRGL V232K / 79.7 GB30930
JuliusCesar 72B BeyonderV.032K / 74.2 GB600
ECE TW3 JRGL V332K / 77.8 GB24440
ECE TW3 JRGL V432K / 77.8 GB24300
Caigun Model 72B KGI32K / 144.6 GB50
MoMo 72B Lora 1.8.7 DPO32K / 208.5 GB77768
MoMo 72B LoRA V1.432K / 208.5 GB65287

Rank the Smaug 72B V0.1 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? 35693 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 v2024072803
  Support LLM Explorer