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Smaug Mixtral V0.1 by abacusai

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

  3213   
  Merged Model   Arxiv:2402.13228   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   License:apache-2.0   Mixtral   Region:us   Safetensors   Sharded   Tensorflow

Smaug Mixtral V0.1 Benchmarks

HF Avg Score: 75.49  vs  86.1  (GPT-4) -12.3%
ARC: 74.66-22.5%
HellaSwag: 87.72-8%
MMLU: 70.06-19%
TruthfulQA: 66.9513.5%
WinoGrande: 81.61-6.7%
GSM8K: 71.95-21.8%
nn.n% — How the model compares to the GPT-4.

Rank the Smaug Mixtral 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  
Smaug Mixtral V0.1 (abacusai/Smaug-Mixtral-v0.1)

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Smaug Mixtral V0.1 Parameters and Internals

LLM NameSmaug Mixtral V0.1
RepositoryOpen on 🤗 
Merged ModelYes
Model Size46.7b
Required VRAM187.7 GB
Updated2024-06-24
Maintainerabacusai
Model Typemixtral
Model Files  4.9 GB: 1-of-39   4.9 GB: 2-of-39   4.9 GB: 3-of-39   4.9 GB: 4-of-39   4.9 GB: 5-of-39   4.9 GB: 6-of-39   4.9 GB: 7-of-39   4.9 GB: 8-of-39   4.9 GB: 9-of-39   4.9 GB: 10-of-39   4.9 GB: 11-of-39   5.0 GB: 12-of-39   4.8 GB: 13-of-39   4.9 GB: 14-of-39   4.9 GB: 15-of-39   4.9 GB: 16-of-39   4.9 GB: 17-of-39   4.9 GB: 18-of-39   4.9 GB: 19-of-39   4.9 GB: 20-of-39   4.9 GB: 21-of-39   4.9 GB: 22-of-39   4.9 GB: 23-of-39   4.9 GB: 24-of-39   4.9 GB: 25-of-39   4.9 GB: 26-of-39   4.9 GB: 27-of-39   4.9 GB: 28-of-39   4.9 GB: 29-of-39   4.9 GB: 30-of-39   4.9 GB: 31-of-39   4.9 GB: 32-of-39   4.9 GB: 33-of-39   4.9 GB: 34-of-39   4.9 GB: 35-of-39   4.9 GB: 36-of-39   5.0 GB: 37-of-39   4.8 GB: 38-of-39   1.5 GB: 39-of-39
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat32

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Release v2024042801
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