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Llama 3 70B Synthia V3.5 by migtissera

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Model Card on HF 🤗: https://huggingface.co/migtissera/Llama-3-70B-Synthia-v3.5 

Llama 3 70B Synthia V3.5 Benchmarks

MMLU Pro: 40.65
GPQA: 18.34
MUSR: 23.39
BBH: 49.12
IFEval: 60.76 vs 88 (so35)-31%
MATH Lvl 5: 18.96
LLME Score: 0.32919
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 70B Synthia V3.5 (migtissera/Llama-3-70B-Synthia-v3.5)

Llama 3 70B Synthia V3.5 Parameters and Internals

Model Type 
text-generation
Training Details 
Data Sources:
Synthia-v3.5 dataset and additional publicly available datasets
Methodology:
Instruction following and long-form conversations
LLM NameLlama 3 70B Synthia V3.5
Repository 🤗https://huggingface.co/migtissera/Llama-3-70B-Synthia-v3.5 
Merged ModelYes
Model Size70b
Required VRAM141.9 GB
Updated2025-02-05
Maintainermigtissera
Model Typellama
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than migtissera/Llama-3-70B-Synthia-v3.5.

Rank the Llama 3 70B Synthia V3.5 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  

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Release v20241227
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