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Alignment Model Test9 by 4season

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  Autotrain compatible   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Alignment Model Test9 Benchmarks

ARC: 77.56 vs 96.7 (so35)-19.8%
HellaSwag: 90.69 vs 95.3 (gpt4)-4.8%
MMLU: 68.04 vs 88.3 (so35)-22.9%
TruthfulQA: 75.25 vs 59 (gpt4)27.5%
WinoGrande: 87.45 vs 87.5 (gpt4)-0.1%
GSM8K: 48.22 vs 96.4 (so35)-50%
LLME Score: 0.21773
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Alignment Model Test9 Parameters and Internals

LLM NameAlignment Model Test9
Repository 🤗https://huggingface.co/4season/alignment-model-test9 
Model Size21.4b
Required VRAM43 GB
Updated2024-09-16
Maintainer4season
Model Typellama
Model Files  4.8 GB: 1-of-9   5.0 GB: 2-of-9   5.0 GB: 3-of-9   4.9 GB: 4-of-9   5.0 GB: 5-of-9   5.0 GB: 6-of-9   4.9 GB: 7-of-9   5.0 GB: 8-of-9   3.4 GB: 9-of-9
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Is Biased0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size92544
Torch Data Typebfloat16
Alignment Model Test9 (4season/alignment-model-test9)

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Note: green Score (e.g. "73.2") means that the model is better than 4season/alignment-model-test9.

Rank the Alignment Model Test9 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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