SaiLy Experiment V1 by deepnight-research

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SaiLy Experiment V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SaiLy Experiment V1 (deepnight-research/SaiLy_experiment_v1)

SaiLy Experiment V1 Parameters and Internals

Model Type 
conversational
Additional Notes 
This is an experimental model. We built this, but the model's functionalities are uncertain.
Supported Languages 
en (unknown)
Training Details 
Methodology:
Random things.
Context Length:
8000
Input Output 
Performance Tips:
Model can use up to 5k context perfectly without any precision loss. Majority of the loss in precision and contextual relation establishment is between 5k to 7k.
LLM NameSaiLy Experiment V1
Repository ๐Ÿค—https://huggingface.co/deepnight-research/SaiLy_experiment_v1 
Model Size69b
Required VRAM276 GB
Updated2025-02-22
Maintainerdeepnight-research
Model Typellama
Model Files  19.7 GB: 1-of-15   19.9 GB: 2-of-15   19.6 GB: 3-of-15   19.3 GB: 4-of-15   19.3 GB: 5-of-15   19.6 GB: 6-of-15   20.0 GB: 7-of-15   19.6 GB: 8-of-15   19.6 GB: 9-of-15   19.6 GB: 10-of-15   20.0 GB: 11-of-15   19.6 GB: 12-of-15   19.6 GB: 13-of-15   19.1 GB: 14-of-15   1.5 GB: 15-of-15
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than deepnight-research/SaiLy_experiment_v1.

Rank the SaiLy Experiment V1 Capabilities

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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 v20241227