L3 Ceto Epith Humanity V0.1 8B by kromcomp

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  Merged Model   Arxiv:2311.03099   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

L3 Ceto Epith Humanity V0.1 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3 Ceto Epith Humanity V0.1 8B (kromcomp/L3-Ceto-Epith-Humanity-v0.1-8B)

L3 Ceto Epith Humanity V0.1 8B Parameters and Internals

Additional Notes 
This is a merge of pre-trained language models using a YAML configuration.
Training Details 
Methodology:
Merge using the linear DARE method
Model Architecture:
Merged architecture using merge/humanity.b as base and merge/humanity.a
LLM NameL3 Ceto Epith Humanity V0.1 8B
Repository ๐Ÿค—https://huggingface.co/kromcomp/L3-Ceto-Epith-Humanity-v0.1-8B 
Merged ModelYes
Model Size8b
Required VRAM16 GB
Updated2024-12-15
Maintainerkromcomp
Model Typellama
Model Files  3.0 GB: 1-of-6   3.0 GB: 2-of-6   2.9 GB: 3-of-6   2.9 GB: 4-of-6   2.9 GB: 5-of-6   1.3 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than kromcomp/L3-Ceto-Epith-Humanity-v0.1-8B.

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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