Experimental Base V1 by TareksLab

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  Merged Model   Arxiv:2212.04089   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Experimental Base V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Experimental Base V1 (TareksLab/Experimental-Base-V1)

Experimental Base V1 Parameters and Internals

LLM NameExperimental Base V1
Repository ๐Ÿค—https://huggingface.co/TareksLab/Experimental-Base-V1 
Merged ModelYes
Model Size70b
Required VRAM210.4 GB
Updated2025-02-22
MaintainerTareksLab
Model Typellama
Instruction-BasedYes
Model Files  4.2 GB: 1-of-62   4.2 GB: 2-of-62   4.4 GB: 3-of-62   4.4 GB: 4-of-62   5.0 GB: 5-of-62   4.4 GB: 6-of-62   4.4 GB: 7-of-62   5.0 GB: 8-of-62   4.4 GB: 9-of-62   4.4 GB: 10-of-62   5.0 GB: 11-of-62   4.4 GB: 12-of-62   4.4 GB: 13-of-62   5.0 GB: 14-of-62   4.4 GB: 15-of-62   4.4 GB: 16-of-62   5.0 GB: 17-of-62   4.4 GB: 18-of-62   4.4 GB: 19-of-62   5.0 GB: 20-of-62   4.4 GB: 21-of-62   4.4 GB: 22-of-62   5.0 GB: 23-of-62   4.4 GB: 24-of-62   4.4 GB: 25-of-62   5.0 GB: 26-of-62   4.4 GB: 27-of-62   4.4 GB: 28-of-62   5.0 GB: 29-of-62   4.4 GB: 30-of-62   4.4 GB: 31-of-62   5.0 GB: 32-of-62   4.4 GB: 33-of-62   4.4 GB: 34-of-62   5.0 GB: 35-of-62   4.4 GB: 36-of-62   4.4 GB: 37-of-62   5.0 GB: 38-of-62   4.4 GB: 39-of-62   4.4 GB: 40-of-62   5.0 GB: 41-of-62   4.4 GB: 42-of-62   4.4 GB: 43-of-62   5.0 GB: 44-of-62   4.4 GB: 45-of-62   4.4 GB: 46-of-62
Model ArchitectureLlamaForCausalLM
Licensellama3.3
Context Length131072
Model Max Length131072
Transformers Version4.48.3
Vocabulary Size128256
Torch Data Typefloat32

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...a 3.1 Nemotron 70B Instruct HF128K / 141.9 GB1223352021
Note: green Score (e.g. "73.2") means that the model is better than TareksLab/Experimental-Base-V1.

Rank the Experimental Base V1 Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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