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Test002 by MrRobotoAI

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:callcomply/zephyr-7... Base model:nitral-archive/herc... Base model:nousresearch/yarn-m...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow   Yarn

Test002 Benchmarks

LLME Score: 0.24137
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Test002 Parameters and Internals

LLM NameTest002
Repository 🤗https://huggingface.co/MrRobotoAI/test002 
Base Model(s)  Zephyr 7B Beta 128K   HerculeanSea 7B 128K   Yarn Mistral 7B 128K   CallComply/zephyr-7b-beta-128k   Nitral-Archive/HerculeanSea-7b-128k   NousResearch/Yarn-Mistral-7b-128k
Merged ModelYes
Model Size7b
Required VRAM29 GB
Updated2024-09-08
MaintainerMrRobotoAI
Model Typemistral
Model Files  4.9 GB: 1-of-3   1.0 GB: 1-of-15   4.9 GB: 2-of-3   1.0 GB: 2-of-15   4.7 GB: 3-of-3   1.0 GB: 3-of-15   1.0 GB: 4-of-15   0.9 GB: 5-of-15   1.0 GB: 6-of-15   1.0 GB: 7-of-15   1.0 GB: 8-of-15   0.9 GB: 9-of-15   1.0 GB: 10-of-15   1.0 GB: 11-of-15   1.0 GB: 12-of-15   0.9 GB: 13-of-15   1.0 GB: 14-of-15   0.8 GB: 15-of-15
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.42.4
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Test002 (MrRobotoAI/test002)

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Note: green Score (e.g. "73.2") means that the model is better than MrRobotoAI/test002.

Rank the Test002 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 v2024072803
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