Explore LM 7B Brainstorming by Wanfq

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  Arxiv:2310.09168   Autotrain compatible   En   Endpoints compatible   Llama   Pytorch   Region:us

Explore LM 7B Brainstorming Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Explore LM 7B Brainstorming (Wanfq/Explore-LM-7B-Brainstorming)

Explore LM 7B Brainstorming Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research
Supported Languages 
English (proficient)
Training Details 
Data Sources:
Huggingface Datasets: Explore-Instruct
Data Volume:
10k - 64k instruction-tuning data
Methodology:
fine-tuning
Context Length:
512
LLM NameExplore LM 7B Brainstorming
Repository ๐Ÿค—https://huggingface.co/Wanfq/Explore-LM-7B-Brainstorming 
Model Size7b
Required VRAM27 GB
Updated2024-12-27
MaintainerWanfq
Model Typellama
Model Files  27.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureLLaMAForCausalLM
Licensecc-by-nc-4.0
Model Max Length512
Transformers Version4.27.0.dev0
Tokenizer ClassLLaMATokenizer
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Wanfq/Explore-LM-7B-Brainstorming.

Rank the Explore LM 7B Brainstorming 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