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Reverse Instruct by vikp

 »  All LLMs  »  vikp  »  Reverse Instruct   URL Share it on

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  Autotrain compatible   Custom code   Dataset:vikp/reverse instruct   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/vikp/reverse_instruct 

Reverse Instruct Benchmarks

LLME Score: 0.13263
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Reverse Instruct (vikp/reverse_instruct)

Reverse Instruct Parameters and Internals

Model Type 
Text Generation
Use Cases 
Primary Use Cases:
Instruction generation for text, Labeling unlabeled datasets
Limitations:
Undertrained on code
Training Details 
Data Sources:
vikp/reverse_instruct
Context Length:
32000
LLM NameReverse Instruct
Repository 🤗https://huggingface.co/vikp/reverse_instruct 
Required VRAM27 GB
Updated2024-12-22
Maintainervikp
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licensecc
Context Length32768
Model Max Length32768
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat32

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

Rank the Reverse Instruct Capabilities

🆘 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! 🌟

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 v20241217
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