Instruction Synthesizer by instruction-pretrain

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  Arxiv:2309.09530   Arxiv:2406.14491   Autotrain compatible Dataset:instruction-pretrain/f...   En   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Instruction Synthesizer Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Instruction Synthesizer (instruction-pretrain/instruction-synthesizer)

Instruction Synthesizer Parameters and Internals

Model Type 
Supervised Multitask Learner
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Pre-training, Domain-adaptive continual pre-training
Additional Notes 
The model synthesizes instruction-response pairs efficiently for pre-training.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
instruction-pretrain/ft-instruction-synthesizer-collection
Data Volume:
200M instruction-response pairs
Methodology:
Context-Based Instruction Synthesizer
Hardware Used:
A100-80GB GPU
Input Output 
Input Format:
Raw text
Accepted Modalities:
Text
Output Format:
Instruction-response pairs
Release Notes 
Version:
2024/7/15
Date:
2024-07-15
Notes:
Scaled up pre-trained tokens from 100B to 250B, instruction-response pairs reached 500M.
LLM NameInstruction Synthesizer
Repository ๐Ÿค—https://huggingface.co/instruction-pretrain/instruction-synthesizer 
Model Size7.2b
Required VRAM28.9 GB
Updated2024-12-14
Maintainerinstruction-pretrain
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than instruction-pretrain/instruction-synthesizer.

Rank the Instruction Synthesizer 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 v20241124