Airoboros 7B Gpt4 1.4.1 Qlora by jondurbin

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  Autotrain compatible Dataset:jondurbin/airoboros-gp...   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Airoboros 7B Gpt4 1.4.1 Qlora Benchmarks

Airoboros 7B Gpt4 1.4.1 Qlora (jondurbin/airoboros-7b-gpt4-1.4.1-qlora)
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Airoboros 7B Gpt4 1.4.1 Qlora Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research use
Considerations:
The model should not be used for commercial purposes due to licensing constraints.
Additional Notes 
The model features examples such as multi-character conversations, coding in multiple languages, jokes, riddles, and word games.
Training Details 
Data Sources:
jondurbin/airoboros-gpt4-1.4.1, mike-ravkine/rosettacode-parsed, synthetic training data created by GPT-4
Methodology:
QLoRA fine-tuning using synthetic data created by GPT-4
Hardware Used:
FastChat
Input Output 
Input Format:
Preamble/system prompt format with user input
Accepted Modalities:
text
Output Format:
Textual responses
Performance Tips:
Use FastChat with the vicuna_v1.1 template for best results.
LLM NameAiroboros 7B Gpt4 1.4.1 Qlora
Repository ๐Ÿค—https://huggingface.co/jondurbin/airoboros-7b-gpt4-1.4.1-qlora 
Model Size7b
Required VRAM13.5 GB
Updated2025-09-23
Maintainerjondurbin
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length2048
Model Max Length2048
Transformers Version4.30.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than jondurbin/airoboros-7b-gpt4-1.4.1-qlora.

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Instruction Following and Task Automation  
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Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124