Llama3.1 Airoboros3.2 QDT 8B by nbeerbower

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational Dataset:jondurbin/airoboros-3....   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama3.1 Airoboros3.2 QDT 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3.1 Airoboros3.2 QDT 8B (nbeerbower/llama3.1-airoboros3.2-QDT-8B)

Llama3.1 Airoboros3.2 QDT 8B Parameters and Internals

Model Type 
text generation, chatbot
Additional Notes 
Finetuning based on mlabonne’s SFT notebook. Only a quarter of the data was used due to limited resources.
Training Details 
Data Sources:
jondurbin/airoboros-3.2
Data Volume:
25% data used (Quarter Data Test)
Methodology:
Finetuned using Google Colab A100 for 1 epoch
Hardware Used:
Google Colab A100
LLM NameLlama3.1 Airoboros3.2 QDT 8B
Repository πŸ€—https://huggingface.co/nbeerbower/llama3.1-airoboros3.2-QDT-8B 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B-Instruct   meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-05-14
Maintainernbeerbower
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/llama3.1-airoboros3.2-QDT-8B.

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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