Llama 3.1 8B Bonito V1 by BatsResearch

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  Arxiv:2402.18334   Dataset:batsresearch/ctga-v1   En   Llama   Region:us   Safetensors   Sharded   Synthetic datasets   Task generation   Tensorflow

Llama 3.1 8B Bonito V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B Bonito V1 (BatsResearch/Llama-3.1-8B-bonito-v1)

Llama 3.1 8B Bonito V1 Parameters and Internals

Model Type 
LlamaForCausalLM
Use Cases 
Primary Use Cases:
Generating synthetic instruction tuning datasets, Adapting large language models on users' specialized, private data
Limitations:
Model trained to generate specific task types only, Performance drop with small amounts of unannotated text
Considerations:
Users should inspect generated tasks and benchmark performance before deployment.
Additional Notes 
Bonito is an open-source model for conditional task generation.
Supported Languages 
en (English)
Training Details 
Data Sources:
BatsResearch/ctga-v1
Methodology:
We train the model using Q-LoRA by optimizing the cross entropy loss over the output tokens. The model is trained for 100,000 steps.
Context Length:
2048
Training Time:
1 day on eight A100 GPUs
Hardware Used:
A100 GPUs
Responsible Ai Considerations 
Fairness:
Our model can exhibit the biases and stereotypes of the base model, Mistral-7B.
LLM NameLlama 3.1 8B Bonito V1
Repository ๐Ÿค—https://huggingface.co/BatsResearch/Llama-3.1-8B-bonito-v1 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-05
MaintainerBatsResearch
Model Typellama
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.43.4
Tokenizer ClassPreTrainedTokenizerFast
Padding Token[PAD]
Vocabulary Size128257
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than BatsResearch/Llama-3.1-8B-bonito-v1.

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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