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Explore Llama 3.1 8B Inst by DeepAutoAI

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Explore Llama 3.1 8B Inst is an open-source language model by DeepAutoAI. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.24.

  Arxiv:1910.09700   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   En   Endpoints compatible   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/DeepAutoAI/Explore_Llama-3.1-8B-Inst 

Explore Llama 3.1 8B Inst Benchmarks

MMLU Pro: 31.02
GPQA: 4.47
MUSR: 9.64
BBH: 30.39
IFEval: 77.95 vs 88 (so35)-11.4%
MATH Lvl 5: 20.09
LLME Score: 0.23833
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Explore Llama 3.1 8B Inst (DeepAutoAI/Explore_Llama-3.1-8B-Inst)
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Explore Llama 3.1 8B Inst Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
improving existing model performance, generating task specific weights with limited compute
Limitations:
No fine-tuning or architecture generalization
Additional Notes 
The training methodology demonstrates that only learning the distribution of few layers (normalization layers) in an 8-billion-parameter model can significantly enhance the model's capabilities using a fraction of resources and without fine-tuning.
Supported Languages 
English (NLP)
Training Details 
Methodology:
We trained a diffusion model to learn the distribution of subset of llama to enable generation weights that improve the performance through a latent diffusion process. A Variational Autoencoder (VAE) was employed to encode weights into the layer dimension, followed by diffusion model training for individual sampling of layer-specific weights.
Hardware Used:
Nvidia-A100-80Gb
Model Architecture:
Latent diffusion for weights generation on llama3-1-8B architecture.
LLM NameExplore Llama 3.1 8B Inst
Repository 🤗https://huggingface.co/DeepAutoAI/Explore_Llama-3.1-8B-Inst 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-02-11
MaintainerDeepAutoAI
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than DeepAutoAI/Explore_Llama-3.1-8B-Inst.

Rank the Explore Llama 3.1 8B Inst 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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