Llama 3 8B Self Instruct 100K by Magpie-Align

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  Axolotl Base model:finetune:meta-llama... Base model:meta-llama/meta-lla... Dataset:magpie-align/llama-3-8...   Generated from trainer   Instruct   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 8B Self Instruct 100K 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 8B Self Instruct 100K (Magpie-Align/Llama-3-8B-Self-Instruct-100K)

Llama 3 8B Self Instruct 100K Parameters and Internals

Model Type 
LlamaForCausalLM
Training Details 
Data Sources:
Magpie-Align/Llama-3-8B-Self-Instruct-100K
Context Length:
8192
Hardware Used:
multi-GPU: 4 devices
LLM NameLlama 3 8B Self Instruct 100K
Repository ๐Ÿค—https://huggingface.co/Magpie-Align/Llama-3-8B-Self-Instruct-100K 
Base Model(s)  Meta Llama 3 8B   meta-llama/Meta-Llama-3-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-01-22
MaintainerMagpie-Align
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   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Magpie-Align/Llama-3-8B-Self-Instruct-100K.

Rank the Llama 3 8B Self Instruct 100K 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227