Llama 3 8B ProLong 64K Base by princeton-nlp

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  Arxiv:2410.02660   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:princeton-nlp/prolong-...   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 8B ProLong 64K Base Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 3 8B ProLong 64K Base Parameters and Internals

Model Type 
long-context instruction-tuned model
Use Cases 
Areas:
long-context tasks
Applications:
long-context instruction tuning, retrieval-augmented generation, in-context learning, reranking, long-document QA/summarization
Primary Use Cases:
synthetic and natural datasets tasks
Training Details 
Data Sources:
Books, Textbooks, The Stack V1, StackExchange, Tulu-v2, Wikipedia, Arxiv, OpenWebMath, FineWeb, FineWeb-EDU
Data Volume:
20B tokens for training and additional 5B tokens for the 512K variant.
Methodology:
Long-context training using variable length attention and stopping attention across document boundaries. Fine-tuned on UltraChat for 1B tokens.
Context Length:
64000
LLM NameLlama 3 8B ProLong 64K Base
Repository ๐Ÿค—https://huggingface.co/princeton-nlp/Llama-3-8B-ProLong-64k-Base 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM32.1 GB
Updated2025-06-09
Maintainerprinceton-nlp
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-7   4.8 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.6 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length65536
Model Max Length65536
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat32
Llama 3 8B ProLong 64K Base (princeton-nlp/Llama-3-8B-ProLong-64k-Base)

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Note: green Score (e.g. "73.2") means that the model is better than princeton-nlp/Llama-3-8B-ProLong-64k-Base.

Rank the Llama 3 8B ProLong 64K Base 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124