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Llama 3 8B 16K by mattshumer

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Llama 3 8B 16K is an open-source language model by mattshumer. Features: 8b LLM, VRAM: 16.1GB, Context: 15K, LLM Explorer Score: 0.14.

Dataset:yukang/longalpaca-16k-...   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/mattshumer/Llama-3-8B-16K 

Llama 3 8B 16K Benchmarks

LLME Score: 0.14054
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 16K (mattshumer/Llama-3-8B-16K)
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Llama 3 8B 16K Parameters and Internals

Model Type 
Base
Additional Notes 
`rope_theta` was set to `1000000.0`. Trained with Axolotl.
Training Details 
Data Sources:
Yukang/LongAlpaca-16k-length
Methodology:
Extended context length to 16K and trained using the Yukang/LongAlpaca-16k-length dataset
Context Length:
16000
Training Time:
5 hours
Hardware Used:
8x A6000 GPUs
LLM NameLlama 3 8B 16K
Repository 🤗https://huggingface.co/mattshumer/Llama-3-8B-16K 
Model Size8b
Required VRAM16.1 GB
Updated2026-04-11
Maintainermattshumer
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
Model ArchitectureLlamaForCausalLM
Context Length16000
Model Max Length16000
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

Quantized Models of the Llama 3 8B 16K

Model
Likes
Downloads
VRAM
Llama 3 8B Fp1641616 GB

Best Alternatives to Llama 3 8B 16K

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Context / RAM
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...otron 8B UltraLong 4M Instruct4192K / 32.1 GB89119
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UltraLong Thinking4192K / 16.1 GB93
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB4017
Cthulhu 8B V1.41048K / 16.1 GB139
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB344055
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
...xis Bookwriter Llama3.1 8B Sft1048K / 16.1 GB124
Zero Llama 3.1 8B Beta61048K / 16.1 GB51
Note: green Score (e.g. "73.2") means that the model is better than mattshumer/Llama-3-8B-16K.

Rank the Llama 3 8B 16K Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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