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Hacker News Comments Summarization Llama 3.1 8B Instruct by georgeck

 »  All LLMs  »  georgeck  »  Hacker News Comments Summarization Llama 3.1 8B Instruct   URL Share it on

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational Dataset:georgeck/hacker-news-d...   En   Endpoints compatible   Hacker-news   Hn-companion   Instruct   Llama   Region:us   Safetensors   Sharded   Summarization   Tensorflow
Model Card on HF 🤗: https://huggingface.co/georgeck/Hacker-News-Comments-Summarization-Llama-3.1-8B-Instruct 

Hacker News Comments Summarization Llama 3.1 8B Instruct Benchmarks

LLME Score: 0.25505
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Hacker News Comments Summarization Llama 3.1 8B Instruct (georgeck/Hacker-News-Comments-Summarization-Llama-3.1-8B-Instruct)

Hacker News Comments Summarization Llama 3.1 8B Instruct Parameters and Internals

LLM NameHacker News Comments Summarization Llama 3.1 8B Instruct
Repository 🤗https://huggingface.co/georgeck/Hacker-News-Comments-Summarization-Llama-3.1-8B-Instruct 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-04-30
Maintainergeorgeck
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
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.48.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Hacker News Comments Summarization Llama 3.1 8B Instruct 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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