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Llama3 8B Chat by octadion

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  Arxiv:1910.09700   4bit   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/octadion/llama3-8B-chat 

Llama3 8B Chat Benchmarks

ARC: 41.55 vs 96.7 (so35)-57%
HellaSwag: 64.34 vs 95.3 (gpt4)-32.5%
MMLU: 47.63 vs 88.3 (so35)-46.1%
TruthfulQA: 51.98 vs 59 (gpt4)-11.9%
WinoGrande: 65.35 vs 87.5 (gpt4)-25.3%
GSM8K: 12.51 vs 96.4 (so35)-87%
LLME Score: 0.22162
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B Chat (octadion/llama3-8B-chat)

Llama3 8B Chat Parameters and Internals

LLM NameLlama3 8B Chat
Repository 🤗https://huggingface.co/octadion/llama3-8B-chat 
Base Model(s)  Llama 3 8B Chatml   axolotl-ai-co/llama-3-8b-chatml
Model Size8b
Required VRAM16.1 GB
Updated2025-02-17
Maintaineroctadion
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
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typefloat16

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Rank the Llama3 8B Chat 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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Release v20241227
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