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Meta Llama 3 8B GPTQ Instruct by boadisamson

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Meta Llama 3 8B GPTQ Instruct is an open-source language model by boadisamson. Features: 8b LLM, VRAM: 5.7GB, Context: 8K, Quantized, Instruction-Based, HF Score: 66.3, LLM Explorer Score: 0.14, Arc: 59.9, HellaSwag: 80, MMLU: 64.8, TruthfulQA: 51.9, WinoGrande: 75.6, GSM8K: 65.7.

  4-bit   4bit   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/boadisamson/Meta-Llama-3-8B-GPTQ-Instruct 

Meta Llama 3 8B GPTQ Instruct Benchmarks

ARC: 59.9 vs 96.7 (so35)-38.1%
HellaSwag: 80.01 vs 95.3 (gpt4)-16%
MMLU: 64.8 vs 88.3 (so35)-26.6%
TruthfulQA: 51.87 vs 59 (gpt4)-12.1%
WinoGrande: 75.61 vs 87.5 (gpt4)-13.6%
GSM8K: 65.73 vs 96.4 (so35)-31.8%
LLME Score: 0.14245
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B GPTQ Instruct (boadisamson/Meta-Llama-3-8B-GPTQ-Instruct)
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Meta Llama 3 8B GPTQ Instruct Parameters and Internals

LLM NameMeta Llama 3 8B GPTQ Instruct
Repository 🤗https://huggingface.co/boadisamson/Meta-Llama-3-8B-GPTQ-Instruct 
Base Model(s)  Meta Llama 3 13B Instruct   andrijdavid/Meta-Llama-3-13B-Instruct
Model Size8b
Required VRAM5.7 GB
Updated2026-04-12
Maintainerboadisamson
Model Typellama
Instruction-BasedYes
Model Files  5.7 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than boadisamson/Meta-Llama-3-8B-GPTQ-Instruct.

Rank the Meta Llama 3 8B GPTQ 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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