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Meta Llama 3 8B Instruct GGUF by alokabhishek

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  8b   Autotrain compatible   Conversational   Endpoints compatible   Facebook   Gguf   Instruct   Llama   Llama-3   Meta   Q4   Q4 k m   Q5 k m   Quantized   Region:us   Safetensors

Meta Llama 3 8B Instruct GGUF Benchmarks

ARC: 59.64 vs 96.7 (so35)-38.3%
HellaSwag: 78.84 vs 95.3 (gpt4)-17.3%
MMLU: 65.06 vs 88.3 (so35)-26.3%
TruthfulQA: 50.17 vs 59 (gpt4)-15%
WinoGrande: 74.98 vs 87.5 (gpt4)-14.3%
GSM8K: 57.32 vs 96.4 (so35)-40.5%
LLME Score: 0.22793
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 Instruct GGUF Parameters and Internals

LLM NameMeta Llama 3 8B Instruct GGUF
Repository 🤗https://huggingface.co/alokabhishek/Meta-Llama-3-8B-Instruct-GGUF 
Base Model(s)  ...eta Llama 3 8B Instruct FP8 KV   neuralmagic/Meta-Llama-3-8B-Instruct-FP8-KV
Model Size8b
Required VRAM4.9 GB
Updated2024-09-19
Maintaineralokabhishek
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB   5.7 GB
GGUF QuantizationYes
Quantization Typegguf|q4
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3 8B Instruct GGUF (alokabhishek/Meta-Llama-3-8B-Instruct-GGUF)

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

Rank the Meta Llama 3 8B Instruct GGUF Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Release v2024072803
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