Alpaca Llama3.1 8B by EpistemeAI

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  4bit   Autotrain compatible   En   Endpoints compatible   Gguf   Llama   Llama 3.1   Pytorch   Quantized   Region:us   Sft   Sharded   Trl   Unsloth

Alpaca Llama3.1 8B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Alpaca Llama3.1 8B Parameters and Internals

LLM NameAlpaca Llama3.1 8B
Repository ๐Ÿค—https://huggingface.co/EpistemeAI/Alpaca-Llama3.1-8B 
Model CreatorEpistemeAI
Base Model(s)  unsloth/meta-llama-3.1-8b-bnb-4bit   unsloth/meta-llama-3.1-8b-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-09-16
MaintainerEpistemeAI
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   16.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16
Alpaca Llama3.1 8B (EpistemeAI/Alpaca-Llama3.1-8B)

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Note: green Score (e.g. "73.2") means that the model is better than EpistemeAI/Alpaca-Llama3.1-8B.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803