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Llama 3 Smaug 8B 4bit by mlx-community

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  4bit   Autotrain compatible   Conversational   Endpoints compatible   Llama   Mlx   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3-Smaug-8B-4bit 

Llama 3 Smaug 8B 4bit Benchmarks

ARC: 59.56 vs 96.7 (so35)-38.4%
HellaSwag: 80.04 vs 95.3 (gpt4)-16%
MMLU: 65.77 vs 88.3 (so35)-25.5%
TruthfulQA: 51.67 vs 59 (gpt4)-12.4%
WinoGrande: 74.74 vs 87.5 (gpt4)-14.6%
GSM8K: 55.88 vs 96.4 (so35)-42%
LLME Score: 0.20718
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Smaug 8B 4bit (mlx-community/Llama-3-Smaug-8B-4bit)

Llama 3 Smaug 8B 4bit Parameters and Internals

LLM NameLlama 3 Smaug 8B 4bit
Repository 🤗https://huggingface.co/mlx-community/Llama-3-Smaug-8B-4bit 
Base Model(s)  Llama 3 Smaug 8B   abacusai/Llama-3-Smaug-8B
Model Size8b
Required VRAM5 GB
Updated2024-08-09
Maintainermlx-community
Model Typellama
Model Files  5.0 GB
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length8192
Model Max Length8192
Transformers Version4.37.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Llama-3-Smaug-8B-4bit.

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Release v20241217
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