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Llama 3 Soliloquy 8B V2 GPTQ by openlynn

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  4-bit   4bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2-GPTQ 

Llama 3 Soliloquy 8B V2 GPTQ Benchmarks

ARC: 58.96 vs 96.7 (so35)-39%
HellaSwag: 80.11 vs 95.3 (gpt4)-15.9%
MMLU: 64.73 vs 88.3 (so35)-26.7%
TruthfulQA: 51.61 vs 59 (gpt4)-12.5%
WinoGrande: 75.93 vs 87.5 (gpt4)-13.2%
GSM8K: 58.76 vs 96.4 (so35)-39%
LLME Score: 0.1817
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 3 Soliloquy 8B V2 GPTQ Parameters and Internals

LLM NameLlama 3 Soliloquy 8B V2 GPTQ
Repository 🤗https://huggingface.co/openlynn/Llama-3-Soliloquy-8B-v2-GPTQ 
Base Model(s)  Llama 3 Soliloquy 8B V2   openlynn/Llama-3-Soliloquy-8B-v2
Model Size8b
Required VRAM5.7 GB
Updated2024-09-03
Maintaineropenlynn
Model Typellama
Model Files  5.7 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-sa-4.0
Context Length24576
Model Max Length24576
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16
Llama 3 Soliloquy 8B V2 GPTQ (openlynn/Llama-3-Soliloquy-8B-v2-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than openlynn/Llama-3-Soliloquy-8B-v2-GPTQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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