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Llama 3 8B Instruct GPTQ 8 Bit by astronomer

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  Arxiv:2210.17323   8-bit   Astronomer   Autotrain compatible Base model:meta-llama/meta-lla... Base model:quantized:meta-llam...   Conversational   Dataset:wikitext   Endpoints compatible   Facebook   Finetuned   Gptq   Instruct   Llama   Llama-3   Meta   Pretrained   Quantized   Region:us   Safetensors

Llama 3 8B Instruct GPTQ 8 Bit Benchmarks

LLME Score: 0.28343
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 8B Instruct GPTQ 8 Bit Parameters and Internals

LLM NameLlama 3 8B Instruct GPTQ 8 Bit
Repository 🤗https://huggingface.co/astronomer/Llama-3-8B-Instruct-GPTQ-8-Bit 
Model NameMeta-Llama-3-8B-Instruct
Model Creatorastronomer-io
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM9.7 GB
Updated2024-09-07
Maintainerastronomer
Model Typellama
Instruction-BasedYes
Model Files  9.7 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 8B Instruct GPTQ 8 Bit (astronomer/Llama-3-8B-Instruct-GPTQ-8-Bit)

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Meta Llama 3 8B Instruct GPTQ8K / 5.7 GB7413
Meta Llama 3 8B Instruct GPTQ8K / 5.8 GB80
Meta Llama 3 8B Instruct GPTQ8K / 5.7 GB7696
...ta Llama 3 8B Instruct GPTQ 8B8K / 9.2 GB50
Note: green Score (e.g. "73.2") means that the model is better than astronomer/Llama-3-8B-Instruct-GPTQ-8-Bit.

Rank the Llama 3 8B Instruct GPTQ 8 Bit Capabilities

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Release v2024072803
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