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Semiconductor Llama3 V2 AWQ by sitloboi2012

By sitloboi2012 · 0 downloads

Semiconductor Llama3 V2 AWQ is an open-source language model by sitloboi2012. Features: 2b LLM, VRAM: 5.8GB, Context: 8K, Quantized.

  Arxiv:1910.09700   4-bit   Autotrain compatible   Awq   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Semiconductor Llama3 V2 AWQ Parameters and Internals

LLM NameSemiconductor Llama3 V2 AWQ
Repository πŸ€—https://huggingface.co/sitloboi2012/semiconductor-llama3-v2_awq 
Model Size2b
Required VRAM5.8 GB
Updated2024-07-04
Maintainersitloboi2012
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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