Quantização em 8-bit. Quase indistinguível do float16. Usa muitos recursos e é mais lento.
Observação
: os valores de RAM acima não pressupõem descarregamento de GPU. Se as camadas forem descarregadas para a GPU, isso reduzirá o uso de RAM e usará VRAM.
Template
### Instrução:
{prompt}
### Resposta:
Uploaded model
Developed by:
lucianosb
License:
apache-2.0
Finetuned from model :
unsloth/gemma-2-9b-bnb-4bit
This gemma2 model was trained 2x faster with
Unsloth
and Huggingface's TRL library.
Runs of lucianosb boto-9B-GGUF on huggingface.co
903
Total runs
9
24-hour runs
104
3-day runs
185
7-day runs
500
30-day runs
More Information About boto-9B-GGUF huggingface.co Model
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lucianosb boto-9B-GGUF online free url in huggingface.co:
boto-9B-GGUF is an open source model from GitHub that offers a free installation service, and any user can find boto-9B-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of boto-9B-GGUF install, users can directly use boto-9B-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.