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Converted version of CodeLlama-7b to 4-bit using bitsandbytes. For more information about the model, refer to the model's page.

Impact on performance

In the following figure, we can see the impact on the performance of a set of models relative to the required RAM space. It is noticeable that the quantized models have equivalent performance while providing a significant gain in RAM usage.

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Model size

3.6B params

Tensor type

F32

BF16

Inference Examples

Text Generation

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Collection including cmarkea/CodeLlama-7b-hf-4bit

Quantized 4-bit models

Collection

Large model quantized with post-quantization performance very close to the original models, allowing it to run on reasonable infrastructure. • 8 items • Updated about 11 hours ago • 1