Converted version of CodeLlama-70b 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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Safetensors

Model size

35.8B params

Tensor type

F32

BF16

Inference Examples

Text Generation

Inference API (serverless) is not available, repository is disabled.

Collection including cmarkea/CodeLlama-70b-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. • 7 items • Updated 23 days ago • 1