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Codestral-21B-Pruned

Text Generation

context obedient

Large Language Model

Retrieval Augmented Generation

Troy Andrew Schultz

Knowledge Graph

Personal Assistant

Inference Endpoints

text-generation-inference

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For those trying to shoe horn this large model on your machine every GB of saved memory counts when offloading to System RAM!

Here is a pruned down the 22.2 Billion parameter model by 2 junk layers to make a 21.5B that doesnt appear to lose any sense of quality.

https://huggingface.co/mistralai/Codestral-22B-v0.1

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Safetensors

Model size

21.5B params

Tensor type

FP16

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