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distilabeled-Marcoro14-7B-slerp-full GGUF

Original model: distilabeled-Marcoro14-7B-slerp-full Model creator: Argilla

This repo contains GGUF format model files for Argilla’s distilabeled-Marcoro14-7B-slerp-full.

As described on the original model card:

This model is a new DPO fine-tune of our new open dataset argilla/distilabel-intel-orca-dpo-pairs, on the mlabonne/Marcoro14-7B-slerp model. You can find more information of the "distilabeled" dataset used at this repo argilla/distilabeled-Hermes-2.5-Mistral-7B, and visit distilabel.

The difference between this model and argilla/distilabeled-Marcoro14-7B-slerp is that this model has been fine-tuned for a whole epoch instead instead of 200 steps, so it has seen the whole dataset.

What is GGUF?

GGUF is a file format for representing AI models. It is the third version of the format, introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. Converted using llama.cpp build 1879 (revision 3e5ca79)

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Original Model Evaluations:

Model AGIEval GPT4ALL TruthfulQA Bigbench Average
argilla/distilabeled-Marcoro14-7B-slerp-full 45.17 76.59 64.68 48.15 58.65
argilla/distilabeled-Marcoro14-7B-slerp 45.4 76.47 65.46 47.19 58.63
Marcoro14-7B-slerp 44.66 76.24 64.15 45.64 57.67
argilla/distilabeled-Hermes-2.5-Mistral-7B 44.64 73.35 55.96 42.21 54.04
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Inference API (serverless) has been turned off for this model.

Quantized from

Dataset used to train brittlewis12/distilabeled-Marcoro14-7B-slerp-full-GGUF