Edit model card

MistralTrinity-7B-slerp-dpo

Inspired by @mlabonne's blog post Fine-tune a Mistral-7b model with Direct Preference Optimization, this model was fine-tuned with DPO (Direct Preference Optimization) on base model MistralTrinity-7B-slerp, which is a merged model for mistralai/Mistral-7B-Instruct-v0.2 and jan-hq/trinity-v1, using the mlabonne/chatml_dpo_pairs dataset.

The code to train this model is available on Google Colab and GitHub.

It required an A100 GPU for over an hour.

Check out fine-tuning run details on Weights & Biases.

Downloads last month
11
Safetensors
Model size
7.24B params
Tensor type
FP16
·
Inference API
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for wenqiglantz/MistralTrinity-7B-slerp-dpo

Finetuned
this model

Dataset used to train wenqiglantz/MistralTrinity-7B-slerp-dpo