Contributors: Nicolas Mejia Petit
Mistral 29b: A New Base Model
The objective of this model is to serve as a new fully open source base model with 29.2 billion parameters.
This model spits out jargon, and needs to be fine tuned, either with qlora, with the adapter attached to every layer, or better yet a full fine tune.
Model Creation
The model was created by stacking four models: Dolphin, Zephyr, Meta-math7b, and Speechless code, to form a single model.
Useful Resources
- Model Merging (MergeKit) (https://github.com/cg123/mergekit)
Source Models
- Dolphin2.1-mistral-7b by Eric Hartford (https://huggingface.co/ehartford/dolphin-2.1-mistral-7b)
- Zephyr-7b-beta by HuggingFace (https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
- MetaMath-Mistral-7B by meta-math (https://huggingface.co/meta-math/MetaMath-Mistral-7B)
- speechless-code-mistral-7b-v1.0 (https://huggingface.co/uukuguy/speechless-code-mistral-7b-v1.0)
- Downloads last month
- 17
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.