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MixtralRPChat-ZLoss-2.4bpw-h6-exl2
LoneStriker/MixtralRPChat-ZLoss-2.4bpw-h6-exl2
MixtralRPChat-ZLoss-2.4bpw-h6-exl2 is a text generation model from LoneStriker. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- mixtral
- Access
- Public
- Created
- Dec 22, 2023
- Updated
- Dec 22, 2023
- SHA
- 0eda53f2
Try a prompt
Base models
Model card
From the Hugging Face model README
QLoRA tuned from mistralai/Mixtral-8x7B-v0.1.
My main reason for training this model was to investigate using an altered router balancing loss combined with the z-loss introduced in ST-MoE: Designing Stable and Transferable Sparse Expert Models. The result is pretty decent, I think! It does a good job of respecting character information in system prompts and performed adequately on a few simple coding tasks.
To train this I used a custom branch of Transformers that adds z-loss and reimplements the router balancing loss based on the version in MegaBlocks. The config used with my custom hacked-up branch of axolotl is available here.
Uses my favorite non-ChatML token-economic chat prompt format. Messages should be prefixed with " ***System:", " ***Query:", or " ***Response:" for system, user, and model messages respectively. No newlines are necessary but the space before the triple asterisk is mandatory.
- Task
- Text Generation
- Library
- transformers
- Type
- mixtral
- License
- cc-by-nc-4.0
- Languages
- en
- Created
- Dec 22, 2023
- Updated
- Dec 22, 2023