Description

Further fine-tuned Locutusque/Hyperion-2.0-Mistral-7B at a higher learning rate. This was done to see if performance increased. Read Locutusque/Hyperion-2.0-Mistral-7B's model card for more information. Slight performance gain was observed. More checkpoints will be released in the future.

Disclaimer

This model is very compliant. It will respond to any request without refusal. If you intend to deploy this model at an enterprise level, I would recommend aligning this model using DPO.

Quants

ExLlamaV2: https://huggingface.co./bartowski/Hyperion-2.1-Mistral-7B-exl2

GGUF: https://huggingface.co./bartowski/Hyperion-2.1-Mistral-7B-GGUF

AWQ: https://huggingface.co./solidrust/Hyperion-2.1-Mistral-7B-AWQ

Downloads last month
97
Safetensors
Model size
7.24B params
Tensor type
BF16
Β·
Inference Examples
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 Locutusque/Hyperion-2.1-Mistral-7B

Merges
3 models
Quantizations
5 models

Dataset used to train Locutusque/Hyperion-2.1-Mistral-7B

Spaces using Locutusque/Hyperion-2.1-Mistral-7B 6