Edit model card

Xero-8B

Xero-8B is a fine-tuned language model based on google/gemma-7b-it, optimized to excel as a conversational agent. This model has been fine-tuned on the yahma/alpaca-cleaned dataset to enhance its conversational abilities and comprehension, making it an excellent choice for applications requiring advanced dialogue capabilities and understanding.

Overview

Xero-8B builds upon the strong foundation of the Gemma-7B-Instruct model, enhancing its conversational skills and ability to understand and respond to complex queries. The fine-tuning process with the yahma/alpaca-cleaned dataset ensures that Xero-8B can handle diverse and intricate conversations with ease.

Features

  • Enhanced Conversational Abilities: Improved performance in generating natural and coherent dialogues.
  • Better Understanding: Enhanced comprehension skills, allowing for more accurate and context-aware responses.
  • Versatile Dialogue Management: Capable of handling a wide range of topics and maintaining context over extended conversations.
Downloads last month
10
GGUF
Model size
8.54B params
Architecture
gemma

8-bit

16-bit

32-bit

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 XeroCodes/xero-8b-gguf

Base model

google/gemma-7b
Finetuned
google/gemma-7b-it
Adapter
(73)
this model

Dataset used to train XeroCodes/xero-8b-gguf