N

Neo 1 16B

Developed by Spestly
A model based on the transformers library, possibly optimized with unsloth and trl, suitable for supervised fine-tuning (SFT) tasks
Downloads 16
Release Time : 3/23/2025

Model Overview

This model is based on the transformers architecture, potentially incorporating unsloth optimization techniques and the trl (Transformer Reinforcement Learning) framework, designed for supervised fine-tuning scenarios

Model Features

Efficient Fine-tuning
Likely utilizes unsloth technology for efficient fine-tuning, enhancing training speed
Reinforcement Learning Integration
Potentially integrates the trl framework, supporting reinforcement learning-based fine-tuning methods
Supervised Learning Optimization
Specifically optimized for supervised fine-tuning tasks

Model Capabilities

Text Generation
Supervised Fine-tuning
Model Optimization

Use Cases

Natural Language Processing
Dialogue System Fine-tuning
Can be used for supervised fine-tuning of dialogue systems
Improves response quality and consistency of dialogue systems
Text Generation Optimization
Optimizes the text generation capabilities of existing language models
Generates text more aligned with specific domains or styles
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