Home › Language Models › Smaug-72B-v0.1

Smaug-72B-v0.1 - AI Language Models Tool

Overview

Smaug-72B-v0.1 is an open-source large language model for text generation developed by Abacus.AI. It is based on Qwen-72B and finetuned with the DPO-Positive (DPOP) technique, achieving strong benchmark results such as high MT-Bench performance and being the first open model to surpass an average 80% on the Open LLM Leaderboard.

Key Features

  • Open-source large language model for text generation
  • Finetuned with the DPO-Positive (DPOP) technique
  • Based on the Qwen-72B architecture
  • Demonstrates high performance on MT-Bench
  • First open model to exceed an average 80% on Open LLM Leaderboard
  • Model page hosted on Hugging Face

Ideal Use Cases

  • High-quality text generation for assistants and content
  • Research and benchmarking of LLM capabilities
  • Prototyping conversational agents and chat assistants
  • Reproducing and comparing leaderboard evaluations
  • Base model for further research or fine-tuning experiments

Getting Started

  • Visit the model page on Hugging Face
  • Read the model card and usage notes
  • Review licensing and hardware requirements
  • Download weights or follow provided inference examples
  • Integrate the model into your inference or evaluation pipeline

Pricing

No pricing information is provided in the supplied model metadata.

Limitations

  • Pricing information not included in provided metadata
  • Tags and detailed metadata were not supplied
  • Users should verify license and compatibility on the model page

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
Visit Official Website

Related Tools

Qwen2.5-7B

Qwen2.5-7B is a large language model designed for text generation, featuring improvements in coding, mathematics, instruction following, long text generation, and multilingual support. It supports context lengths up to 128K tokens and is intended for sophisticated NLP tasks.
DeepSeek-V3

An open-source language model from deepseek-ai offering efficient long-context inference with native sparse attention and support for multiple precisions.
Llama 3

Llama 3 is an open access large language model (LLM) released by Meta, available in various configurations (8B and 70B parameters) with capabilities for fine-tuning and integrations into platforms like Hugging Face, Google Cloud, and Amazon SageMaker.
UNfilteredAI-1B

A large-scale text generation model designed for creative and unconstrained content production without traditional filtering.
Shuttle-3

Shuttle-3 is a state-of-the-art language model designed for high-quality text generation, particularly suited for complex chat, multilingual communication, and reasoning tasks. It is fine-tuned from the Qwen-2.5-72b-Instruct model and designed to emulate high-quality prose similar to Claude 3 models.
WizardLM

WizardLM is a state-of-the-art large language model designed for complex chat, multilingual tasks, reasoning, and agent functionalities. It features an AI-powered pipeline (Auto Evol-Instruct) that optimizes instruction datasets for improved performance across various domains and leverages Arena Learning for an expanded learning pool of challenging instruction data.