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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 results on benchmarks such as MT-Bench and surpassing an average score of 80% on the Open LLM Leaderboard.

Key Features

  • Open-source large language model optimized for text generation
  • 72B-parameter model family (Smaug-72B)
  • Built on the Qwen-72B foundation model
  • Finetuned using the DPO-Positive (DPOP) technique
  • High benchmark performance, including MT-Bench
  • First open model to exceed 80% average on Open LLM Leaderboard

Ideal Use Cases

  • Research and academic evaluation of LLM capabilities
  • Benchmarking against other open models
  • Generating high-quality natural language text
  • Building open-source chat assistants and agents
  • Fine-tuning for downstream NLP tasks and experiments

Getting Started

  • Visit the Hugging Face model page for Smaug-72B-v0.1
  • Review the model card, README, and license details
  • Download checkpoints or use Hugging Face-hosted endpoints
  • Follow repository instructions to load model and tokenizer
  • Run included example inference scripts or minimal pipeline
  • Evaluate outputs on your validation dataset before production

Pricing

No pricing information provided. Model is open-source; hosting and inference costs depend on your infrastructure.

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
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