Home › Language Models › watt-tool-70B

watt-tool-70B - AI Language Models Tool

Overview

watt-tool-70B is a 70B-parameter LLaMa-3.3-70B-Instruct fine-tuned model optimized for advanced tool usage and multi-turn dialogue. It is designed for AI workflow building, excelling in function calling and automated tool selection and reports state-of-the-art performance on the Berkeley Function-Calling Leaderboard (BFCL).

Key Features

  • Fine-tuned on LLaMa-3.3-70B-Instruct for instruction-following
  • Optimized for advanced tool usage and multi-turn dialogue
  • Strong function calling and automated tool selection
  • State-of-the-art performance on the Berkeley Function-Calling Leaderboard (BFCL)
  • Designed for AI workflow building and assistant pipelines

Ideal Use Cases

  • Building assistants that orchestrate external tools via function calls
  • Designing multi-turn conversational workflows with tool integration
  • Prototyping automated tool-selection systems
  • Testing function-calling accuracy and pipeline decision-making
  • Research on conversational tool orchestration and agent design

Getting Started

  • Open the model card on the Hugging Face model page and read documentation
  • Confirm licensing, usage terms, and inference requirements
  • Choose download or supported inference endpoint based on resources
  • Run basic instruction-following tests and evaluate function-calling behavior
  • Integrate into your workflow orchestrator and monitor resource usage

Pricing

Pricing and hosting costs are not disclosed in the provided context; check the Hugging Face model page for current options.

Limitations

  • 70B parameters require substantial GPU memory and compute for inference
  • May need engineering work for latency-sensitive or resource-constrained deployments
  • State-of-the-art BFCL result is specific to function-calling; validate on your tasks

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

Open LLM (base and chat) with strong benchmark performance; available on Hugging Face for inference and fine‑tuning.
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.