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MaziyarPanahi/firefunction-v2-GGUF contains GGUF format model files for fireworks-ai/firefunction-v2.

About GGUF

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.

Here is an incomplete list of clients and libraries that are known to support GGUF:

  • llama.cpp. The source project for GGUF. Offers a CLI and a server option.
  • llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
  • LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
  • text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
  • KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
  • GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
  • LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
  • Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
  • candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.
  • ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.

Special thanks

๐Ÿ™ Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

Original README

FireFunction V2: Fireworks Function Calling Model

Try on Fireworks | API Docs | Demo App | Discord


FireFunction is a state-of-the-art function calling model with a commercially viable license. View detailed info in our announcement blog. Key info and highlights:

Comparison with other models:

  • Competitive with GPT-4o at function-calling, scoring 0.81 vs 0.80 on a medley of public evaluations
  • Trained on Llama 3 and retains Llama 3โ€™s conversation and instruction-following capabilities, scoring 0.84 vs Llama 3โ€™s 0.89 on MT bench
  • Significant quality improvements over FireFunction v1 across the broad range of metrics

General info:

๐Ÿพ Successor of the FireFunction model

๐Ÿ”† Support of parallel function calling (unlike FireFunction v1) and good instruction following

๐Ÿ’ก Hosted on the Fireworks platform at < 10% of the cost of GPT 4o and 2x the speed

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