Transformers
GGUF
English
llama
text-generation-inference
unsloth
trl
function calling
tool use
llama3
tinyllama
instruct-tuned
4-bit quantization
ggfu
conversational
Instructions to use unclecode/llama3-function-call-Q4_K_M_GGFU-240424 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unclecode/llama3-function-call-Q4_K_M_GGFU-240424 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("unclecode/llama3-function-call-Q4_K_M_GGFU-240424", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use unclecode/llama3-function-call-Q4_K_M_GGFU-240424 with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M # Run inference directly in the terminal: llama cli -hf unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M # Run inference directly in the terminal: llama cli -hf unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M
Use Docker
docker model run hf.co/unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use unclecode/llama3-function-call-Q4_K_M_GGFU-240424 with Ollama:
ollama run hf.co/unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use unclecode/llama3-function-call-Q4_K_M_GGFU-240424 with Docker Model Runner:
docker model run hf.co/unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M
- Lemonade
How to use unclecode/llama3-function-call-Q4_K_M_GGFU-240424 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull unclecode/llama3-function-call-Q4_K_M_GGFU-240424:Q4_K_M
Run and chat with the model
lemonade run user.llama3-function-call-Q4_K_M_GGFU-240424-Q4_K_M
List all available models
lemonade list
- Atomic Chat
File size: 3,095 Bytes
096b165 eb82804 b5d0e6d eb82804 b5d0e6d eb82804 096b165 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 | ---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- function calling
- tool use
- llama
- llama3
- tinyllama
- instruct-tuned
- 4-bit quantization
- ggfu
base_model: unsloth/llama-3-8b-Instruct-bnb-4bit
---
# Function Calling and Tool Use LLaMA Models
This repository contains two main versions of LLaMA models fine-tuned for function calling and tool use capabilities:
1. Fine-tuned version of the `LLama3-8b-instruct` model
2. `tinyllama` - a smaller model version
For each version, the following variants are available:
- 16-bit quantized model
- 4-bit quantized model
- GGFU format for use with llama.cpp
## Dataset
The models were fine-tuned using a modified version of the `ilacai/glaive-function-calling-v2-sharegpt` dataset, which can be found at [unclecode/glaive-function-calling-llama3](https://huggingface.co/datasets/unclecode/glaive-function-calling-llama3).
## Usage
To learn how to use these models, refer to the Colab notebook: [](https://tinyurl.com/ucfllm)
This is the first version of the models, and work is in progress to further train them with multi-tool detection and native tool binding support.
## Library and Tools Support
A library is being developed to manage tools and add tool support for major LLMs, regardless of their built-in capabilities. You can find examples and contribute to the library at the following repository:
[https://github.com/unclecode/fllm](https://github.com/unclecode/fllm)
Please open an issue in the repository for any bugs or collaboration requests.
## Other Models
Here are links to other related models:
- [unclecode/llama3-function-call-lora-adapter-240424](https://huggingface.co/unclecode/llama3-function-call-lora-adapter-240424)
- [unclecode/llama3-function-call-16bit-240424](https://huggingface.co/unclecode/llama3-function-call-16bit-240424)
- [unclecode/llama3-function-call-4bit-240424](https://huggingface.co/unclecode/llama3-function-call-4bit-240424)
- [unclecode/llama3-function-call-Q4_K_M_GGFU-240424](https://huggingface.co/unclecode/llama3-function-call-Q4_K_M_GGFU-240424)
- [unclecode/tinyllama-function-call-lora-adapter-250424](https://huggingface.co/unclecode/tinyllama-function-call-lora-adapter-250424)
- [unclecode/tinyllama-function-call-16bit-250424](https://huggingface.co/unclecode/tinyllama-function-call-16bit-250424)
- [unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424](https://huggingface.co/unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424)
## License
These models are released under the Apache 2.0 license.
# Uploaded model
- **Developed by:** unclecode
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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