Instructions to use unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424", dtype="auto")

llama-cpp-python

How to use unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424",
	filename="tinyllama-function-call-GGFU-010524.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424
# Run inference directly in the terminal:
llama-cli -hf unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424
# Run inference directly in the terminal:
llama-cli -hf unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424

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/tinyllama-function-call-Q4_K_M_GGFU-250424
# Run inference directly in the terminal:
./llama-cli -hf unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424

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/tinyllama-function-call-Q4_K_M_GGFU-250424
# Run inference directly in the terminal:
./build/bin/llama-cli -hf unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424

Use Docker

docker model run hf.co/unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424

LM Studio
Jan
Ollama
How to use unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 with Ollama:
```
ollama run hf.co/unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424
```

Unsloth Studio new

How to use unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 to start chatting

Docker Model Runner
How to use unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 with Docker Model Runner:
```
docker model run hf.co/unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424
```

Lemonade

How to use unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull unclecode/tinyllama-function-call-Q4_K_M_GGFU-250424

Run and chat with the model

lemonade run user.tinyllama-function-call-Q4_K_M_GGFU-250424-{{QUANT_TAG}}

List all available models

lemonade list

unclecode commited on Apr 25, 2024

Commit

ad707e6

verified ·

1 Parent(s): d9a1dd4

Update README.md

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README.md +63 -3

README.md CHANGED Viewed

@@ -7,15 +7,75 @@ tags:
 - transformers
 - unsloth
 - llama
-- gguf
-base_model: unsloth/tinyllama-chat-bnb-4bit
 ---
 # Uploaded  model
 - **Developed by:** unclecode
 - **License:** apache-2.0
-- **Finetuned from model :** unsloth/tinyllama-chat-bnb-4bit
 This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

 - transformers
 - unsloth
 - llama
+- trl
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
 ---
+---
+tags:
+- function calling
+- tool use
+- llama
+- llama3
+- tinyllama
+- instruct-tuned
+- 4-bit quantization
+- ggfu
+license: apache-2.0
+---
+# 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: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](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.