Instructions to use lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF", filename="Llama-3-Groq-8B-Tool-Use-IQ4_XS.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF:Q4_K_M # Run inference directly in the terminal: llama-cli -hf lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF: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 lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF: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 lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF:Q4_K_M
Use Docker
docker model run hf.co/lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF:Q4_K_M
- Ollama
How to use lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF with Ollama:
ollama run hf.co/lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF:Q4_K_M
- Unsloth Studio new
How to use lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF 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 lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF 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 lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF to start chatting
- Docker Model Runner
How to use lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF with Docker Model Runner:
docker model run hf.co/lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF:Q4_K_M
- Lemonade
How to use lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Llama-3-Groq-8B-Tool-Use-GGUF-Q4_K_M
List all available models
lemonade list
๐ซ Community Model> Llama 3 8B Tool Use by Groq
๐พ LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord.
Model creator: Groq
Original model: Llama-3-Groq-8B-Tool-Use
GGUF quantization: provided by bartowski based on llama.cpp release b3389
Model Summary:
This is a finetune of Llama 3 8B for tool use and function calling.
It excels at, and should be used for, tasks involving API interactions, structured data manipulation, and complex tool use.
Prompt template:
Choose the Llama 3 preset in your LM Studio.
Under the hood, the model will see a prompt that's formatted like so:
<|begin_of_text|><|start_header_id|>system<|end_header_id|>
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
Technical Details
Scores 89.06% overall accuracy on the Berkeley Function Calling Leaderboard (BFCL)
Example tool use prompt:
<|start_header_id|>system<|end_header_id|>
You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. For each function call return a json object with function name and arguments within <tool_call></tool_call> XML tags as follows:
<tool_call>
{"name": <function-name>,"arguments": <args-dict>}
</tool_call>
Here are the available tools:
<tools> {
"name": "get_current_weather",
"description": "Get the current weather in a given location",
"parameters": {
"properties": {
"location": {
"description": "The city and state, e.g. San Francisco, CA",
"type": "string"
},
"unit": {
"enum": [
"celsius",
"fahrenheit"
],
"type": "string"
}
},
"required": [
"location"
],
"type": "object"
}
} </tools><|eot_id|><|start_header_id|>user<|end_header_id|>
What is the weather like in San Francisco?<|eot_id|><|start_header_id|>assistant<|end_header_id|>
<tool_call>
{"id":"call_deok","name":"get_current_weather","arguments":{"location":"San Francisco","unit":"celsius"}}
</tool_call><|eot_id|><|start_header_id|>tool<|end_header_id|>
<tool_response>
{"id":"call_deok","result":{"temperature":"72","unit":"celsius"}}
</tool_response><|eot_id|><|start_header_id|>assistant<|end_header_id|>
Special thanks
๐ Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.
๐ Special thanks to Kalomaze for his dataset (linked here) for imatrix calibration.
Disclaimers
LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.
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Model tree for lmstudio-community/Llama-3-Groq-8B-Tool-Use-GGUF
Base model
meta-llama/Meta-Llama-3-8B