Llama-3-Groq-70B-Tool-Use GGUF

A quantized version of Groq's Llama 3 70B model optimized for tool use and function calling. Available in multiple GGUF quantization formats to support various hardware configurations, from high-end GPUs to resource-constrained systems.

Model Details

Quantization Options

Multiple quantization levels available to balance quality vs. resource requirements:

Usage Instructions

Step 1: Choose the Right Quantization

Determine your available resources:

1. **For GPU-only inference**: Choose a quant 1-2GB smaller than your GPU VRAM

2. **For CPU+GPU inference**: Add system RAM + GPU VRAM, then choose a quant 1-2GB smaller than the total

3. **For quality priority**: Use Q5_K_M or higher

4. **For resource-constrained systems**: Use Q4_K_M or lower

Step 2: Download the Model

Using huggingface-cli:

```bash

pip install -U "huggingface_hub[cli]"

For single-file models (< 50GB)

huggingface-cli download bartowski/Llama-3-Groq-70B-Tool-Use-GGUF --include "Llama-3-Groq-70B-Tool-Use-Q4_K_M.gguf" --local-dir ./

For split models (> 50GB)

huggingface-cli download bartowski/Llama-3-Groq-70B-Tool-Use-GGUF --include "Llama-3-Groq-70B-Tool-Use-Q8_0.gguf/*" --local-dir Llama-3-Groq-70B-Tool-Use-Q8_0

```

Step 3: Load the Model

**In LM Studio:**

1. Open LM Studio

2. Import the downloaded GGUF file

3. Configure inference settings

4. Start chatting

**With llama.cpp:**

```bash

./main -m Llama-3-Groq-70B-Tool-Use-Q4_K_M.gguf -p "Your prompt here" -n 512

```

Step 4: Use the Proper Prompt Format

```

<|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|>

```

Step 5: Implement Tool/Function Calling

When defining tools for the model, structure them according to Llama 3's tool use format. The model is specifically trained to generate function calls in response to user queries that require external tools or APIs.

Hardware Recommendations

Technical Notes

Constraints

Examples

**Basic function calling:**

```

System: You are a helpful assistant with access to a weather API.

User: What's the weather like in San Francisco?