Turkish-English bilingual Llama 3 8B model fine-tuned for function calling and tool use, optimized for Turkish language understanding with GGUF quantization support
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A specialized Llama 3 8B model fine-tuned for function calling and tool use with strong Turkish language support. This model is provided in GGUF format for efficient local inference across CPU and mobile platforms.
This skill provides access to the Turkish-Llama-3-8B-function-calling model, a bilingual (Turkish/English) language model specifically trained for function calling scenarios. The model is quantized in GGUF format, enabling deployment on consumer hardware while maintaining high-quality function calling capabilities.
Select the appropriate quantization based on your hardware and quality requirements:
**Recommended Quantizations:**
**Quality vs Size Trade-offs:**
Download the chosen quantization from HuggingFace:
**Base URL Pattern:**
```
https://huggingface.co/matrixportal/Turkish-Llama-3-8B-function-calling-GGUF/resolve/main/turkish-llama-3-8b-function-calling-{QUANT}.gguf
```
**Example Downloads:**
Choose and install a compatible runtime:
**llama.cpp (Command Line):**
```bash
git clone https://github.com/ggml-org/llama.cpp
cd llama.cpp
make
./llama-cli -m /path/to/model.gguf -p "Your prompt"
```
**Ollama (Simplified):**
```bash
echo 'FROM /path/to/turkish-llama-3-8b-function-calling-q4_k_m.gguf' > Modelfile
ollama create turkish-function-calling -f Modelfile
ollama run turkish-function-calling
```
**LM Studio (GUI):**
1. Download LM Studio from lmstudio.ai
2. Click "Import" and select downloaded GGUF file
3. Load model and start chatting
**GPT4All (Cross-Platform GUI):**
1. Install GPT4All from gpt4all.io
2. Add model via "Download/Import Models"
3. Select imported model and start inference
Structure your prompts to leverage the model's function calling capabilities:
**Prompt Template:**
```
System: You are a helpful assistant with access to the following functions:
[Function definitions in JSON format]
User: [User request in Turkish or English]
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