Türkçe
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Türkçe dilinde de eğitilmiş, anlamlı ve faydalı Türkçe yanıt verebilen modeller. Llama modelleri Türkçe konusunda pek yeterli değil maalesef. • 35 items • Updated • 3
How to use matrixportalx/TurkLlama-Mix-v2-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf matrixportalx/TurkLlama-Mix-v2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf matrixportalx/TurkLlama-Mix-v2-GGUF:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf matrixportalx/TurkLlama-Mix-v2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf matrixportalx/TurkLlama-Mix-v2-GGUF:Q4_K_M
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf matrixportalx/TurkLlama-Mix-v2-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf matrixportalx/TurkLlama-Mix-v2-GGUF:Q4_K_M
docker model run hf.co/matrixportalx/TurkLlama-Mix-v2-GGUF:Q4_K_M
How to use matrixportalx/TurkLlama-Mix-v2-GGUF with Ollama:
ollama run hf.co/matrixportalx/TurkLlama-Mix-v2-GGUF:Q4_K_M
How to use matrixportalx/TurkLlama-Mix-v2-GGUF with Docker Model Runner:
docker model run hf.co/matrixportalx/TurkLlama-Mix-v2-GGUF:Q4_K_M
How to use matrixportalx/TurkLlama-Mix-v2-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull matrixportalx/TurkLlama-Mix-v2-GGUF:Q4_K_M
lemonade run user.TurkLlama-Mix-v2-GGUF-Q4_K_M
lemonade list
| 🚀 Download | 🔢 Type | 📝 Description |
|---|---|---|
| Download | Q3 K M | Small, acceptable quality |
| Download | Q4 0 | Standard 4-bit (fast on ARM) |
| Download | Q4 K M | 4-bit balanced (recommended default) |
| Download | Q5 K M | 5-bit best (recommended HQ option) |
💡 Q4 K M provides the best balance for most use cases
3-bit
4-bit
5-bit