Instructions to use bcckfdn/cevher2-test-4-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use bcckfdn/cevher2-test-4-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf bcckfdn/cevher2-test-4-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bcckfdn/cevher2-test-4-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf bcckfdn/cevher2-test-4-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf bcckfdn/cevher2-test-4-GGUF:Q4_K_M
Build from source code
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 bcckfdn/cevher2-test-4-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf bcckfdn/cevher2-test-4-GGUF:Q4_K_M
Use Docker
docker model run hf.co/bcckfdn/cevher2-test-4-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use bcckfdn/cevher2-test-4-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bcckfdn/cevher2-test-4-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": "bcckfdn/cevher2-test-4-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/bcckfdn/cevher2-test-4-GGUF:Q4_K_M
- Ollama
How to use bcckfdn/cevher2-test-4-GGUF with Ollama:
ollama run hf.co/bcckfdn/cevher2-test-4-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use bcckfdn/cevher2-test-4-GGUF with Docker Model Runner:
docker model run hf.co/bcckfdn/cevher2-test-4-GGUF:Q4_K_M
- Lemonade
How to use bcckfdn/cevher2-test-4-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bcckfdn/cevher2-test-4-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.cevher2-test-4-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
cevher-406m-v16_2 — GGUF
SmolLM2 (Llama) mimarisiyle sıfırdan eğitilmiş modelin GGUF sürümleri. Eğitim token sayısı: 2.359 B · hidden 1792 · 34 katman.
| Dosya | Boyut |
|---|---|
cevher-406m-v16_2-BF16.gguf |
2889 MB |
cevher-406m-v16_2-Q8_0.gguf |
1536 MB |
cevher-406m-v16_2-Q5_K_M.gguf |
1035 MB |
cevher-406m-v16_2-Q4_K_M.gguf |
893 MB |
llama.cpp
llama-cli -m cevher-406m-v16_2-Q4_K_M.gguf -p "Merhaba" -cnv
Ollama
ollama create cevher-406m-v16_2 -f Modelfile
ollama run cevher-406m-v16_2
LM Studio
Dosyayı ~/.cache/lm-studio/models/bcckfdn/cevher2-test-4-GGUF/ altına koyun ya da uygulama içinden arayın.
- Downloads last month
- 195
Hardware compatibility
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Model tree for bcckfdn/cevher2-test-4-GGUF
Base model
bcckfdn/cevher2-test-4