Instructions to use Ichi-nya/eveler_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 Ichi-nya/eveler_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 Ichi-nya/eveler_gguf:F16 # Run inference directly in the terminal: llama cli -hf Ichi-nya/eveler_gguf:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Ichi-nya/eveler_gguf:F16 # Run inference directly in the terminal: llama cli -hf Ichi-nya/eveler_gguf:F16
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 Ichi-nya/eveler_gguf:F16 # Run inference directly in the terminal: ./llama-cli -hf Ichi-nya/eveler_gguf:F16
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 Ichi-nya/eveler_gguf:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Ichi-nya/eveler_gguf:F16
Use Docker
docker model run hf.co/Ichi-nya/eveler_gguf:F16
- LM Studio
- Jan
- vLLM
How to use Ichi-nya/eveler_gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Ichi-nya/eveler_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": "Ichi-nya/eveler_gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Ichi-nya/eveler_gguf:F16
- Ollama
How to use Ichi-nya/eveler_gguf with Ollama:
ollama run hf.co/Ichi-nya/eveler_gguf:F16
- Unsloth Studio
How to use Ichi-nya/eveler_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 Ichi-nya/eveler_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 Ichi-nya/eveler_gguf to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Ichi-nya/eveler_gguf to start chatting
- Atomic Chat new
- Docker Model Runner
How to use Ichi-nya/eveler_gguf with Docker Model Runner:
docker model run hf.co/Ichi-nya/eveler_gguf:F16
- Lemonade
How to use Ichi-nya/eveler_gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Ichi-nya/eveler_gguf:F16
Run and chat with the model
lemonade run user.eveler_gguf-F16
List all available models
lemonade list
Eveler
Описание
Эта репозитория содержит только GGUF‑модели, полученные из базовой модели IlyaGusev/saiga_nemo_12b после объединения 10 LoRA‑адаптеров, обученных на RTX 5090. GGUF‑формат оптимизирован для быстрого инференса в llama.cpp и в LM Studio.
Форматы
- GGUF – файлы
model_f16.gguf,model_q4_k_m.gguf(и любые другие квантизации, которые вы добавите). Эти файлы можно сразу использовать вllama.cppили импортировать в LM Studio.
Как использовать GGUF
1️⃣ Через llama.cpp
# Клонируем репозиторий llama.cpp (если ещё не сделали)
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
make # собираем
# Запускаем модель (пример для полной точности)
./llama-cli -m path/to/model_f16.gguf -p "Привет, мир!" -c 32768
2️⃣ Через LM Studio
- Откройте LM Studio.
- Нажмите Import Model → выберите эту папку.
- LM Studio автоматически конвертирует GGUF в внутренний формат и готова к генерации.
Теги
saiga, russian, gguf, lora, 12B
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Model tree for Ichi-nya/eveler_gguf
Base model
IlyaGusev/saiga_nemo_12b