Text Generation
Cosmos
GGUF
Turkish
thinking
gemma2
instruction
agent
turkish
türkçe
yerli
milli
8gb-Ram
12gb-Ram
4gb-Ram
CPU
NO-GPU
conversational
Instructions to use umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Cosmos
How to use umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF with Cosmos:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- llama-cpp-python
How to use umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF", filename="Kaira-Turkish-Gemma-9B-T1-f16.gguf", )
llm.create_chat_completion( messages = [ { "role": "user", "content": "What is the capital of France?" } ] ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use umutkkgz/Kaira-Turkish-Gemma-9B-T1-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 umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf umutkkgz/Kaira-Turkish-Gemma-9B-T1-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 umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M
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 umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M
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 umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "umutkkgz/Kaira-Turkish-Gemma-9B-T1-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": "umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M
- Ollama
How to use umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF with Ollama:
ollama run hf.co/umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M
- Unsloth Studio
How to use umutkkgz/Kaira-Turkish-Gemma-9B-T1-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 umutkkgz/Kaira-Turkish-Gemma-9B-T1-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 umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF with Docker Model Runner:
docker model run hf.co/umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M
- Lemonade
How to use umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Kaira-Turkish-Gemma-9B-T1-GGUF-Q4_K_M
List all available models
lemonade list
File size: 1,380 Bytes
345970e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | {
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"gpuType": "T4"
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
},
"accelerator": "GPU"
},
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "IHBfGGDn7rjw"
},
"outputs": [],
"source": [
"!pip install -U llama-cpp-python"
]
},
{
"cell_type": "code",
"source": [
"# !pip install llama-cpp-python\n",
"\n",
"from llama_cpp import Llama\n",
"\n",
"llm = Llama.from_pretrained(\n",
"\trepo_id=\"umutkkgz/Kaira-Turkish-Gemma-9B-T1-GGUF\",\n",
"\tfilename=\"Kaira-Turkish-Gemma-9B-T1-q4_K_M.gguf\",\n",
")\n"
],
"metadata": {
"id": "iESuhOI-72gv"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"llm.create_chat_completion(\n",
" messages = [\n",
" {\"role\": \"user\", \"content\": \"naber, nasılsın.\"}\n",
" ]\n",
")"
],
"metadata": {
"id": "pxrjDO5f77FJ"
},
"execution_count": null,
"outputs": []
}
]
} |