Instructions to use MACreative/phi3-mini-128k-instruct-ru-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MACreative/phi3-mini-128k-instruct-ru-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="MACreative/phi3-mini-128k-instruct-ru-gguf",
	filename="phi3-mini-ru-fp16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use MACreative/phi3-mini-128k-instruct-ru-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf MACreative/phi3-mini-128k-instruct-ru-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf MACreative/phi3-mini-128k-instruct-ru-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf MACreative/phi3-mini-128k-instruct-ru-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf MACreative/phi3-mini-128k-instruct-ru-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 MACreative/phi3-mini-128k-instruct-ru-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf MACreative/phi3-mini-128k-instruct-ru-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 MACreative/phi3-mini-128k-instruct-ru-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MACreative/phi3-mini-128k-instruct-ru-gguf:Q4_K_M

Use Docker

docker model run hf.co/MACreative/phi3-mini-128k-instruct-ru-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use MACreative/phi3-mini-128k-instruct-ru-gguf with Ollama:
```
ollama run hf.co/MACreative/phi3-mini-128k-instruct-ru-gguf:Q4_K_M
```

Unsloth Studio

How to use MACreative/phi3-mini-128k-instruct-ru-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 MACreative/phi3-mini-128k-instruct-ru-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 MACreative/phi3-mini-128k-instruct-ru-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for MACreative/phi3-mini-128k-instruct-ru-gguf to start chatting

Docker Model Runner
How to use MACreative/phi3-mini-128k-instruct-ru-gguf with Docker Model Runner:
```
docker model run hf.co/MACreative/phi3-mini-128k-instruct-ru-gguf:Q4_K_M
```

Lemonade

How to use MACreative/phi3-mini-128k-instruct-ru-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MACreative/phi3-mini-128k-instruct-ru-gguf:Q4_K_M

Run and chat with the model

lemonade run user.phi3-mini-128k-instruct-ru-gguf-Q4_K_M

List all available models

lemonade list

Спасибо https://huggingface.co/alvis44/ модель взята с его репозитория Phi-3-mini-128k-instruct-RU, сконвертирована в gguf, есть квантованная версия 4-бит. Original model: alvis44/Phi-3-mini-128k-instruct-RU

FP16 and Quantized version (GGUF q4_K_M) of the Phi-3-mini-128k-instruct-RU model.

For example, to install 4-bit run: Убедитесь, что у вас установлен Ollama до выполнения команды ollama create. Если его нет, команда не выполнится. Его нужно скачать и установить с https://ollama.com/


pip install huggingface_hub
  
python -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='MACreative/phi3-mini-128k-instruct-ru-gguf', filename='phi3-mini-ru-q4_k_m.gguf', local_dir='.')"
curl -OutFile ModelFile https://huggingface.co/MACreative/phi3-mini-128k-instruct-ru-gguf/raw/main/ModelFile

ollama create my-phi3-ru -f ModelFile ollama run my-phi3-ru

Downloads last month: 37

GGUF

Model size

4B params

Architecture

phi3

Hardware compatibility

4-bit

View +1 variant

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