Instructions to use Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF",
	filename="Qwen3-8B-Base.F16.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Alybit/Qwen3-8B-Instruct-Alpaca-3k-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 Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Alybit/Qwen3-8B-Instruct-Alpaca-3k-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 Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Alybit/Qwen3-8B-Instruct-Alpaca-3k-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 Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF with Ollama:
```
ollama run hf.co/Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF:Q4_K_M
```

Unsloth Studio

How to use Alybit/Qwen3-8B-Instruct-Alpaca-3k-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 Alybit/Qwen3-8B-Instruct-Alpaca-3k-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 Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF to start chatting

Docker Model Runner
How to use Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF with Docker Model Runner:
```
docker model run hf.co/Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF:Q4_K_M
```

Lemonade

How to use Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3-8B-Instruct-Alpaca-3k-GGUF-Q4_K_M

List all available models

lemonade list

This model was finetuned with the first 3000 examples of Alpaca Cleaned.

Qwen3-8B-Instruct-Alpaca-3k-GGUF : GGUF

This model was finetuned and converted to GGUF format using Unsloth.

Example usage:

For text only LLMs: ./llama.cpp/llama-cli -hf Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF --jinja
For multimodal models: ./llama.cpp/llama-mtmd-cli -hf Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF --jinja

Available Model files:

Qwen3-8B-Base.F16.gguf
Qwen3-8B-Base.Q8_0.gguf
Qwen3-8B-Base.Q4_K_M.gguf This was trained 2x faster with Unsloth

Downloads last month: 36

GGUF

Model size

8B params

Architecture

qwen3

Hardware compatibility

4-bit

8-bit

16-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF

Base model

Qwen/Qwen3-8B-Base

Quantized

unsloth/Qwen3-8B-Base-unsloth-bnb-4bit

Quantized

(2)

this model

Alybit
/

Qwen3-8B-Instruct-Alpaca-3k-GGUF

Qwen3-8B-Instruct-Alpaca-3k-GGUF : GGUF

Available Model files:

Model tree for Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF

Dataset used to train Alybit/Qwen3-8B-Instruct-Alpaca-3k-GGUF