Instructions to use dbands/Qwen2-7b-Alpacha-16bit-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use dbands/Qwen2-7b-Alpacha-16bit-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("dbands/Qwen2-7b-Alpacha-16bit-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use dbands/Qwen2-7b-Alpacha-16bit-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 dbands/Qwen2-7b-Alpacha-16bit-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf dbands/Qwen2-7b-Alpacha-16bit-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf dbands/Qwen2-7b-Alpacha-16bit-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf dbands/Qwen2-7b-Alpacha-16bit-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 dbands/Qwen2-7b-Alpacha-16bit-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf dbands/Qwen2-7b-Alpacha-16bit-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 dbands/Qwen2-7b-Alpacha-16bit-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf dbands/Qwen2-7b-Alpacha-16bit-GGUF:F16

Use Docker

docker model run hf.co/dbands/Qwen2-7b-Alpacha-16bit-GGUF:F16

LM Studio
Jan
Ollama
How to use dbands/Qwen2-7b-Alpacha-16bit-GGUF with Ollama:
```
ollama run hf.co/dbands/Qwen2-7b-Alpacha-16bit-GGUF:F16
```
Unsloth Desktop
Docker Model Runner
How to use dbands/Qwen2-7b-Alpacha-16bit-GGUF with Docker Model Runner:
```
docker model run hf.co/dbands/Qwen2-7b-Alpacha-16bit-GGUF:F16
```

Lemonade

How to use dbands/Qwen2-7b-Alpacha-16bit-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull dbands/Qwen2-7b-Alpacha-16bit-GGUF:F16

Run and chat with the model

lemonade run user.Qwen2-7b-Alpacha-16bit-GGUF-F16

List all available models

lemonade list

Atomic Chat

Qwen2-7b-Alpacha-16bit-GGUF / config.json

dbands

(Trained with Unsloth)

40b7228 verified over 2 years ago

Raw

History Blame Contribute Delete

29 Bytes

	{
	"model_type": "gemma"
	}