Instructions to use Fu01978/DialoGPT-medium-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Fu01978/DialoGPT-medium-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Fu01978/DialoGPT-medium-GGUF",
	filename="dialogpt-medium.Q2_K.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Fu01978/DialoGPT-medium-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Fu01978/DialoGPT-medium-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Fu01978/DialoGPT-medium-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 Fu01978/DialoGPT-medium-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Fu01978/DialoGPT-medium-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 Fu01978/DialoGPT-medium-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Fu01978/DialoGPT-medium-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 Fu01978/DialoGPT-medium-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Fu01978/DialoGPT-medium-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Fu01978/DialoGPT-medium-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use Fu01978/DialoGPT-medium-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Fu01978/DialoGPT-medium-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": "Fu01978/DialoGPT-medium-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Fu01978/DialoGPT-medium-GGUF:Q4_K_M

Ollama
How to use Fu01978/DialoGPT-medium-GGUF with Ollama:
```
ollama run hf.co/Fu01978/DialoGPT-medium-GGUF:Q4_K_M
```

Unsloth Studio new

How to use Fu01978/DialoGPT-medium-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 Fu01978/DialoGPT-medium-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 Fu01978/DialoGPT-medium-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Fu01978/DialoGPT-medium-GGUF to start chatting

Docker Model Runner
How to use Fu01978/DialoGPT-medium-GGUF with Docker Model Runner:
```
docker model run hf.co/Fu01978/DialoGPT-medium-GGUF:Q4_K_M
```

Lemonade

How to use Fu01978/DialoGPT-medium-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Fu01978/DialoGPT-medium-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.DialoGPT-medium-GGUF-Q4_K_M

List all available models

lemonade list

DialoGPT-medium-GGUF

! WARNING: model may be broken. !

This repository contains the full suite of GGUF quantizations for microsoft/DialoGPT-medium.

DialoGPT is a large-scale pretrained dialogue response generation model. This version has been converted to GGUF format for use with llama.cpp and other compatible executors like LM Studio or GPT4All.

Usage Instructions

Using llama.cpp

./llama-cli -m DialoGPT-medium.Q4_K_M.gguf \
  -p "User: What is the secret to a happy life?\nBot:" \
  -n 128

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GGUF

Model size

0.4B params

Architecture

gpt2

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

View +1 variant

Model tree for Fu01978/DialoGPT-medium-GGUF

Base model

microsoft/DialoGPT-medium

Quantized

(3)

this model