Instructions to use gaianet/Qwen2.5-7B-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use gaianet/Qwen2.5-7B-Instruct-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="gaianet/Qwen2.5-7B-Instruct-GGUF",
	filename="Qwen2.5-7B-Instruct-Q2_K.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 gaianet/Qwen2.5-7B-Instruct-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 gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf gaianet/Qwen2.5-7B-Instruct-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 gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf gaianet/Qwen2.5-7B-Instruct-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 gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf gaianet/Qwen2.5-7B-Instruct-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 gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M

Use Docker

docker model run hf.co/gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use gaianet/Qwen2.5-7B-Instruct-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "gaianet/Qwen2.5-7B-Instruct-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": "gaianet/Qwen2.5-7B-Instruct-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M

Ollama
How to use gaianet/Qwen2.5-7B-Instruct-GGUF with Ollama:
```
ollama run hf.co/gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M
```

Unsloth Studio

How to use gaianet/Qwen2.5-7B-Instruct-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 gaianet/Qwen2.5-7B-Instruct-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 gaianet/Qwen2.5-7B-Instruct-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for gaianet/Qwen2.5-7B-Instruct-GGUF to start chatting

How to use gaianet/Qwen2.5-7B-Instruct-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use gaianet/Qwen2.5-7B-Instruct-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use gaianet/Qwen2.5-7B-Instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M
```

Lemonade

How to use gaianet/Qwen2.5-7B-Instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull gaianet/Qwen2.5-7B-Instruct-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen2.5-7B-Instruct-GGUF-Q4_K_M

List all available models

lemonade list

alabulei

lbourdois commited on Apr 28, 2025

Commit

ee42c64

verified ·

1 Parent(s): e966358

Improve language tag (#1)

Browse files

- Improve language tag (04a14cf5b02b1fc9ee9e32756efd223fa5c695dc)

Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>

Files changed (1) hide show

README.md +48 -36

README.md CHANGED Viewed

@@ -1,37 +1,49 @@
----
-base_model: Qwen/Qwen2.5-7B-Instruct
-license: apache-2.0
-license_link: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct/blob/main/LICENSE
-model_creator: Qwen
-model_name: Qwen2.5-7B-Instruct
-quantized_by: Second State Inc.
-language:
-- en
-pipeline_tag: text-generation
-tags:
-- chat
----
-# Qwen2.5-7B-Instruct-GGUF
-## Original Model
-[Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
-## Run with Gaianet
-**Prompt template**
-prompt template: `chatml`
-**Context size**
-chat_ctx_size: `128000`
-**Run with GaiaNet**
-- Quick start: https://docs.gaianet.ai/node-guide/quick-start
-- Customize your node: https://docs.gaianet.ai/node-guide/customize
 *Quantized with llama.cpp b3751*

+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct/blob/main/LICENSE
+model_creator: Qwen
+model_name: Qwen2.5-7B-Instruct
+quantized_by: Second State Inc.
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+pipeline_tag: text-generation
+tags:
+- chat
+---
+# Qwen2.5-7B-Instruct-GGUF
+## Original Model
+[Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)
+## Run with Gaianet
+**Prompt template**
+prompt template: `chatml`
+**Context size**
+chat_ctx_size: `128000`
+**Run with GaiaNet**
+- Quick start: https://docs.gaianet.ai/node-guide/quick-start
+- Customize your node: https://docs.gaianet.ai/node-guide/customize
 *Quantized with llama.cpp b3751*