Instructions to use gaianet/Qwen2.5-3B-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use gaianet/Qwen2.5-3B-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/Qwen2.5-3B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf gaianet/Qwen2.5-3B-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/Qwen2.5-3B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf gaianet/Qwen2.5-3B-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/Qwen2.5-3B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf gaianet/Qwen2.5-3B-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/Qwen2.5-3B-Instruct-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf gaianet/Qwen2.5-3B-Instruct-GGUF:Q4_K_M
Use Docker
docker model run hf.co/gaianet/Qwen2.5-3B-Instruct-GGUF:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use gaianet/Qwen2.5-3B-Instruct-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "gaianet/Qwen2.5-3B-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/Qwen2.5-3B-Instruct-GGUF", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/gaianet/Qwen2.5-3B-Instruct-GGUF:Q4_K_M
- Ollama
How to use gaianet/Qwen2.5-3B-Instruct-GGUF with Ollama:
ollama run hf.co/gaianet/Qwen2.5-3B-Instruct-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use gaianet/Qwen2.5-3B-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/Qwen2.5-3B-Instruct-GGUF:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/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/Qwen2.5-3B-Instruct-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use gaianet/Qwen2.5-3B-Instruct-GGUF with Docker Model Runner:
docker model run hf.co/gaianet/Qwen2.5-3B-Instruct-GGUF:Q4_K_M
- Lemonade
How to use gaianet/Qwen2.5-3B-Instruct-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull gaianet/Qwen2.5-3B-Instruct-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Qwen2.5-3B-Instruct-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use gaianet/Qwen2.5-3B-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/Qwen2.5-3B-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/Qwen2.5-3B-Instruct-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use gaianet/Qwen2.5-3B-Instruct-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf gaianet/Qwen2.5-3B-Instruct-GGUF:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "gaianet/Qwen2.5-3B-Instruct-GGUF:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Improve language tag (#1)
Browse files- Improve language tag (44e0901c96e7d90d5372e0d72d063a78a86456e5)
Co-authored-by: Loïck BOURDOIS <lbourdois@users.noreply.huggingface.co>
README.md
CHANGED
|
@@ -1,36 +1,48 @@
|
|
| 1 |
-
---
|
| 2 |
-
base_model: Qwen/Qwen2.5-3B-Instruct
|
| 3 |
-
license: other
|
| 4 |
-
license_name: qwen-research
|
| 5 |
-
license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSEE
|
| 6 |
-
model_creator: Qwen
|
| 7 |
-
model_name: QQwen2.5-3B-Instruct
|
| 8 |
-
quantized_by: Second State Inc.
|
| 9 |
-
language:
|
| 10 |
-
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
-
|
| 14 |
-
-
|
| 15 |
-
|
| 16 |
-
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
|
| 22 |
-
|
| 23 |
-
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
|
| 28 |
-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
|
| 32 |
-
|
| 33 |
-
|
| 34 |
-
|
| 35 |
-
|
| 36 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-3B-Instruct
|
| 3 |
+
license: other
|
| 4 |
+
license_name: qwen-research
|
| 5 |
+
license_link: https://huggingface.co/Qwen/Qwen2.5-3B-Instruct/blob/main/LICENSEE
|
| 6 |
+
model_creator: Qwen
|
| 7 |
+
model_name: QQwen2.5-3B-Instruct
|
| 8 |
+
quantized_by: Second State Inc.
|
| 9 |
+
language:
|
| 10 |
+
- zho
|
| 11 |
+
- eng
|
| 12 |
+
- fra
|
| 13 |
+
- spa
|
| 14 |
+
- por
|
| 15 |
+
- deu
|
| 16 |
+
- ita
|
| 17 |
+
- rus
|
| 18 |
+
- jpn
|
| 19 |
+
- kor
|
| 20 |
+
- vie
|
| 21 |
+
- tha
|
| 22 |
+
- ara
|
| 23 |
+
pipeline_tag: text-generation
|
| 24 |
+
tags:
|
| 25 |
+
- chat
|
| 26 |
+
---
|
| 27 |
+
|
| 28 |
+
# Qwen2.5-3B-Instruct-GGUF
|
| 29 |
+
|
| 30 |
+
## Original Model
|
| 31 |
+
|
| 32 |
+
[Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct)
|
| 33 |
+
|
| 34 |
+
## Run with Gaianet
|
| 35 |
+
|
| 36 |
+
**Prompt template**
|
| 37 |
+
|
| 38 |
+
prompt template: `chatml`
|
| 39 |
+
|
| 40 |
+
**Context size**
|
| 41 |
+
|
| 42 |
+
chat_ctx_size: `32000`
|
| 43 |
+
|
| 44 |
+
**Run with GaiaNet**
|
| 45 |
+
|
| 46 |
+
- Quick start: https://docs.gaianet.ai/node-guide/quick-start
|
| 47 |
+
|
| 48 |
+
- Customize your node: https://docs.gaianet.ai/node-guide/customize
|