Instructions to use AhmedLet/Qwen_0.5_python_codes_GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AhmedLet/Qwen_0.5_python_codes_GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("AhmedLet/Qwen_0.5_python_codes_GGUF", dtype="auto")

llama-cpp-python

How to use AhmedLet/Qwen_0.5_python_codes_GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AhmedLet/Qwen_0.5_python_codes_GGUF",
	filename="unsloth.Q4_K_M.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 AhmedLet/Qwen_0.5_python_codes_GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AhmedLet/Qwen_0.5_python_codes_GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf AhmedLet/Qwen_0.5_python_codes_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 AhmedLet/Qwen_0.5_python_codes_GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf AhmedLet/Qwen_0.5_python_codes_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 AhmedLet/Qwen_0.5_python_codes_GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf AhmedLet/Qwen_0.5_python_codes_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 AhmedLet/Qwen_0.5_python_codes_GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AhmedLet/Qwen_0.5_python_codes_GGUF:Q4_K_M

Use Docker

docker model run hf.co/AhmedLet/Qwen_0.5_python_codes_GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use AhmedLet/Qwen_0.5_python_codes_GGUF with Ollama:
```
ollama run hf.co/AhmedLet/Qwen_0.5_python_codes_GGUF:Q4_K_M
```

Unsloth Studio new

How to use AhmedLet/Qwen_0.5_python_codes_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 AhmedLet/Qwen_0.5_python_codes_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 AhmedLet/Qwen_0.5_python_codes_GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AhmedLet/Qwen_0.5_python_codes_GGUF to start chatting

Pi new

How to use AhmedLet/Qwen_0.5_python_codes_GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf AhmedLet/Qwen_0.5_python_codes_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": "AhmedLet/Qwen_0.5_python_codes_GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use AhmedLet/Qwen_0.5_python_codes_GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf AhmedLet/Qwen_0.5_python_codes_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 AhmedLet/Qwen_0.5_python_codes_GGUF:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use AhmedLet/Qwen_0.5_python_codes_GGUF with Docker Model Runner:
```
docker model run hf.co/AhmedLet/Qwen_0.5_python_codes_GGUF:Q4_K_M
```

Lemonade

How to use AhmedLet/Qwen_0.5_python_codes_GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AhmedLet/Qwen_0.5_python_codes_GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen_0.5_python_codes_GGUF-Q4_K_M

List all available models

lemonade list

Improve language tag

by lbourdois - opened Apr 28, 2025

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

+37

-25

Files changed (1) hide show

README.md +37 -25

README.md CHANGED Viewed

@@ -1,26 +1,38 @@
----
-base_model:
-- Qwen/Qwen2.5-0.5B-Instruct
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- qwen2
-- gguf
-license: apache-2.0
-language:
-- en
-datasets:
-- mlabonne/FineTome-100k
-- MohamedSaeed-dev/python_dataset_codes
-new_version: AhmedLet/Qwen_0.5_python_codes_mbpp_GGUF
----
-# Uploaded  model
-- **Developed by:** AhmedLet
-- **License:** apache-2.0
-This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

+---
+base_model:
+- Qwen/Qwen2.5-0.5B-Instruct
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen2
+- gguf
+license: apache-2.0
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+datasets:
+- mlabonne/FineTome-100k
+- MohamedSaeed-dev/python_dataset_codes
+new_version: AhmedLet/Qwen_0.5_python_codes_mbpp_GGUF
+---
+# Uploaded  model
+- **Developed by:** AhmedLet
+- **License:** apache-2.0
+This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)