- Libraries
- Transformers
How to use student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective with Transformers:
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective 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 student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
# Run inference directly in the terminal:
llama cli -hf student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
# Run inference directly in the terminal:
llama cli -hf student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
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 student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
# Run inference directly in the terminal:
./llama-cli -hf student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
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 student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
# Run inference directly in the terminal:
./build/bin/llama-cli -hf student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
Use Docker
docker model run hf.co/student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
- Llama new
- LM Studio
- Jan
- Ollama
How to use student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective with Ollama:
ollama run hf.co/student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
- Unsloth Desktop
- Docker Model Runner
How to use student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective with Docker Model Runner:
docker model run hf.co/student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
- Lemonade
How to use student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/
lemonade pull student-abdullah/Quantized_Qwen-2.5-Coding-0.5B_mixed_selective:F32_MIXED
Run and chat with the model
lemonade run user.Quantized_Qwen-2.5-Coding-0.5B_mixed_selective-F32_MIXED
List all available models
lemonade list
- Atomic Chat
