Instructions to use tmickleydoyle/Question-To-Code_gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tmickleydoyle/Question-To-Code_gguf with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("tmickleydoyle/Question-To-Code_gguf", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use tmickleydoyle/Question-To-Code_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 tmickleydoyle/Question-To-Code_gguf:F16
# Run inference directly in the terminal:
llama cli -hf tmickleydoyle/Question-To-Code_gguf:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tmickleydoyle/Question-To-Code_gguf:F16
# Run inference directly in the terminal:
llama cli -hf tmickleydoyle/Question-To-Code_gguf:F16

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf tmickleydoyle/Question-To-Code_gguf:F16
# Run inference directly in the terminal:
./build/bin/llama cli -hf tmickleydoyle/Question-To-Code_gguf:F16

Use Docker

docker model run hf.co/tmickleydoyle/Question-To-Code_gguf:F16

Llama new
LM Studio
Jan
Ollama
How to use tmickleydoyle/Question-To-Code_gguf with Ollama:
```
ollama run hf.co/tmickleydoyle/Question-To-Code_gguf:F16
```
Unsloth Desktop
Docker Model Runner
How to use tmickleydoyle/Question-To-Code_gguf with Docker Model Runner:
```
docker model run hf.co/tmickleydoyle/Question-To-Code_gguf:F16
```

Lemonade

How to use tmickleydoyle/Question-To-Code_gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tmickleydoyle/Question-To-Code_gguf:F16

Run and chat with the model

lemonade run user.Question-To-Code_gguf-F16

List all available models

lemonade list

Atomic Chat

Question-To-Code_gguf / config.json

tmickleydoyle

(Trained with Unsloth)

bd98556 verified almost 2 years ago

Download config.json from tmickleydoyle/Question-To-Code_gguf: direct link, hf CLI and curl.

Browser
Download file 29 Bytes

https://huggingface.co/tmickleydoyle/Question-To-Code_gguf/resolve/main/config.json

Command line

hf download hf://tmickleydoyle/Question-To-Code_gguf/config.json

curl -L -o config.json https://huggingface.co/tmickleydoyle/Question-To-Code_gguf/resolve/main/config.json

Raw History Blame Contribute Delete

29 Bytes

{
    "model_type": "qwen2"
}