Instructions to use kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-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 kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP
# Run inference directly in the terminal:
llama cli -hf kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP
# Run inference directly in the terminal:
llama cli -hf kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP

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 kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP
# Run inference directly in the terminal:
./llama-cli -hf kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP

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 kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP
# Run inference directly in the terminal:
./build/bin/llama-cli -hf kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP

Use Docker

docker model run hf.co/kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP

LM Studio
Jan

vLLM

How to use kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP

Ollama
How to use kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF with Ollama:
```
ollama run hf.co/kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP
```
Unsloth Desktop
Docker Model Runner
How to use kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF with Docker Model Runner:
```
docker model run hf.co/kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP
```

Lemonade

How to use kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull kingjones777/Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF:Q4_0_ROCMFP

Run and chat with the model

lemonade run user.Ling-3.0-tiny-base-30T-ROCmFP4-COHERENT-GGUF-Q4_0_ROCMFP

List all available models

lemonade list

Atomic Chat

New discussion

Resources

View closed (0)

Welcome to the community

The community tab is the place to discuss and collaborate with the HF community!