Instructions to use DominuZ/jq-coder-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DominuZ/jq-coder-0.6B with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="DominuZ/jq-coder-0.6B",
	filename="jq-coder-v13-release-Q8_0.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use DominuZ/jq-coder-0.6B 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 DominuZ/jq-coder-0.6B:Q8_0
# Run inference directly in the terminal:
llama cli -hf DominuZ/jq-coder-0.6B:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DominuZ/jq-coder-0.6B:Q8_0
# Run inference directly in the terminal:
llama cli -hf DominuZ/jq-coder-0.6B:Q8_0

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 DominuZ/jq-coder-0.6B:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf DominuZ/jq-coder-0.6B:Q8_0

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 DominuZ/jq-coder-0.6B:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf DominuZ/jq-coder-0.6B:Q8_0

Use Docker

docker model run hf.co/DominuZ/jq-coder-0.6B:Q8_0

LM Studio
Jan

vLLM

How to use DominuZ/jq-coder-0.6B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DominuZ/jq-coder-0.6B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DominuZ/jq-coder-0.6B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/DominuZ/jq-coder-0.6B:Q8_0

Ollama
How to use DominuZ/jq-coder-0.6B with Ollama:
```
ollama run hf.co/DominuZ/jq-coder-0.6B:Q8_0
```

Unsloth Studio

How to use DominuZ/jq-coder-0.6B 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 DominuZ/jq-coder-0.6B 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 DominuZ/jq-coder-0.6B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for DominuZ/jq-coder-0.6B to start chatting

Atomic Chat new
Docker Model Runner
How to use DominuZ/jq-coder-0.6B with Docker Model Runner:
```
docker model run hf.co/DominuZ/jq-coder-0.6B:Q8_0
```

Lemonade

How to use DominuZ/jq-coder-0.6B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DominuZ/jq-coder-0.6B:Q8_0

Run and chat with the model

lemonade run user.jq-coder-0.6B-Q8_0

List all available models

lemonade list

DominuZ commited on 1 day ago

Commit

2f28647

verified ·

1 Parent(s): bca3cd8

Quickstart: comando curto da biblioteca Ollama (D0minuZ/jq-coder)

Browse files

Files changed (1) hide show

README.md +5 -1

README.md CHANGED Viewed

@@ -90,9 +90,13 @@ it also understands requests in Brazilian Portuguese (the only NL→jq model tha
 ## Quickstart — 10 seconds with Ollama
 ```bash
-ollama run hf.co/DominuZ/jq-coder-0.6B:Q8_0
 ```
 ## Or the `jqc` CLI — one binary, batteries included
 Prebuilt binaries for Windows, Linux and macOS (Apple Silicon) on the

 ## Quickstart — 10 seconds with Ollama
 ```bash
+ollama run D0minuZ/jq-coder
 ```
+The [Ollama library build](https://ollama.com/D0minuZ/jq-coder) ships the system prompt
+and `temperature 0` preconfigured — just type your request (+ a JSON sample). Running
+straight from this repo also works: `ollama run hf.co/DominuZ/jq-coder-0.6B:Q8_0`.
 ## Or the `jqc` CLI — one binary, batteries included
 Prebuilt binaries for Windows, Linux and macOS (Apple Silicon) on the