Instructions to use aokitools/japanese-laws-egov-merge-202508191230 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use aokitools/japanese-laws-egov-merge-202508191230 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="aokitools/japanese-laws-egov-merge-202508191230")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("aokitools/japanese-laws-egov-merge-202508191230")
model = AutoModelForMultimodalLM.from_pretrained("aokitools/japanese-laws-egov-merge-202508191230")

llama-cpp-python

How to use aokitools/japanese-laws-egov-merge-202508191230 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="aokitools/japanese-laws-egov-merge-202508191230",
	filename="model.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use aokitools/japanese-laws-egov-merge-202508191230 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf aokitools/japanese-laws-egov-merge-202508191230
# Run inference directly in the terminal:
llama-cli -hf aokitools/japanese-laws-egov-merge-202508191230

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf aokitools/japanese-laws-egov-merge-202508191230
# Run inference directly in the terminal:
llama-cli -hf aokitools/japanese-laws-egov-merge-202508191230

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 aokitools/japanese-laws-egov-merge-202508191230
# Run inference directly in the terminal:
./llama-cli -hf aokitools/japanese-laws-egov-merge-202508191230

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 aokitools/japanese-laws-egov-merge-202508191230
# Run inference directly in the terminal:
./build/bin/llama-cli -hf aokitools/japanese-laws-egov-merge-202508191230

Use Docker

docker model run hf.co/aokitools/japanese-laws-egov-merge-202508191230

LM Studio
Jan

vLLM

How to use aokitools/japanese-laws-egov-merge-202508191230 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "aokitools/japanese-laws-egov-merge-202508191230"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aokitools/japanese-laws-egov-merge-202508191230",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/aokitools/japanese-laws-egov-merge-202508191230

SGLang

How to use aokitools/japanese-laws-egov-merge-202508191230 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "aokitools/japanese-laws-egov-merge-202508191230" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aokitools/japanese-laws-egov-merge-202508191230",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "aokitools/japanese-laws-egov-merge-202508191230" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "aokitools/japanese-laws-egov-merge-202508191230",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Ollama
How to use aokitools/japanese-laws-egov-merge-202508191230 with Ollama:
```
ollama run hf.co/aokitools/japanese-laws-egov-merge-202508191230
```

Unsloth Studio

How to use aokitools/japanese-laws-egov-merge-202508191230 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 aokitools/japanese-laws-egov-merge-202508191230 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 aokitools/japanese-laws-egov-merge-202508191230 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for aokitools/japanese-laws-egov-merge-202508191230 to start chatting

Atomic Chat new
Docker Model Runner
How to use aokitools/japanese-laws-egov-merge-202508191230 with Docker Model Runner:
```
docker model run hf.co/aokitools/japanese-laws-egov-merge-202508191230
```

Lemonade

How to use aokitools/japanese-laws-egov-merge-202508191230 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull aokitools/japanese-laws-egov-merge-202508191230

Run and chat with the model

lemonade run user.japanese-laws-egov-merge-202508191230-{{QUANT_TAG}}

List all available models

lemonade list

Experimental model in research stage

Quickstart

If you're using Ollama, run the following command first, then restart the Ollama app and select the newly added model.

ollama pull hf.co/aokitools/japanese-laws-egov-merge-202508191230

If you want to remove it, run the following command:

ollama list
ollama rm hf.co/aokitools/japanese-laws-egov-merge-202508191230:latest
ollama list

This model is a continual pretraining of EleutherAI/gpt-neox-20b.

Training details

Base model: gpt-oss:20b

License

Apache 2.0

Downloads last month: 16

Safetensors

Model size

21B params

Tensor type

BF16