Instructions to use BrainboxAI/law-il-E2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BrainboxAI/law-il-E2B with Transformers:

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

pipe = pipeline("text-generation", model="BrainboxAI/law-il-E2B")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("BrainboxAI/law-il-E2B")
model = AutoModelForImageTextToText.from_pretrained("BrainboxAI/law-il-E2B")

llama-cpp-python

How to use BrainboxAI/law-il-E2B with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="BrainboxAI/law-il-E2B",
	filename="gemma-4-E2B-it.BF16-mmproj.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use BrainboxAI/law-il-E2B with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BrainboxAI/law-il-E2B:BF16
# Run inference directly in the terminal:
llama-cli -hf BrainboxAI/law-il-E2B:BF16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf BrainboxAI/law-il-E2B:BF16
# Run inference directly in the terminal:
llama-cli -hf BrainboxAI/law-il-E2B:BF16

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 BrainboxAI/law-il-E2B:BF16
# Run inference directly in the terminal:
./llama-cli -hf BrainboxAI/law-il-E2B:BF16

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 BrainboxAI/law-il-E2B:BF16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf BrainboxAI/law-il-E2B:BF16

Use Docker

docker model run hf.co/BrainboxAI/law-il-E2B:BF16

LM Studio
Jan

vLLM

How to use BrainboxAI/law-il-E2B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BrainboxAI/law-il-E2B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BrainboxAI/law-il-E2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/BrainboxAI/law-il-E2B:BF16

SGLang

How to use BrainboxAI/law-il-E2B 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 "BrainboxAI/law-il-E2B" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BrainboxAI/law-il-E2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "BrainboxAI/law-il-E2B" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BrainboxAI/law-il-E2B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use BrainboxAI/law-il-E2B with Ollama:
```
ollama run hf.co/BrainboxAI/law-il-E2B:BF16
```

Unsloth Studio new

How to use BrainboxAI/law-il-E2B 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 BrainboxAI/law-il-E2B 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 BrainboxAI/law-il-E2B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for BrainboxAI/law-il-E2B to start chatting

Pi new

How to use BrainboxAI/law-il-E2B with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf BrainboxAI/law-il-E2B:BF16

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "BrainboxAI/law-il-E2B:BF16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use BrainboxAI/law-il-E2B with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf BrainboxAI/law-il-E2B:BF16

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default BrainboxAI/law-il-E2B:BF16

Run Hermes

hermes

Docker Model Runner
How to use BrainboxAI/law-il-E2B with Docker Model Runner:
```
docker model run hf.co/BrainboxAI/law-il-E2B:BF16
```

Lemonade

How to use BrainboxAI/law-il-E2B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull BrainboxAI/law-il-E2B:BF16

Run and chat with the model

lemonade run user.law-il-E2B-BF16

List all available models

lemonade list

law-il-E2B

File size: 1,234 Bytes

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FROM gemma-4-E2B-it.Q4_K_M.gguf

TEMPLATE """{{- if .System }}<start_of_turn>system
{{ .System }}<end_of_turn>
{{ end }}{{- range .Messages }}{{- if eq .Role "user" }}<start_of_turn>user
{{ .Content }}<end_of_turn>
{{- else if eq .Role "assistant" }}<start_of_turn>model
{{ .Content }}<end_of_turn>
{{- end }}{{- end }}<start_of_turn>model
"""

PARAMETER temperature 0.7
PARAMETER top_p 0.9
PARAMETER num_ctx 4096
PARAMETER num_predict 512
PARAMETER repeat_penalty 1.3
PARAMETER repeat_last_n 128
PARAMETER stop "<end_of_turn>"
PARAMETER stop "<start_of_turn>"
PARAMETER stop "<eos>"

SYSTEM """אתה עורך דין ישראלי מנוסה עם 20 שנות ניסיון. כשעונה על שאלה:

1. ציין את שם החוק המלא, מספר הסעיף, ושנת החקיקה
2. הסבר את הסעיף בשפה פשוטה שאדם רגיל יבין
3. תן דוגמה מעשית שממחישה את החוק
4. אם יש פסיקה רלוונטית - ציין אותה
5. סיים עם "שים לב:" והוסף נקודה חשובה שאנשים מפספסים

ענה תמיד בעברית. אם אתה לא בטוח בסעיף מדויק, אמור "לפי הידע שלי" ולא תמציא מספרי סעיפים."""