| --- |
| language: |
| - he |
| - en |
| license: apache-2.0 |
| base_model: unsloth/gemma-4-E2B-it |
| tags: |
| - legal |
| - law |
| - israel |
| - hebrew |
| - court-rulings |
| - kol-zchut |
| - gguf |
| - llama.cpp |
| - unsloth |
| - gemma4 |
| - vision-language-model |
| - conversational |
| pipeline_tag: text-generation |
| datasets: |
| - BrainboxAI/legal-training-il |
| pretty_name: BrainboxAI Law IL E2B |
| --- |
| |
| # BrainboxAI/law-il-E2B |
|
|
| ### Hebrew-First Israeli Legal AI Specialist (GGUF) |
|
|
| A Gemma 4 E2B model fine-tuned by **BrainboxAI** for Israeli legal Q&A, court ruling analysis, rights explanations (讻诇-讝讻讜转), and contract clause interpretation - bilingual Hebrew and English, optimized for local inference. |
|
|
| Built and maintained by **[BrainboxAI](https://huggingface.co/BrainboxAI)**, an Israeli AI agency founded by **Netanel Elyasi**, serving the Israeli market with privacy-first AI products. |
|
|
| --- |
|
|
| ## Model Details |
|
|
| | Attribute | Value | |
| |-----------|-------| |
| | **Base Model** | [unsloth/gemma-4-E2B-it](https://huggingface.co/unsloth/gemma-4-E2B-it) (Gemma 4 Efficient 2B Instruct) | |
| | **Architecture** | Gemma4ForConditionalGeneration (text + vision + audio) | |
| | **Parameters** | ~2B | |
| | **Context Length** | 131,072 tokens | |
| | **Languages** | Hebrew, English | |
| | **Training Framework** | Unsloth (2x faster fine-tuning) | |
| | **Training Dataset** | [BrainboxAI/legal-training-il](https://huggingface.co/datasets/BrainboxAI/legal-training-il) | |
| | **License** | Apache 2.0 | |
|
|
| --- |
|
|
| ## Intended Use |
|
|
| ### Primary Tasks |
| - **Israeli court ruling analysis** - Supreme Court, Family, Criminal, Civil |
| - **Citizens' rights Q&A** (Kol-Zchut style) - labor law, housing, health, insurance, disability, pensions |
| - **Israeli legislation explanation** - consolidated laws via Open Law Book |
| - **Contract clause interpretation** - 41 contract types, 28 clause categories (CUAD-based) |
| - **Hebrew legal drafting support** |
|
|
| ### Target Users |
| - Israeli law firms and solo practitioners |
| - Legal aid organizations |
| - HR departments needing Israeli labor law guidance |
| - Paralegal research workflows |
| - Citizens researching their rights |
|
|
| --- |
|
|
| ## Available Files |
|
|
| | File | Size | Use | |
| |------|------|-----| |
| | `gemma-4-E2B-it.Q4_K_M.gguf` | ~2 GB | Local inference (Ollama, llama.cpp, LM Studio) | |
| | `gemma-4-E2B-it.BF16-mmproj.gguf` | ~0.5 GB | Vision projector (multimodal tasks) | |
| | `Modelfile` | Small | Ollama configuration | |
|
|
| --- |
|
|
| ## Quick Start |
|
|
| ### With Ollama |
|
|
| ```bash |
| ollama create brainbox-law -f ./Modelfile |
| ollama run brainbox-law |
| ``` |
|
|
| ### With llama.cpp |
|
|
| ```bash |
| llama-cli -hf BrainboxAI/law-il-E2B --jinja |
| ``` |
|
|
| ### Example prompts |
|
|
| ``` |
| 诪讛 讛讝讻讜讬讜转 砖诇讬 讘谞讜砖讗 驻讬爪讜讬讬 驻讬讟讜专讬诐? |
| 谞转讞 讗转 驻住拽 讛讚讬谉 讛讘讗: [讟拽住讟 驻住拽 讛讚讬谉] |
| 讛住讘专 讗转 讞讜拽 讛讙谞转 讛驻专讟讬讜转 讘爪讜专讛 诪讜讘谞转. |
| What are the key legal implications of this clause? [clause text] |
| ``` |
|
|
| --- |
|
|
| ## Recommended System Prompt |
|
|
| ``` |
| DEFINITIONS: |
| role: BrainboxAI Legal Assistant - an AI specialist trained by BrainboxAI (founded by Netanel Elyasi) for Israeli law Q&A, court ruling analysis, citizens' rights, and contract interpretation. Bilingual Hebrew + English. |
| success: Provide accurate, source-grounded legal information in the user's language, with clear caveats that the output is informational and not a substitute for licensed legal counsel. |
| scope_in: |
| - Israeli law (civil, criminal, labor, family, administrative, constitutional) |
| - Citizens' rights under Israeli law |
| - Contract clause interpretation |
| - Court ruling analysis and summarization |
| - Cross-references between laws, regulations, and rulings |
| scope_out: |
| - Legal advice tied to specific real cases or persons |
| - Predictions of court outcomes |
| - Advice on foreign (non-Israeli) law unless explicitly asked |
| - Any content that facilitates illegal activity |
| |
| PREMISES: |
| - Input may be a legal question, statute citation, court ruling text, or contract clause. |
| - Input language may be Hebrew, English, or mixed. |
| - Statute and ruling citations stay in original form (e.g. 注"讗 1234/20, 讞讜拽 讬住讜讚: 讻讘讜讚 讛讗讚诐 讜讞讬专讜转讜). |
| - Training cutoff: 2025. For newer rulings or legislation, rely on user-provided context. |
| |
| REQUIREMENTS: |
| 1. Respond in the same primary language as the user's prompt. |
| 2. Cite statutes and court rulings using their canonical Israeli form. |
| 3. Every substantive claim should trace back to a specific statute, regulation, or ruling. |
| 4. Use plain language unless the user requests technical legal Hebrew. |
| 5. Add the disclaimer: "讝讛讜 诪讬讚注 讻诇诇讬 讜讗讬谞讜 诪讛讜讜讛 讬讬注讜抓 诪砖驻讟讬" (Hebrew) or "This is general information and not legal advice" (English) at the end of every substantive response. |
| 6. Never fabricate statute numbers, ruling citations, or case facts. |
| 7. For contract clauses, identify the clause type, the parties' obligations, and potential risks. |
| 8. For rights Q&A, structure the answer as: eligibility, how to claim, relevant authority, references. |
| 9. Decline out-of-scope requests and redirect to the nearest in-scope task. |
| |
| EDGE_CASES: |
| - Empty or vague question -> Ask a clarifying question in the user's language. |
| - Request for legal advice on a specific real case -> Provide general principles only; add a strong disclaimer. |
| - Conflicting statutes or rulings -> Present both, note the hierarchy (constitutional > statute > regulation). |
| - Request in a third language -> Respond in English and note fallback. |
| - Non-Israeli jurisdiction question -> Clarify scope and offer to answer from the Israeli perspective only. |
| |
| OUTPUT_FORMAT: |
| format: Markdown. Bulleted lists for enumerations, numbered steps for procedures. |
| default_structure: | |
| **讛谞讜砖讗 / Topic:** <topic> |
| **转砖讜讘讛 / Answer:** <answer body> |
| **诪拽讜专讜转 / Sources:** |
| - <statute or ruling citation> |
| - <additional reference> |
| **讛注专讛:** 讝讛讜 诪讬讚注 讻诇诇讬 讜讗讬谞讜 诪讛讜讜讛 讬讬注讜抓 诪砖驻讟讬. |
| language: Match user's input language. |
| length: Short questions 100-250 words / Analyses 300-700 words. |
| |
| VERIFICATION: |
| - Is the response in the user's language? |
| - Are statute and ruling citations in canonical Israeli form? |
| - Is every substantive claim sourced? |
| - Is the legal-advice disclaimer present? |
| - No fabricated citations or case facts? |
| ``` |
|
|
| --- |
|
|
| ## Training Details |
|
|
| - **Method:** QLoRA (LoRA adapters with 4-bit quantized base) |
| - **Framework:** Unsloth |
| - **Dataset:** 17,613 bilingual legal instruction pairs |
| - **Composition:** |
| - 7,960 Israeli court rulings (Hebrew) |
| - 2,353 Kol-Zchut rights articles (Hebrew) |
| - 300 Open Law Book statutes (Hebrew) |
| - 7,000 CUAD-based contract clauses (English) |
| - **Language split:** ~60% Hebrew, ~40% English |
|
|
| Full training dataset: [BrainboxAI/legal-training-il](https://huggingface.co/datasets/BrainboxAI/legal-training-il) |
|
|
| --- |
|
|
| ## Limitations & Ethical Considerations |
|
|
| - **Not a licensed lawyer.** This model provides general legal information, not advice. Always consult a licensed attorney for case-specific guidance. |
| - **Training cutoff.** Data coverage ends in 2025. Newer rulings or legislation may not be reflected. |
| - **Citation hygiene.** The model attempts to cite sources but may occasionally misquote; always verify with official sources (Nevo, Supreme Court website, Kol-Zchut). |
| - **Hebrew variance.** Archaic legal Hebrew and regional dialect may occasionally degrade output quality. |
| - **Dual-use caution.** Legal information can be misused to manipulate or harm. Deployments should include acceptable-use policies. |
|
|
| --- |
|
|
| ## Sibling Repositories |
|
|
| | Repo | Purpose | |
| |------|---------| |
| | [BrainboxAI/law-il-E2B](https://huggingface.co/BrainboxAI/law-il-E2B) | **This repo** - GGUF for local inference | |
| | [BrainboxAI/law-il-E2B-safetensors](https://huggingface.co/BrainboxAI/law-il-E2B-safetensors) | Training-ready safetensors | |
| | [BrainboxAI/legal-training-il](https://huggingface.co/datasets/BrainboxAI/legal-training-il) | Training dataset (17,613 examples) | |
|
|
| --- |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{brainboxai_law_il_e2b_2026, |
| author = {Elyasi, Netanel and BrainboxAI}, |
| title = {BrainboxAI Law IL E2B: A Hebrew-First Israeli Legal LLM}, |
| year = {2026}, |
| url = {https://huggingface.co/BrainboxAI/law-il-E2B}, |
| publisher = {Hugging Face} |
| } |
| ``` |
|
|
| --- |
|
|
| ## About BrainboxAI |
|
|
| **BrainboxAI** is an Israeli AI agency founded by **Netanel Elyasi**, specializing in: |
|
|
| - Custom LLM training (Hebrew-native and bilingual models) |
| - AI automation and agentic workflows |
| - Cybersecurity AI products (scanning, triage, reporting) |
| - Enterprise AI deployment (on-premise, privacy-first) |
|
|
| **Related models and datasets:** |
| - [BrainboxAI/cyber-analyst-4B](https://huggingface.co/BrainboxAI/cyber-analyst-4B) - Cyber analyst (GGUF) |
| - [BrainboxAI/brainboxai_cyber_train](https://huggingface.co/datasets/BrainboxAI/brainboxai_cyber_train) - Cyber training dataset |
|
|
| Contact: via Hugging Face or BrainboxAI. |
|
|
| --- |
|
|
| Trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth). |
|
|
