letchupkt/ gemma-2b-lawer

4 Downloads Updated 8 months ago

ollama run letchupkt/gemma-2b-lawer

curl http://localhost:11434/api/chat \
  -d '{
    "model": "letchupkt/gemma-2b-lawer",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='letchupkt/gemma-2b-lawer',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'letchupkt/gemma-2b-lawer',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

Name

1 model

Size / Usage

Context

Input

gemma-2b-lawer:latest

5.2GB · 8K context window · Text · 8 months ago

gemma-2b-lawer:latest

5.2GB

8K

Text

Readme

⚖️ `gemma-2b-lawer`

A fine-tuned version of Google’s Gemma 2B model, specialized for legal text analysis and reasoning. Optimized for local deployment on Ollama to provide fast, private, and cost-effective contract analysis.

This model is a core component of the LegalRiskBot project, which helps Indian SMEs understand complex legal documents.

Model Details

Model Family: Google Gemma 2B
Specialization: Fine-tuned for Indian legal language, clauses, and common legal document structures.
Purpose: Plain-language legal explanations, risk identification, and clause summarization.
Architecture: Text-to-text, decoder-only.
Quantization: Q4_0 (or the quantization you used, e.g., Q5_K_M)
File Size: 5.2 GB

Why use this model?

gemma-2b-lawer is optimized for:

Domain-Specific Accuracy: Trained on legal texts, it understands and generates more relevant legal summaries than a general-purpose model.
Local Privacy: All processing runs locally on your machine, ensuring your legal documents and data remain private and secure.
High Performance: The 2B parameter size and efficient quantization allow it to run quickly on consumer hardware.

How to Use

To run this model, you must have Ollama installed and running on your system.

1. Pull the model:

ollama pull letchupkt/gemma-2b-lawer

2. Run the model:

ollama run letchupkt/gemma-2b-lawer

Example Prompt:

ollama run letchupkt/gemma-2b-lawer "Explain the Termination Clause from a vendor contract in simple business language."

Intended Use

This model is designed for informational and educational purposes to assist with legal document comprehension. It is a powerful tool for:

Summarizing legal clauses.
Identifying potential risks for small business owners.
Translating legal jargon into plain language.

⚠️ Disclaimer: This model’s output is for informational purposes only and does not constitute legal advice. Please consult with a qualified legal professional for specific legal matters.

Acknowledgements

This model is based on the Google Gemma family of models. A special thanks to the Ollama team for providing the platform that makes local model deployment simple and accessible.

# ⚖️ `gemma-2b-lawer`

A fine-tuned version of Google's Gemma 2B model, specialized for legal text analysis and reasoning. Optimized for local deployment on Ollama to provide fast, private, and cost-effective contract analysis.

This model is a core component of the [LegalRiskBot project](https://www.google.com/search?q=https://github.com/your-repo-link-here), which helps Indian SMEs understand complex legal documents.

### **Model Details**

* **Model Family:** Google Gemma 2B
  * **Specialization:** Fine-tuned for Indian legal language, clauses, and common legal document structures.
  * **Purpose:** Plain-language legal explanations, risk identification, and clause summarization.
  * **Architecture:** Text-to-text, decoder-only.
  * **Quantization:** `Q4_0` (or the quantization you used, e.g., `Q5_K_M`)
  * **File Size:** 5.2 GB

### **Why use this model?**

`gemma-2b-lawer` is optimized for:

* **Domain-Specific Accuracy:** Trained on legal texts, it understands and generates more relevant legal summaries than a general-purpose model.
  * **Local Privacy:** All processing runs locally on your machine, ensuring your legal documents and data remain private and secure.
  * **High Performance:** The 2B parameter size and efficient quantization allow it to run quickly on consumer hardware.

### **How to Use**

To run this model, you must have Ollama installed and running on your system.

**1. Pull the model:**

```bash
ollama pull letchupkt/gemma-2b-lawer
```

**2. Run the model:**

```bash
ollama run letchupkt/gemma-2b-lawer
```

**Example Prompt:**

```
ollama run letchupkt/gemma-2b-lawer "Explain the Termination Clause from a vendor contract in simple business language."
```

### **Intended Use**

This model is designed for informational and educational purposes to assist with legal document comprehension. It is a powerful tool for:

* **Summarizing** legal clauses.
  * **Identifying** potential risks for small business owners.
  * **Translating** legal jargon into plain language.

**⚠️ Disclaimer:** This model's output is for informational purposes only and does not constitute legal advice. Please consult with a qualified legal professional for specific legal matters.

### **Acknowledgements**

This model is based on the [Google Gemma](https://ai.google.dev/gemma/docs) family of models. A special thanks to the Ollama team for providing the platform that makes local model deployment simple and accessible.

Paste, drop or click to upload images (.png, .jpeg, .jpg, .svg, .gif)