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🧑‍⚖️ Judicia AI Law — Legal Conversational LLM

judiciaailaw is a fine-tuned LLaMA-3.2 1B Instruct model designed for:

Legal question answering
Document summarization
Legal chat/dialogue
Case-law reasoning
Drafting simple legal text

It is fine-tuned on the TechMaestro369 Indian Legal Texts dataset and adapted for conversational use.

🚀 Model Architecture

Base Model: unsloth/Llama-3.2-1B-Instruct
Type: Causal Language Model (Decoder-only)
Task: Text Generation
Framework: HuggingFace Transformers
Format: GGUF + HF Transformers

📌 Example Inference (Python)

from huggingface_hub import InferenceClient

client = InferenceClient(
    "hridika/judiciaailaw",
    token="YOUR_HF_TOKEN"
)

response = client.text_generation(
    "What is anticipatory bail?",
    max_new_tokens=200,
    temperature=0.7
)

print(response)

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GGUF

Model size

1B params

Architecture

llama

Hardware compatibility

4-bit

Model tree for hridika/judiciaailaw

Base model

meta-llama/Llama-3.2-1B-Instruct

Finetuned

unsloth/Llama-3.2-1B-Instruct

Quantized

(76)

this model

hridika
/

judiciaailaw

You need to agree to share your contact information to access this model

🧑‍⚖️ Judicia AI Law — Legal Conversational LLM

🚀 Model Architecture

📌 Example Inference (Python)

Model tree for hridika/judiciaailaw

Dataset used to train hridika/judiciaailaw