Llama-3.2-1B-Indonesian-Legal is an open-source language model based on Llama, fine-tuned for Indonesian legal text. Below are 12 foundation models & chat apps with similar functionality to Llama 3.2 1B Indonesian Legal, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
llama-3.2-3b-legal-id-sft is an open-source large language model fine-tuned for Indonesian legal text tasks. It provides developers with model weights and instructions for integration via API or CLI, supporting both local and cloud inference. Ideal for building legal NLP applications.
Llama-3.2-3B-Indo-Legal-GRPO-PGABL is an open-source language model fine-tuned for Indonesian legal text tasks. It enables developers and researchers to generate, analyze, and process legal documents in Indonesian. The model is distributed with open weights and supports both API and local inference.
Llama-3.2-3B-Indonesian-Alpaca is an open-source language model fine-tuned for Indonesian, enabling researchers and developers to perform text generation and NLP tasks in the Indonesian language. The model supports local inference and is distributed under a permissive license.
Llama-3.2-3B-Indonesian-Alpaca-GRPO is an open-source large language model fine-tuned for Indonesian, available for local inference via CLI or Docker. It is designed for AI researchers and developers seeking a foundation model for Indonesian NLP tasks.
Llama-3.2-1B-Q2_K-GGUF is an open-source, quantized large language model for efficient local inference and text generation. It is designed for AI researchers and developers who need customizable LLMs with open weights.
Llama-3.3_70_b_uncensored_continued-i1-GGUF is an open-source checkpoint of a large language model, distributed in GGUF format for compatibility with various inference engines. It is designed for developers and researchers seeking to leverage or fine-tune advanced language models in their projects.
Llama-3.2-1B-vknn is an open-source language model designed for text generation and chat-based applications. It is suitable for developers and researchers seeking a local, customizable model for NLP tasks, supporting transformer-based architectures and open weights.
llama3.1-8b-legal-clause-classifier is an open-source AI model designed to classify legal clauses in documents. It provides pretrained weights and supports integration via Python or Docker, making it suitable for legal tech developers and researchers.
Llama-3.2-3B-Instruct-GGUF is an open-source large language model hosted on Hugging Face, designed for text generation and inference. It enables developers and researchers to access, fine-tune, and deploy the model for various NLP tasks. The model is accessible via API and CLI and supports self-hosted deployment.
Llama-3-8B-Instruct-LLM2Vec-mntp-merged is an open-source, instruction-tuned large language model for text generation. It is designed for local deployment and customization by AI developers and researchers seeking advanced LLM capabilities.
Llama-3.1-8B-Instruct-LLM2Vec-mntp-merged is an open-source text embedding model built on Llama 3.1, designed to generate vector representations for text prompts. It is suitable for AI developers and researchers needing embeddings for search, retrieval, or animation applications.
llama3.2-3b-nepali-summarization-qlora-v1 is a fine-tuned Llama 3.2B model for summarizing Nepali text. It leverages QLoRA for efficient training and is intended for developers and researchers building Nepali NLP applications. The model can be used locally or integrated via API.
