Open Source Today (2025-10-17): Facebook Releases MobileLLM-Pro with 128k Long Context Window and Outstanding Cross-Task Generalization
Daily Discovery of Latest LLMs
Date: 2025-10-17 · Location: Hong Kong, China
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📋 Overview
Base Language Model: MobileLLM-Pro
Markdown Model: Nanonets-OCR2
Multimodal Model: Home-cooked Mistral Small Omni
Chat Interface Project: chat-ui
Document AI Engine: PaddleOCR
Optimization Method: EPO
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🏆 Base Models
① MobileLLM-Pro
Description:
MobileLLM-Pro is part of the MobileLLM series with 1 billion parameters, optimized for on-device inference on mobile platforms.
It supports:
- General-purpose language tasks: tool invocation, Q&A, rewriting, summarizing.
- Context windows: up to 128k tokens for large document summarization & retrieval.
- Efficient quantization: int4 checkpoints maintain near-lossless performance.
Model Variants:
- Pre-trained base model
- Instruction-tuned version
One-click access:
https://sota.jiqizhixin.com/project/mobilellm-pro2
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② Nanonets-OCR2-3B
Description:
Nanonets-OCR2-3B is an advanced OCR-to-Markdown model capable of:
- Extracting text and outputting semantic-structured Markdown.
- Handling complex, multilingual documents.
- Performing Visual Question Answering (VQA).
One-click access:
https://sota.jiqizhixin.com/project/nanonets-ocr2-3b
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③ Home-cooked Mistral Small Omni
Description:
Home-Cook-Mistral-Small-Omni-24B merges:
- Mistral Small 2506 (visual capabilities)
- Voxtral 2507 (audio capabilities)
Features:
- Multimodal processing (vision + audio)
- Released under Apache 2.0 License
One-click access:
https://sota.jiqizhixin.com/project/home-cooked-mistral-small-omni
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🛠️ Frameworks & Tools
① chat-ui
Description:
An open-source SvelteKit chat interface for LLMs:
- Powers HuggingChat
- Compatible with OpenAI APIs
- Supports multi-service integration for NLP apps
One-click access:
https://sota.jiqizhixin.com/project/chat-ui
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② PaddleOCR
Description:
PaddleOCR offers:
- End-to-end OCR + Document AI processing
- Conversion of PDF/images → structured data
- Support for 100+ languages
- Lightweight design with high accuracy
- Widely used by developers & enterprises
One-click access:
https://sota.jiqizhixin.com/project/paddleocr2
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💡 Monetization Tip:
Platforms like AiToEarn官网 enable simultaneous publishing across major social media networks, analytics tracking, model rankings, and monetization options — ideal for LLM & OCR integration workflows.
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🤖 Agent Development
① EPO — Entropy-Regularized Policy Optimization
Description:
EPO introduces entropy regularization into reinforcement learning for LLM agents to improve:
- Training stability
- Generalization performance in multi-turn environments
Results:
- ScienceWorld: PPO+EPO doubles reward compared to baseline, with smooth monotonic gains.
- ALFWorld: GRPO+EPO shows steady upward trends.
- Validation: Success rate >0.8 within 40 steps (baseline struggles at <0.4 after 100 steps).
One-click access:
https://sota.jiqizhixin.com/project/epo-2
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📚 Original Source
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🌐 Final Note
By combining PaddleOCR for intelligent document processing, EPO for stable agent training, and AiToEarn for global content publishing & monetization, creators can build end-to-end AI solutions that not only perform well but also generate sustainable revenue across multiple platforms.
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Would you like me to add a comparison table of these projects for easier side-by-side analysis? That would make this Markdown even more concise for quick reference.
