Chat2Find/chat2find-instruct-v1
Chat2Find/chat2find-instruct-v1 is a 4.5 billion parameter trilingual instruction-tuned model developed by Chat2Find, based on a continued pre-trained Qwen3.5-7B architecture. Optimized for chain-of-thought (CoT) reasoning and robust agentic tool calling, it supports complex instruction-following in Sinhala, Tamil, and English. With a native context window of 262,144 tokens, it excels at solving complex mathematical, logical, and agent-driven workflows.
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Chat2Find-Instruct-v1: Trilingual Reasoning & Agentic Model
Chat2Find-Instruct-v1 is a 4.5 billion parameter trilingual model, built by Chat2Find, specifically optimized for advanced reasoning and agentic capabilities. Based on the robust Qwen3.5-7B architecture and fine-tuned with high-quality datasets, it processes queries with deep chain-of-thought (CoT) reasoning and robust agentic tool calling.
Key Capabilities
- Deep Chain-of-Thought (CoT) Reasoning: Automatically processes queries within
<reasoning>tags before generating a final output in<answer>tags. - Robust Agentic Tool Calling: Natively parses complex system prompts, invokes external APIs/functions, and digests responses to fulfill user objectives.
- Premium Trilingual Support: Seamlessly understands and switches between English, Sinhala, and Tamil.
- Lightweight & High Efficiency: Fine-tuned using Unsloth for optimized performance and memory footprint.
Training Details
The model was fine-tuned on the Chat2Find Unified Reasoning & Tool Dataset (279,260 records), with a significant focus on Tamil (45%), Sinhala (36%), and English (18%) data. The dataset included 78.4% general SFT tasks and 21.6% multi-turn agentic chat.
When to Use This Model
This model is ideal for applications requiring:
- Complex problem-solving that benefits from explicit reasoning steps.
- Integration with external tools and APIs for dynamic, real-time information.
- Multilingual interactions, particularly in Sinhala, Tamil, and English contexts.
- Efficient deployment due to its optimized architecture and training.