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Expert AI assistant for React, TypeScript, and Nx monorepo development for HAQQ blockchain applications. Specializes in wagmi, viem, blockchain integration, and monorepo best practices.

Expert Next.js development guidelines for building optimized, maintainable developer tools with TypeScript, React, and modern UI frameworks. Focuses on standardized tool structure, performance optimization, and comprehensive documentation.

Assess sentiment of text across 100+ languages using a fine-tuned E5-small model. Returns numeric sentiment scores for filtering, analysis, and content moderation in multilingual contexts.

Turkish-English bilingual Llama 3 8B model fine-tuned for function calling and tool use, optimized for Turkish language understanding with GGUF quantization support

Fine-tuned 270M parameter Gemma model specialized for simple function/tool calling tasks with conversational capabilities

Generate structured function calls and tool invocations using Groq's Llama 3 70B model fine-tuned for tool use and function calling. Excels at API interactions, structured data manipulation, and complex multi-step tool orchestration.

Llama-3 based model fine-tuned by Groq for advanced function calling and tool use, available in GGUF format for local inference with various quantization options

A 2.6B parameter Bulgarian language model optimized for function calling, tool use, and MCP integration. Available in multiple GGUF quantization formats for efficient local inference.

Evaluate function calls in Model Context Protocol (MCP) tools. Assess correctness, tool selection, parameter names, and parameter values using a fine-tuned Qwen2.5-0.5B model.

GGUF quantized version of Llama 3 70B optimized for tool use and function calling. Includes multiple quantization levels from IQ1_S (15.4GB) to Q6_K (58GB) to balance quality and performance based on available hardware.

Bulgarian language model specialized in function calling, tool use, and MCP (Model Context Protocol) integration. Based on Tucan-9B-v1.0 with enhanced tool-use capabilities.

Quantized GGUF model files for Llama-3-Groq-8B-Tool-Use, optimized for function calling and tool use with llama.cpp compatibility

A 70B parameter Llama 3 model fine-tuned by Groq for function calling and tool use, optimized for structured JSON tool invocations with natural language understanding.

A specialized AI model for advanced tool use and function calling tasks, fine-tuned from Llama 3 8B with 89.06% accuracy on the Berkeley Function Calling Leaderboard.

Function calling with Llama 3 8B model optimized by Groq for structured tool/function invocation with JSON output

A Llama 3 8B model fine-tuned by Groq for function calling and tool use. Excels at API interactions, structured data manipulation, and complex tool execution with 89% accuracy on BFCL.

Quantized GGUF model for function calling and tool use based on Meta's Llama-3 8B, optimized by Groq. Available in multiple quantization levels for various hardware requirements.

Function calling and tool use with Llama 3 8B optimized for API interactions, structured data manipulation, and complex tool orchestration. Achieves 89% accuracy on Berkeley Function Calling Leaderboard.

Run the Llama-3-Groq-8B-Tool-Use model locally with GGUF quantization for function calling and tool use. Includes guidance on selecting optimal quantization for your hardware.

OAuth2-based CLI for accessing Jira, Confluence, and GitHub via MCP protocol. Provides tools for fetching issues, searching content, and managing repositories with Bearer Token authentication.