Tagged "tool-calling"
- llama.cpp Improves Muse Glimmer Tool Calling with Latest Update
- llama.cpp Updates Tool Call Detection for Muse Glimmer
- Ollama Releases NVIDIA Nemotron 3.5 Lightning for Agent Execution
- Meta's Muse Glimmer Now Available Across All Platforms via Ollama
- Liquid AI LFM2.5-2.6B: Open-Weights Agentic Model With 128K Context and Tool Calling
- Liquid AI Releases LFM2.5-2.6B: Powerful Agentic Model for Raspberry Pi and Edge Devices
- LFM2.5-2.6B: On-Device Agentic Model With 128K Context and Tool Calling
- How to Build CLI Agents with Python & Ollama
- 7 Python Frameworks for Orchestrating Local AI Agents
- My Local LLM Can Call Every Tool That Claude Can, Except It Runs on My Own Hardware
- Turning Spoken Commands into JSON Tool Calls on iPhones
- Why Tool Calling is More Important Than Model Size for Local LLMs
- Tool Calling Capabilities Essential for Practical Local LLM Agents
- Show HN: Filling PDF Forms with AI Using Client-Side Tool Calling
- Critical Unsloth Gemma-4 Chat Template Updates for Tool Calling
- GLM 5.1 Dominates Agentic Benchmarks, Outperforming Most Models at 1/3 Opus Cost
- Gemma 4 Template Improvements Enhance Tool Use and Dialog Compliance
- Gemma 4 26B Achieves Impressive Local Performance With Proper Configuration
- Book on AI Agents for the Layman: Understanding Agent-Based Systems
- OmniCoder-9B: Efficient Coding Model for 8GB GPUs
- Open WebUI Adds Native Terminal Tool Calling with Qwen3.5 35B Support
- Qwen3.5-35B Unsloth Dynamic GGUFs Achieve SOTA Across Nearly All Quantisation Levels