LLM Reddit Apr 19, 2026 2 min read
A r/LocalLLaMA thread turned one user’s failed local tool-calling setup into a practical checklist: OpenWebUI, native tool calls, quants, runtimes and wrappers all matter.
#tool-calling
RSS FeedLLM Reddit Apr 7, 2026 2 min read
A LocalLLaMA post with roughly 350 points argues that Gemma 4 26B A3B becomes unusually effective for local coding-agent and tool-calling workflows when paired with the right runtime settings, contrasting it with prompt-caching and function-calling issues the poster saw in other local-model setups.
LLM sources.twitter Mar 23, 2026 2 min read
Together AI said on March 19, 2026 that its fine-tuning service now supports tool-call, reasoning, and vision-language workflows. The linked Together AI blog adds 100B+ parameter model support, datasets up to 100GB, up to 6x higher throughput on large MoE models, and upfront cost plus ETA estimates.
LLM sources.twitter Mar 22, 2026 2 min read
Together AI said on March 19, 2026 that its fine-tuning service now supports tool calling, reasoning, and vision-language model training, with up to 6x higher throughput on MoE architectures. The company says the update also targets very large models, supports datasets up to 100GB, and adds pre-run cost estimates plus live ETAs during training.
LLM Reddit Mar 8, 2026 1 min read
A high-scoring LocalLLaMA post highlights Open WebUI’s Open Terminal: a Docker or bare-metal execution layer that lets local models run commands, edit files, and return artifacts through chat.
LLM Reddit Feb 21, 2026 2 min read
A technical r/LocalLLaMA thread pointed to llama.cpp PR #19765, merged on February 20, 2026. The patch unifies parser paths as a stop-gap for Qwen3-Coder-Next issues and adds parallel tool-calling plus JSON schema fixes.