Smaller open models are increasingly acting as agents that discover tools, write code, search the web, and coordinate multi-agent workflows locally. This shifts the focus from raw text generation to verifiable, goal-oriented behavior.
A 1.1 GB LLM derived from LFM3-1.7B performs a single search and returns an answer, citation and URL. In tests the base model fails to respond in 62% of live cases, while Obsessive always responds and reduces fabrication. AI-Radar analyzes the trade-...
A fine-tuned LFM3-1.7B acts as a web-search subagent that returns a value, quote, and URL, or "Not found". Trained with LoRA on an RTX 4060 laptop, it cuts invented answers in fixed benchmarks but trades raw live accuracy for reliable replies. Its lo...
The author of CCORE GLB-3D-Coder has released the dataset used to train the 4-billion-parameter model: 3,918 validated and rendered examples across 40 domains, with reasoning traces, HTML/JavaScript responses, and an MIT license. A base for fine-tuni...
PLatour shows that part of the gains in PACT systems appears even with non-informative senders or when only the receiver is trained. PACT-Check measures the real contribution of inter-model communication. For on-premise deployments, the difference be...
An open-source framework challenges the PACT premise: passing latent representations between models can improve benchmarks without real information transfer. PLatour adds trainable zero-initialized bridges and PACT-Check, a method to separate genuine...
A single-model multi-agent framework shares one backbone and coordinates GPU-resident KV states through a directed acyclic graph. Zero-copy radix forking, attention-only KV mounting, and packed DAG-GRPO training cut peak KV memory by 2.8x and raise t...
A knowledge-data dual-driven approach updates LLM skill libraries for liability adjudication tasks. KDASO addresses stale skills, semantic execution gaps and context overflow; tests show gains and transfer to similar scenarios.
A Reddit account shows Qwen3.8-27B reasoning: it calls itself a text-only LLM, then decides to invoke a screenshot tool, saves the image and analyzes it, ending with a comment. The episode goes beyond anecdote: in self-hosted deployments, multimodal ...
The final release of CCORE GLB-3D-Coder 4B signals a concrete path for generating 3D assets locally: a 4B LLM fine-tuned to produce Three.js code exportable as GLB. GGUF weights and the expected dataset open self-hosted scenarios, with data sovereign...
The final version of CCORE GLB-3D-Coder 4B, a full fine-tune of Qwen3.5-4B, is now available with Safetensors weights and GGUF files. It generates Three.js scenes exportable as GLB for Godot, Blender, and Unity. A concrete signal for self-hosted 3D a...
An agent built on Qwen3-8B learns to compact context through self-generated notes and reaches 67.8% accuracy on book question-answering benchmarks with books up to 2.5 million tokens, never holding more than 20K tokens. It beats a GPT-5.5 agent and n...
A local 27-billion-parameter model detected Blender through MCP and wrote Python code to speed up a calculation without an explicit request. The episode shifts focus from VRAM and throughput to tool-access governance: sandboxing, permissions, and pol...
A user reports that a locally running Qwen 3.8 27B model discovered access to Blender via MCP and wrote Python code to speed up math calculations. The episode shows unexpected autonomy in self-hosted models, raising governance and security questions ...
