
LLMfit: Stop Guessing Which LLM Your Hardware Can Actually Run
LLMfit is a Rust-based terminal tool that scans your hardware and scores 157 LLMs across 30 providers for compatibility, speed, and quality. Here is why it matters.
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LLMfit is a Rust-based terminal tool that scans your hardware and scores 157 LLMs across 30 providers for compatibility, speed, and quality. Here is why it matters.

TeichAI, a four-person non-profit, generated 250 reasoning samples from Claude Opus 4.5, fine-tuned open-weight models on the result, and racked up 67,000 downloads. The legal and technical implications are more interesting than the benchmarks.

Alpamayo 1, a 10-billion-parameter vision-language-action model that explains its own driving decisions, has become the most downloaded robotics model on Hugging Face - less than two months after its CES 2026 debut.

A practical, hands-on guide for software developers who want to finetune open-source LLMs and distill larger models into smaller, faster ones - covering techniques, tools, datasets, and cloud GPU options.

Georgi Gerganov's ggml.ai joins Hugging Face, bringing the most important local inference project under the $13.5 billion AI platform's umbrella.

Georgi Gerganov and the ggml.ai team behind llama.cpp are joining Hugging Face. The deal unifies model hosting, model definition, and local inference under one open-source roof.

A viral tweet exposes an uncomfortable pattern in the local LLM community: endless hardware purchases, near-zero shipped products. The data backs it up.

Alibaba releases Qwen 3.5, a 397-billion-parameter open-weight model that claims to outperform US frontier models at a fraction of the cost.

Shanghai AI lab StepFun open-sources Step 3.5 Flash, a 196B sparse MoE model that activates only 11B parameters per token while matching frontier models on reasoning, coding, and agentic benchmarks.

Anthropic's legal and compliance documentation explicitly prohibits using Claude Code OAuth tokens in third-party tools - and the company is enforcing it with server-side blocks and account bans.

Rankings of the best open source LLMs you can run on home hardware - RTX 4090, RTX 3090, Apple M3/M4 Max - organized by VRAM tier with real-world token/s benchmarks and quality scores.

A data-driven look at benchmark contamination, leaderboard gaming, and whether public AI benchmarks can still tell us anything useful about model capabilities.