open-weights

llm Aug 17, 2026 7 min read

Qwen3.8 27B’s AA score of 52: what it means

Artificial Analysis’ Intelligence Index combines multiple reasoning and coding evaluations into a single 0–100 score. Qwen3.8 27B reportedly scored 52, suggesting strong task-completion behavior for a 27B-size model.

by ahsan

#ai-engineering #benchmarks #llm #open-weights #qwen

machine learning Aug 10, 2026 7 min read

Muse Glimmer 30B: An Open Agentic Coding Model You Can Run Locally

Muse Glimmer is Meta’s open-weight 30B agentic model released under Apache 2.0, designed to run locally for coding and tool-using workflows. Its local feasibility comes from quantization for memory fit and DFlash-based speculative decoding for faster generation.

by ahsan

#llm #local ai #open-weights #quantization #speculative decoding

machine learning Jul 15, 2026 6 min read

Inkling (975B): What Open-Weights Mixture-of-Experts Really Means—and How to Fine-Tune It

Thinking Machines’ Inkling is an open-weights, multimodal MoE LLM with 975B total parameters and 41B active per token. It supports long context (up to 1M tokens), controllable thinking effort, and fine-tuning via Tinker.

by ahsan

#fine-tuning #llm #mixture of experts #multimodal #open-weights