K2 Horizon 7B explained: small model, big-model results
IFM's K2 Horizon 7B open-weights model matches models four times its size on coding and math. What beginners should know before trying it.
17 stories tagged open-weights.
IFM's K2 Horizon 7B open-weights model matches models four times its size on coding and math. What beginners should know before trying it.
Community builders pushed Qwen3.8-27B to 2,000 tok/s prefill and 132 tok/s decode on a single RTX 3090. Here is what that speed means for local AI.
IBM Granite 4.2 is a family of dense reasoning LLMs in 3B, 8B, and 30B sizes with native chain-of-thought and multi-stage agentic RL, all released under Apache 2.0.
Quantization-Aware Healing distills 4-bit compressed LLMs from the original teacher. The 4-bit student beats its bfloat16 source on 7 of 9 benchmarks.
Qwen 3.8 27B is a free, open-weights AI model that runs on your laptop. After one week and 2,000 community posts, here is what testers found.
Qwen3.8 open weights give you 2.4 trillion parameters with 95 billion active per token, Alibaba's largest. Here is what beginners should know.
Meta's 30B open-weights Muse Glimmer fits on one RTX 3090 and reaches 280 tokens per second, built for local agentic workflows.
Released on Hugging Face under a permissive commercial license, NVIDIA Alpamayo 2 Super is a 34B open reasoning model for autonomous vehicles.
Qwen3.8-Max is Alibaba's 2.4T open-weight model ranking fifth in text and second in vision on Arena. The gap with US frontier labs narrows but does not close.
Scoring 50 on the Intelligence Index, the DeepSeek V4 Flash 0731 open-weights update matches March 2026 frontier models. What it changes for you.
With 284B parameters and 13B active, DeepSeek V4 Flash went live on July 31, 2026, matching frontier coding benchmarks at a fraction of the cost.
Moonshot AI's open-weight Kimi K3 ranks fourth of 580 models on Artificial Analysis while activating only 104B of 2.8 trillion parameters.
At 2.8 trillion parameters, the Kimi K3 open weights released July 26, 2026 are the largest AI model download yet. What beginners can do with them.
Thinking Machines Lab's first open-weights model, Inkling, has 975B parameters, 41B active and an Apache 2.0 license, and targets fine-tuning over benchmarks.
Moonshot AI's 2.8 trillion parameter open-weight Kimi K3 matches top US closed models on key benchmarks, with weights due July 27.
Tencent's Hy3 open-weights model has 295 billion parameters but only 21 billion active per token, rivalling larger models and cutting hallucination to 5.4 percent.
LongCat-2.0 is a 1.6 trillion parameter AI model from Meituan that activates only 48 billion parameters per token. Its weights are now open under the MIT license.