DeepGrove released Maple-Preview, an open-weight 20B-A1B ternary-weight mixture-of-experts reasoning model that runs at 218 tokens per second on an Apple Mac mini M4, with a 5.31 GB checkpoint and a 1…
DeepGrove's Maple-Preview 20B-A1B, an open-source ternary-weight reasoning model with a 5.31 GB checkpoint, runs locally on a base Mac mini M4 at 218 tokens per second, according to the company. The m…
Maple-Preview, a 20B parameter Mixture-of-Experts transformer quantized to ternary weights, achieves 120 tokens per second on an iPhone, according to a developer preview. The model, which runs on Appl…
DeepGrove's Maple-Preview, a 20B-parameter mixture-of-experts reasoning model with ternary weights, achieves 120 tokens per second on an iPhone and 218 tok/s on a base M4 Mac mini, according to the co…
Maple-Preview, a ternary 20B mixture-of-experts model, achieves 120 tokens per second on an iPhone, as announced on Hacker News. The model's performance highlights the potential for local AI on low-en…