PrismML

Bonsai 2 27B

PrismML

Bonsai 2 27B is PrismML’s second-generation vision-language flagship, derived from Qwen3.8-27B. Ternary language weights and a hybrid linear/full-attention backbone reduce deployment footprint while retaining language reasoning, coding, image understanding, and agent-oriented capabilities. The current card specifies 27.36B total parameters, 262K context, and two GGUF packing formats; the vision encoder ships separately. Apache-licensed weights became available September 17. The September 24 smart-glasses coverage concerns deployment of Bonsai technology rather than a new named checkpoint. Compression quality and throughput claims depend on evaluation setup, hardware, packing, and runtime support.

Bonsai 27B

PrismML

Bonsai 27B is PrismML’s larger multimodal tier, derived from Qwen3.6-27B and optimized for local devices. It retains a hybrid linear/full-attention language backbone and image understanding, while binary language weights sharply reduce storage and memory needs. The model supports a 262K context, with an optional vision-tower package for image inputs; language-only deployment can omit that package. Apache-licensed weights are provided in GGUF and MLX formats, alongside ternary variants. July 14 is the official public release date. Hardware demonstrations and packed-weight footprints do not remove the additional memory cost of context, activation buffers, and runtime components.

Bonsai

PrismML

Bonsai is PrismML’s independently published low-bit language-model family for local and on-device deployment. The original release contains 8B, 4B, and 1.7B models using binary weights across embeddings, attention, feed-forward layers, and the language head. The representative 8.19B checkpoint uses a Qwen3-8B-derived dense Transformer, supports 65,536 tokens, and occupies approximately 1.15 GB for weights. April’s Ternary Bonsai variants offer a different accuracy and memory tradeoff and are grouped here alongside routine packings. Apache-licensed weights and specialized inference kernels are available. This family page excludes the later, separately positioned 27B vision-language tier.