family: Bonsai

category: llm

memory_estimate_basis: derived-weight-only

fit_status: yes

license_status: needs-card-review

notes: Official Prism ML unpacked checkpoint; retain Qwen3 base parameter identity and do not count this as a new base family.


fit_status: borderline

notes: Weight-only estimate consumes the full 16GB budget before runtime overhead; not recommended for a 16GB device without quantization.


family: Ternary Bonsai

memory_estimate_basis: official-card-weight-only

license_status: verified

notes: The official card describes this as an unpacked FP16 file and explicitly says the packed format is where the memory benefit comes from.


memory_estimate_basis: derived-packed-weight-estimate

notes: Packed Apple Silicon deployment variant; total parameters remain 1.7B despite the compressed footprint.


notes: Official card reports a 0.63GB deployed weight footprint and Apple Silicon/iPhone support.


notes: Packed Apple Silicon deployment variant; total parameters remain 8B despite the compressed footprint.


notes: Packed ternary deployment variant; not a separate base model.


format: gguf

memory_estimate_basis: requires-quantization-level

fit_status: unknown

notes: GGUF family record; exact memory depends on the selected quantization file.


family: Bonsai Image

category: image-generation

notes: Image-generation deployment variant; kept outside the language-model count.


notes: Packed image-generation variant; kept outside the language-model count.


parameter_scope: edge-exception

runtime_support: mlx mlx-swift

notes: 27.3B binary language weights plus a 0.46B vision tower. Official MLX peak is 12.2GB at 100K context; this is included as an edge-deployment exception and not in the primary sub-12B count.


notes: Official 1-bit GGUF artifact with custom llama.cpp kernels. The card reports 11.6GB peak at 100K context; this is an edge-deployment exception and not in the primary sub-12B count.


notes: 27.3B ternary language weights plus a 0.46B vision tower. The MLX pack uses 2.25 effective bits/weight and the official card reports 15.5GB peak at 100K context; this is an edge-deployment exception and not in the primary sub-12B count.


notes: Official ternary GGUF artifact with custom llama.cpp kernels. The card reports 14.7GB peak at 100K context; this is an edge-deployment exception and not in the primary sub-12B count.