Bonsai 1.7B - Bonsai

Bonsai 1.7B is the smallest model in the family. At 0.25 GB (1-bit), it targets smart glasses, wearables, and always-on background tasks where other models are too heavy.

Specifications


Parameters	~1.7B
Max context	32,768 tokens (native 8,192, extended 4x via YaRN)
Modalities	Text
License	Apache 2.0

Artifacts

Family	Format	Repository	On disk
Bonsai (1-bit)	GGUF	`prism-ml/Bonsai-1.7B-gguf`	0.25 GB
Bonsai (1-bit)	MLX	`prism-ml/Bonsai-1.7B-mlx-1bit`	0.27 GB
Ternary (1.58-bit)	GGUF	`prism-ml/Ternary-Bonsai-1.7B-gguf`	0.46 GB
Ternary (1.58-bit)	MLX	`prism-ml/Ternary-Bonsai-1.7B-mlx-2bit`	0.48 GB

The FP16 reference weights (3.45 GB) are in the ternary GGUF repo.

Run it

Through the demo repo:

BONSAI_MODEL=1.7B ./scripts/run_llama.sh -p "Classify this sentence as positive or negative: ..."
BONSAI_MODEL=1.7B ./scripts/start_llama_server.sh   # OpenAI-compatible API on :8080

Or directly with llama.cpp / MLX:

./llama-cli -m ./Bonsai-1.7B-gguf/Bonsai-1.7B-Q1_0.gguf -c 0 -p "Hello"

mlx_lm.generate --model prism-ml/Ternary-Bonsai-1.7B-mlx-2bit --prompt "Hello"