Bonsai 27B · original 1-bit
The original Qwen3.6-based Bonsai 27B in its smaller 1-bit GGUF package. Bonsai 2 is a separate, newer generation.
At a glance
- Architecture
- unknown
- License
- apache-2.0
- Disk space
- 3.5 GB
- Software
- PrismML llama.cpp fork
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Add my hardwareWhich Bonsai is this?
Bonsai 2 is the newer Qwen3.8-based release. The original Bonsai 27B is Qwen3.6-based and has separate ternary and smaller 1-bit packages. A different fit badge can also reflect different evidence: Bonsai 2 has a publisher RTX 5090 measurement; the original packages have a memory-based estimate for that card.
Best for
- Text generation via llama.cpp using GGUF Q1_0_g128 weights
- Conversational or agentic tasks on local hardware where the model card describes support
- On-device inference with CUDA, Metal, or CPU backends as listed in the model card
- Long-context work up to the stated 262K-token window with the described 4-bit KV cache
- Speculative decoding on a CUDA serving path using the provided DSpark drafter
Tradeoffs
- Facts not stated in the source data, including specific compatibility beyond the listed backends, are not inferred
- The model card does not state performance guarantees; any benchmark or speed figures are source claims and are not independently verified here
- Hardware requirements are not fully specified; the source only mentions CUDA, Metal, CPU, and some example devices
- Quantized 1-bit weights and the custom kernels may require the linked llama.cpp fork; support outside that setup is not established in the source
- No purchase recommendation, testing claim, or license interpretation beyond the provided apache-2.0 metadata is made
Ways to run it
PrismML llama.cpp fork · Windows, macOS, Linux
Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.
./build/bin/llama-cli -m Bonsai-27B-Q1_0.gguf -p "Explain quantum computing in simple terms." -n 256 --temp 0.7 --top-p 0.95 --top-k 20 -ngl 99Explore its uses
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