PrismMLBonsai 27B

External Link

PrismML's 1-bit multimodal Qwen3.6 27B derivative with local vision, reasoning, and tool-calling support.

Token context
262K tokens
Inputs
Text, Image
Outputs
Text
Released
Jul 4, 2026

Providers & Pricing

0 current sourced offerings

No Hosted API AvailableThis record is downloadable or self-hosted. Its cost depends on the infrastructure and serving configuration, not a universal model price.

At a Glance

Model Facts

Identity

Status
active
Developer ID
prism-ml/Bonsai-27B
Released
Jul 4, 2026
Version
Bonsai 27B
License
apache-2.0

Capacity

Token context
262K tokens
Maximum output
Unknown
Total parameters
27B
Active parameters
Unknown
Knowledge cutoff
Not reported

Interface and Access

Inputs
Text, Image
Outputs
Text
API available
No
Open weights
Yes
Self-hostable
Yes
Reasoning
Yes
Vision
Yes
Tool calling
Yes
Capabilities
chat, generation, reasoning, tools, vision

Technical Specifications

Base model
Qwen3.6 27B
Weight format
Binary Q1_0
Effective bit width
1 bit per weight
Language model size
3.53 GiB

This page represents one developer model product. Dated API snapshots, serving endpoints, pricing, regions, quantizations, and service tiers attach as versioned aliases or provider details and never create duplicate public model records.

Version Lineage

PredecessorUnknown
SuccessorsUnknown
Aliasesprism-ml/Bonsai-27B, prism-ml/Bonsai-27B-gguf, prism-ml/Bonsai-27B-mlx-1bit

Explicit Unknowns

  • Maximum output
  • Architecture
  • Tokenizer
  • Knowledge cutoff

Primary Evidence

Sources and Observation Date

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Questions

Bonsai 27B FAQs

What is Bonsai 27B?+

PrismML's 1-bit multimodal Qwen3.6 27B derivative with local vision, reasoning, and tool-calling support. It is developed by PrismML and its current sourced lifecycle status is active.

What inputs and outputs does Bonsai 27B support?+

Bonsai 27B's current record lists Text and Image as input and Text as output.

How much context does Bonsai 27B support?+

The current record lists a 262K-token context window and does not report a maximum output length.

What technical specifications are published for Bonsai 27B?+

Bonsai 27B's developer-published specifications include base model: Qwen3.6 27B; weight format: Binary Q1_0; effective bit width: 1 bit per weight; language model size: 3.53 GiB.

How large is Bonsai 27B?+

The current record lists 27B total parameters and an unknown active parameter count. Its architecture is not reported.

What capabilities and tasks does Bonsai 27B support?+

Bonsai 27B's recorded capabilities are chat, generation, reasoning, tools, and vision. Its supported tasks are image, reasoning, and text.

Is Bonsai 27B available through an API?+

Bonsai 27B is explicitly marked as not API-available in the current record.

How much does Bonsai 27B cost through an API?+

Bonsai 27B has no verified hosted API offering, so no provider token price applies. It is a downloadable or self-hosted artifact whose cost depends on the serving infrastructure and workload.

Can Bonsai 27B be self-hosted?+

Bonsai 27B is an open-weight model. Self-hosting is supported, and the recorded license is apache-2.0.

Does Bonsai 27B have related versions or aliases?+

No predecessor is recorded. No successor is recorded. Recorded aliases are prism-ml/Bonsai-27B, prism-ml/Bonsai-27B-gguf, and prism-ml/Bonsai-27B-mlx-1bit.

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