Identity
- Status
- active
- Developer ID
prism-ml/Ternary-Bonsai-4B- Released
- Apr 18, 2026
- Version
- Ternary Bonsai 4B
- License
- apache-2.0
PrismMLTernary Bonsai 4B
PrismML's ternary 4B text model for low-memory edge deployments.
- Token context
- 33K tokens
- Inputs
- Text
- Outputs
- Text
- Released
- Apr 18, 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
Capacity
- Token context
- 33K tokens
- Maximum output
- Unknown
- Total parameters
- 4B
- Active parameters
- Unknown
- Knowledge cutoff
- Not reported
Interface and Access
- Inputs
- Text
- Outputs
- Text
- API available
- No
- Open weights
- Yes
- Self-hostable
- Yes
- Reasoning
- No
- Vision
- No
- Tool calling
- No
- Capabilities
- chat, generation
Technical Specifications
- Weight format
- Ternary Q2_0
- Effective bit width
- 1.58 bits per weight
- Weight size
- 1.07 GB
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/Ternary-Bonsai-4B, prism-ml/Ternary-Bonsai-4B-gguf, prism-ml/Ternary-Bonsai-4B-mlx-2bit
Explicit Unknowns
- Maximum output
- Architecture
- Tokenizer
- Knowledge cutoff
Primary Evidence
Sources and Observation Date
Comparable Peers
Related Model Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Ternary Bonsai 4BPrismML | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
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Ternary Bonsai 4BPrismML | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs |  DeepSeek V4.1 FlashDeepSeek | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs | Grok 4.6xAI | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs |  Qwen3.8 MaxQwen | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs |  Kimi K3Moonshot AI | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs |  MiniMax M3MiniMax | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs |  GLM 5.3Z.ai | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs |  Hy4 previewTencent | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs | cross-developer peerstext | |
Ternary Bonsai 4BPrismML | vs |  Nova 2 LiteAmazon | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs | cross-developer peerstext | |
Ternary Bonsai 4BPrismML | vs |  ERNIE 5.1Baidu | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs | cross-developer peerstext | |
Ternary Bonsai 4BPrismML | vs | cross-developer peerstext | |
Ternary Bonsai 4BPrismML | vs |  Phi-4 ReasoningMicrosoft | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs | cross-developer peerstext | |
Ternary Bonsai 4BPrismML | vs |  Sonar ProPerplexity | cross-developer peerstext |
Ternary Bonsai 4BPrismML | vs | Claude Mythos 5.1Anthropic | cross-developer peerstext |
Questions
Ternary Bonsai 4B FAQs
What is Ternary Bonsai 4B?+
PrismML's ternary 4B text model for low-memory edge deployments. It is developed by PrismML and its current sourced lifecycle status is active.
What inputs and outputs does Ternary Bonsai 4B support?+
Ternary Bonsai 4B's current record lists Text as input and Text as output.
How much context does Ternary Bonsai 4B support?+
The current record lists a 33K-token context window and does not report a maximum output length.
What technical specifications are published for Ternary Bonsai 4B?+
Ternary Bonsai 4B's developer-published specifications include weight format: Ternary Q2_0; effective bit width: 1.58 bits per weight; weight size: 1.07 GB.
How large is Ternary Bonsai 4B?+
The current record lists 4B total parameters and an unknown active parameter count. Its architecture is not reported.
What capabilities and tasks does Ternary Bonsai 4B support?+
Ternary Bonsai 4B's recorded capabilities are chat and generation. Its supported tasks are text.
Is Ternary Bonsai 4B available through an API?+
Ternary Bonsai 4B is explicitly marked as not API-available in the current record.
How much does Ternary Bonsai 4B cost through an API?+
Ternary Bonsai 4B 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 Ternary Bonsai 4B be self-hosted?+
Ternary Bonsai 4B is an open-weight model. Self-hosting is supported, and the recorded license is apache-2.0.
Does Ternary Bonsai 4B have related versions or aliases?+
No predecessor is recorded. No successor is recorded. Recorded aliases are prism-ml/Ternary-Bonsai-4B, prism-ml/Ternary-Bonsai-4B-gguf, and prism-ml/Ternary-Bonsai-4B-mlx-2bit.