Ternary Bonsai 2 27B
PulseGate's liveness check found it on 7 Oct 2026; it is registered on GitHub, the App Store and Hugging Face and has been in the index since 26 Jun 2026. How this is checked
Ternary-Bonsai-2-27B-mlx-2bit is an open model repository containing a 2-bit MLX quantization of a 27-billion-parameter language model. It is intended for developers running text and vision-capable inference locally on Apple silicon using MLX-compatible tooling.
Inferred · not functionally tested
Overview
6 featuresPurpose: Running a capable language model locally with reduced memory and compute requirements.
Inferred · not functionally tested
Audience: developers and machine learning practitioners
Inferred · not functionally tested
Functions: code_generation, agents
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: free · license: Apache-2.0 · platforms: CLI, WEB · deployment: browser, ios
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: prismml.com · github.com · apps.apple.com. These links do not verify the individual claims.
Ternary Bonsai 2 27B is a Foundation models & chat project. Inferred · not functionally tested: It focuses on running a capable language model locally with reduced memory and compute requirements. Inferred · not functionally tested: Ternary Bonsai 2 27B is an open-source project aimed at developers and machine learning practitioners. Basis unknown · not verified: Ternary Bonsai 2 27B costs nothing to use. Basis unknown · not verified: It runs on the web and iOS.
Behind Ternary Bonsai 2 27B is prism-ml, based in the United States, and it first shipped in 2026. Development happens publicly on GitHub with 869 stars and 79 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include 2-bit Quantization, MLX Format, and Local Inference.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- 2-bit Quantization
- MLX Format
- Local Inference
- Vision Support
- Text Generation
- Apple Silicon Support
Topics: Inferred · not functionally tested
Built with & integrations
- Claude Code
- commit b43ac1bc897c · since Sep 2026
- local_oss
- huggingface in the HTML
- Cloudflare
- cf-ray header · cf-cache-status header
- meta_llama
- llama- in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed7 Oct · 15:51 UTCprism-ml/Ternary-Bonsai-2-27B-mlx-2bit seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Ternary Bonsai 2 27B
- What is Ternary Bonsai 2 27B?
- Inferred · not functionally tested: Ternary Bonsai 2 27B focuses on running a capable language model locally with reduced memory and compute requirements. It is catalogued under Foundation models & chat on PulseGate.
- Who should use Ternary Bonsai 2 27B?
- Inferred · not functionally tested: Ternary Bonsai 2 27B is an open-source project built for developers and machine learning practitioners.
- Is Ternary Bonsai 2 27B free?
- Basis unknown · not verified: Yes — Ternary Bonsai 2 27B is free to use.
- What platforms does Ternary Bonsai 2 27B run on?
- Basis unknown · not verified: Ternary Bonsai 2 27B runs on the web and iOS.
- Is Ternary Bonsai 2 27B still active?
- PulseGate's liveness check found it on 7 Oct 2026. Its GitHub repository shows 79 commits in the last 90 days.
- Who makes Ternary Bonsai 2 27B?
- Ternary Bonsai 2 27B is developed by prism-ml, based in the United States.
- How long has Ternary Bonsai 2 27B been around?
- Ternary Bonsai 2 27B first shipped in 2026.
- Is Ternary Bonsai 2 27B open source?
- Basis unknown · not verified: Ternary Bonsai 2 27B has a public GitHub repository.
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