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Ternary Bonsai 2 27B 模型现已可本地使用

prism-ml/Ternary-Bonsai-2-27B-gguf 模型现已可与各种本地应用程序和推理提供商一起使用。提供了将模型与 llama.cpp、vLLM、Ollama、LM Studio 和 Jan 等工具集成的说明。还可以通过 Google Colab 和 Kaggle 上的笔记本,或直接通过 Docker 容器来使用该模型。 AI

影响 促使 Ternary Bonsai 2 27B 模型在各种本地人工智能开发环境中得到更广泛的采用和实验。

排序理由 该条目描述了一个特定语言模型与各种本地应用程序和推理提供商的可用性和集成,而不是来自前沿实验室的发布。

在 Hugging Face Trending Models 阅读 →

AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →

Ternary Bonsai 2 27B 模型现已可本地使用

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该条目描述了一个特定语言模型与各种本地应用程序和推理提供商的可用性和集成,而不是来自前沿实验室的发布。
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model release, product
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High
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57 days old
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完整方法见我们的编辑标准。

报道来源 [4]

  1. Hugging Face Trending Models TIER_1 English(EN) · prism-ml ·

    prism-ml/Ternary-Bonsai-2-27B-mlx-2bit

    text-generation · 5,056 downloads · 187 likes

  2. Hugging Face Trending Models TIER_1 Bahasa(ID) · prism-ml ·

    prism-ml/Ternary-Bonsai-2-27B-gguf

    text-generation · 0 downloads · 120 likes

  3. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    PrismML 发布 Ternary Bonsai 2 27B:一个 5.9 GB 的 Apache 2.0 模型,性能保留 Qwen3.8 27B 的 98.2%

    <p>PrismML has released Ternary Bonsai 2 27B, a ternary-weight version of Qwen3.8 27B. The language model occupies 5.93 GB, against 53.80 GB in FP16. PrismML reports that it keeps 98.2% of the parent model&#8217;s average across 20 benchmarks. The model accepts text and images an…

  4. r/LocalLLaMA TIER_1 Bahasa(ID) · /u/No-Name-Person111 ·

    Ternary Bonsai 2 27B

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wj84nz/ternary_bonsai_2_27b/"> <img alt="Ternary Bonsai 2 27B" src="https://external-preview.redd.it/k_jo0fSw0KPoiAiQ_oH0NjKkkQVIlCZ2GtdXO-mwEs0.png?width=640&amp;crop=smart&amp;auto=webp&amp;s=95a6dcf73bac1a…