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LangChain updates core library; new llama.cpp fork aims to reduce inference time

By PulseAugur Editorial · [2 sources] ·

LangChain has released version 1.7.0 of its core library, introducing a change in how tool-call arguments are streamed. Instead of receiving full block-delta snapshots, users will now receive tool-call-delta slices for streamed arguments, which may require adjustments for those reading raw stream events. Separately, a fork of llama.cpp called AbliteratedOutTheBox has been developed, which aims to "obliterate" models during inference without requiring fine-tuning or additional VRAM. AI

IMPACT LangChain's update may affect developers integrating streaming tool calls, while the llama.cpp fork aims to improve inference efficiency for local LLM users.

RANK_REASON The cluster contains a software library release and a fork of an existing project, neither of which represent a frontier release, significant industry move, or academic research.

Read on LangChain — Releases →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LangChain updates core library; new llama.cpp fork aims to reduce inference time

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Tool
The cluster contains a software library release and a fork of an existing project, neither of which represent a frontier release, significant industry move, or academic research.
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2 independent sources
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product, infra
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20 days old
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COVERAGE [2]

  1. LangChain — Releases TIER_1 English(EN) · github-actions[bot] ·

    langchain-core==1.7.0

    <p>Changes since langchain-core==1.6.13</p> <p>release(core): 1.7.0 (<a class="issue-link js-issue-link" href="https://github.com/langchain-ai/langchain/pull/41418">#41418</a>)<br /> feat(core): emit <code>tool-call-delta</code> for streamed tool-call args (<a class="issue-link j…

  2. r/LocalLLaMA TIER_1 English(EN) · /u/AccountAntique9327 ·

    Inference time abliteration

    <!-- SC_OFF --><div class="md"><p>AbliteratedOutTheBox is a llama.cpp fork that abliterates any model you load, live at inference, with no fine-tuning and no extra files.</p> <p>This eliminates any hassle of abliteration without requiring any more vram. </p> <p><a href="https://g…

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