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llama.cpp v0.6.0 adds new batch API and GLM-5.3-Flash model support

By PulseAugur Editorial · [1 sources] ·

The latest release of llama.cpp, version 0.6.0, introduces a new extended batch API called llama_batch_ext. This update allows for mixed token and embedding batches, along with per-token state embeddings for Multi Token Prediction (MTP) and deepstack models. Additionally, the release adds support for the GLM-5.3-Flash (GLM5-Next) 320B text and vision hybrid model, as well as the Clef decision model which handles both text and vision inputs. AI

IMPACT Enhances inference capabilities for large language models with improved batch processing and support for new hybrid and decision models.

RANK_REASON This is a software release for an open-source project focused on AI model inference, including new features and model support. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

llama.cpp v0.6.0 adds new batch API and GLM-5.3-Flash model support

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This is a software release for an open-source project focused on AI model inference, including new features and model support. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. Mastodon — mastodon.social TIER_1 English(EN) · whatsnew_fyi ·

    llama.cpp v0.6.0 New llama_batch_ext extended batch API with llama_process supporting mixed token/embedding batches and per-token state embeddings for MTP and d

    llama.cpp v0.6.0 New llama_batch_ext extended batch API with llama_process supporting mixed token/embedding batches and per-token state embeddings for MTP and deepstack models; Support for the GLM-5.3-Flash (GLM5-Next) 320B text and vision hybrid model; Support for the Clef decis…

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