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Daily brief2026-09-28 UTC
ElevenLabs introduced v4 Turbo, a low-latency text-to-speech model, and v4, which offers controls for directing speech delivery. Both support more than 90 languages. [1] [2] New releases include Julia 1 and Lumma-Fev-4B, decision models that score supplied options, and Jev-Omni, an open-weight multimodal decision classifier. [3] [7] [8] Anthropic launched Claude Sonnet 5.5, available through the Claude API and several cloud platforms. Aratako released Irodori-TTS-v4-Large, a Japanese speech model with voice cloning and design features. [4] [5] Hcompany introduced Holo4-27B for software interaction, while Xiaomi MiMo released MiMo-V2.6-Pro-MOPD for multimodal tasks and agent workflows. IQuest-Q1 targets agentic coding, reasoning and tool use. [6] [9] [10]
ggml-org released llama.cpp v0.5.0 with performance and conversion updates, plus improvements to server and router robustness. [11] The llama.cpp b11149 pre-release adds a backend option to test-llama-archs and includes assets and CI attestations across operating systems, architectures and backends. [12]
Each numbered link above points to one of these catalog records, with its sources.
Eleven v4 Turbo is a low-latency text-to-speech model that combines expressive speech generation with faster response times. It supports more than 90 languages and is designed to work with ElevenLabs’ conversational agents platform.
Sources: ElevenLabs
Eleven v4 is a text-to-speech model designed to interpret tone, pacing, emotion, character, and context. It supports more than 90 languages and includes controls for directing speech delivery with natural-language prompts and audio tags.
Sources: ElevenLabs
Julia 1 is a 144.3M-parameter decision model based on JHU CLSP's mmBERT-small, released with checkpoint weights and inference code. It scores supplied answer options for classification, routing, ordered scores, and Boolean decisions; it is not a text-generation model.
Sources: Hugging Face
Anthropic launched Claude Sonnet 5.5 as a new model version. It is available through the Claude API and several cloud platforms.
Sources: Anthropic
Irodori-TTS-v4-Large is a Japanese text-to-speech model that supports voice cloning and voice design using text, reference speech, and caption text. It also supports emoji-based style control and integrates invisible audio watermarking.
Sources: Hugging Face
Holo4-27B is a 27B dense agentic model that interacts with software through GUIs, code, MCP and APIs. It is available through the H Models API and as downloadable weights.
Sources: Hugging Face
Lumma-Fev-4B reads a document or other state together with typed questions and returns probability distributions in a single forward pass. It does not generate text, and its weights are available under Apache-2.0.
Sources: Hugging Face
Jev-Omni is an open-weight multimodal decision classifier built on Gemma 4 12B IT and fine-tuned on 30,000 questions. It returns probabilities for supplied options rather than generating an explanation.
Sources: Hugging Face
MiMo-V2.6-Pro-MOPD is a multimodal sparse MoE model with 1.02T total parameters, 42B activated parameters, and a context length of up to 1M tokens. Its MOPD training combines domain-specialized teachers and is intended to reduce repeated tool calls in agentic settings.
Sources: Hugging Face
IQuest-Q1 is a text-only Mixture-of-Experts model developed for agentic coding, reasoning, and multi-step tool use. It has approximately 320 billion total parameters, with an estimated 15 billion activated per token, and a context length of 524,288 tokens.
Sources: Hugging Face
llama.cpp v0.5.0 is a new release of the open-source C/C++ inference library and server for running GGML-format models locally and on servers. The release adds performance optimizations, expanded model/format conversion support, server/router robustness improvements, and UI/server feature updates.
The server can split RANK-pooling inputs for causal rerankers, enabling chunked prefill for long-document and multimodal reranking.
Sources: GitHub watchlist, GitHub watchlist, GitHub watchlist
llama.cpp b11149 is a pre-release of the open-source C++ inference library that provides local runtimes and build artifacts for running LLMs across many platforms and backends. This release adds a -b/--backend option to test-llama-archs and ships assets and CI attestations for numerous OS/architecture/backend combinations.
The server can split RANK-pooling inputs for causal rerankers, enabling chunked prefill for long-document and multimodal reranking.
Sources: GitHub watchlist, GitHub watchlist, GitHub watchlist
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Written by openai/gpt-6-luna from the catalog records listed here; every sentence cites the records it rests on. Which records a brief covers is decided by fixed rules: the new developments and major releases of the window with the strongest evidence.
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