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Deutsch(DE) Tencent stellt Hy3-FP8 vor: die FP8-Quantisierung des 295B-Parameter-MoE-Modells mit 21B aktiven Parametern. Apache-2.0-Lizenz, 256K Kontextfenster und native v

Tencent releases Hy3 MoE model with 256K context window

By PulseAugur Editorial · [3 sources] ·

Tencent has released Hy3, an Apache 2.0 licensed Mixture-of-Experts (MoE) model. This model boasts 295 billion total parameters with 21 billion active parameters and utilizes a 3.8 billion parameter MTP layer. Hy3 supports a 256K context window and can be served using vLLM or SGLang with an OpenAI-compatible API. An FP8 quantized variant, Hy3-FP8, is also available, which further reduces VRAM consumption. AI

IMPACT This release offers a large context window and efficient serving options for a powerful MoE model, potentially impacting research and application development.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Tencent releases Hy3 MoE model with 256K context window

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Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=2 ai=1.0]
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COVERAGE [3]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Tencent: Hy3 is free on Openrouter.ai until July 21st Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing)

    Tencent: Hy3 is free on Openrouter.ai until July 21st Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort: a d…

  2. Mastodon — mastodon.social TIER_1 Deutsch(DE) · aisyndicate ·

    Tencent Hy3 is an Apache 2.0 licensed MoE model with 295B total parameters and 21B active parameters. It uses a 3.8B MTP layer and offers 256K context

    Tencent Hy3 ist ein Apache-2.0-lizenziertes MoE-Modell mit 295B Gesamtparametern und 21B aktiven Parametern. Es nutzt eine 3,8B MTP-Schicht und bietet 256K Kontext. Serving über vLLM oder SGLang mit OpenAI-API, FP8-Variante verfügbar. https:// huggingface.co/tencent/Hy3 # KI # AI…

    LINKS huggingface.co/…/Hy3
  3. Mastodon — mastodon.social TIER_1 Deutsch(DE) · aisyndicate ·

    Tencent introduces Hy3-FP8: FP8 quantization of the 295B parameter MoE model with 21B active parameters. Apache-2.0 license, 256K context window, and native v

    Tencent stellt Hy3-FP8 vor: die FP8-Quantisierung des 295B-Parameter-MoE-Modells mit 21B aktiven Parametern. Apache-2.0-Lizenz, 256K Kontextfenster und native vLLM-/SGLang-Anbindung reduzieren den VRAM-Verbrauch für den Betrieb. https:// huggingface.co/tencent/Hy3-FP8 # KI # AI #…

    LINKS huggingface.co/…/Hy3-FP8

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