Qwen3.8-Flash-Next-NVFP4-reshard-mtp-fix
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Swift-1.5-Qwen3.8-27b-oQ5e-bf16-mtp-MLX
dicksondickson基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Swift-1.5-Qwen3.8-27b-oQ5e-fp16-mtp
dicksondickson基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Swift-1.5-Qwen3.8-27b-oQ6e-bf16-mtp-MLX
dicksondickson基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Swift-1.5-Qwen3.8-27b-oQ6e-fp16-mtp
dicksondickson基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Swift-1.5-Qwen3.8-27b-oQ8e-bf16-mtp-MLX
dicksondickson基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Swift-1.5-Qwen3.8-27b-oQ8e-fp16-mtp
dicksondickson基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗RusMind-3.2-Momentum
DICPlay基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗RusMind-3.2-Vspyshka
DICPlay基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗RusMind-3.5.1-Momentum
DICPlay基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗RusMind-3.5-Vspyshka
DICPlay基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗RusMind-4.5.4-Momentum
DICPlay基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗RusMind-4.6.5-Momentum
DICPlay基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗RusMind-4.7-Momentum
DICPlay基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗RusMind-Malysh-4.7
DICPlay基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗RusMind-Momentum
DICPlay**Национальный ИИ от DICPlay.** Самая лёгкая модель семейства RusMind — работает прямо на устройстве, без интернета. Здесь собраны все сохранённые версии: от первой до текущей. Сокол 4.7 — новая модель RusMind с режимом размышлений: прежде чем ответить, он продумывает задачу шаг за шагом. При 8,9 млрд параметров в независимом бенчмарке MERA v2 — **0,279**: - **топ-2 российская модель*** — выше только GigaChat 3.5 Reasoning от Сбера; - **обходит гигантский GigaChat 3.5 Ultra от Сбера** — модель на 432 млрд параметров, в 48 раз больше; - **выше T-pro и T-lite от Т-Банка**, A-Vibe от Авито и других российских моделей; сложные инструкции выполняет в 8 раз точнее T-pro; - **№1 среди всех моделей до 10 млрд параметров** — с большим отрывом, сразу в пяти зачётах.
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View details ↗RusMind-Vspyshka
DICPlay**Национальный ИИ от DICPlay.** Вспышка 4.7 — №2 среди всех моделей до 10 млрд параметров в независимом бенчмарке MERA v2 (0,191), сразу после RusMind Сокол. Работает на устройстве, без интернета: пишет, объясняет, помогает с учёбой и кодом на мощных ПК и флагманских телефонах. Здесь собраны все сохранённые версии. Сокол 4.7 — новая модель RusMind с режимом размышлений: прежде чем ответить, он продумывает задачу шаг за шагом. При 8,9 млрд параметров в независимом бенчмарке MERA v2 — **0,279**: **Что такое MERA.** MERA (Multimodal Evaluation for Russian-language Architectures) — ведущий независимый бенчмарк русскоязычных нейросетей. Его ведёт **Альянс в сфере искусственного интеллекта**, который основали Сбер, Яндекс, МТС, VK, «Газпром нефть» и РФПИ. Методологию разработала команда SberDevices вместе с академическими партнёрами, над версиями бенчмарка работали специалисты **Сбера, MTS AI, Сколтеха и НИУ ВШЭ**. В рейтинге — GigaChat от Сбера, T-lite и T-pro от Т-Банка, A-Vibe от Авито, модели Google, Alibaba, Mistral и других. Правильные ответы на тестовые задания участникам не показывают: результат считает сама платформа MERA, поэтому подогнать его нельзя. Все цифры ниже — из MERA: открыть рейтинг.
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View details ↗RusMind-Vspyshka-4.7
DICPlay基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗BEREL_3.0
dicta-ilAvi Shmidman, Joshua Guedalia, Shaltiel Shmidman, Cheyn Shmuel Shmidman, Eli Handel, Moshe Koppel, "Introducing BEREL: BERT Embeddings for Rabbinic-Encoded Language", Aug 2022 [arXiv:2208.01875] > NOTE: This code will **not** work and provide bad results if you use `BertTokenizer`. Please use `AutoTokenizer` or `BertTokenizerFast`.
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View details ↗dictabert
dicta-il基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗dictabert-joint
dicta-ilState-of-the-art language model for Hebrew, released here. - Prefix Segmentation - Morphological Disabmgiuation - Lexicographical Analysis (Lemmatization) - Syntactical Parsing (Dependency-Tree) - Named-Entity Recognition A live demo of the model with instant visualization of the syntax tree can be found here.
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View details ↗dictabert-large
dicta-il基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗dictabert-large-char
dicta-ilDictaBERT-large-char is a BERT-style language model for Hebrew, based on the BERT-Large architecture with a character level tokenizer. This model is a BERT-Large adaptation of our BERT-Base Hebrew Character model (https://huggingface.co/dicta-il/dictabert-char), released in our 2025 W-NUT paper: Avi Shmidman and Shaltiel Shmidman, "Restoring Missing Spaces in Scraped Hebrew Social Media", The 10th Workshop on Noisy and User-generated Text (W-NUT), 2025 The model is pretrained with the masked-language-modeling objective, on a character basis. For a fine-tuned version of this model which is trained to produce Hebrew diacritization (nikud), see: https://huggingface.co/dicta-il/dictabert-large-char-menaked
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View details ↗dictabert-large-char-menaked
dicta-il基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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