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AI Models 84759

• mistral-7b-instruct-v0.2↗

  unsloth

• SauerkrautLM-gemma-2-2b-it↗

  VAGOsolutions

• wav2vec2-xls-r-300m-timit-phoneme↗

  vitouphy

  This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the Timit dataset. Check this notebook for training detail. **Approach 1:** Using HuggingFace's pipeline, this will cover everything end-to-end from raw audio input to text output. We use DARPA TIMIT dataset for this model. - We split into **80/10/10** for training, validation, and testing respectively. - That roughly corresponds to about **137/17/17** minutes. - The model obtained **7.996%** on this test set.

• FLUX.2-klein-4B-GGUF↗

  w3ss

• LENS-d4000↗

  yibinlei

• MonkeyOCRv2-B-Parsing↗

  zenosai

  * `2026.09.07` 🚀 MonkeyOCRv2-Parsing is now supported by RAGFlow as a PDF parser. Thanks to the RAGFlow team and community for the support! * `2026.08.22` 🖥️ We now support running MonkeyOCRv2-Parsing on CPU. See the CPU support instructions. * `2026.08.17` ⚡ Releasing training and evaluation instructions for Recognition, Detection, Overlapping Text Segmentation and Formula. * `2026.07.24` ⚡ We released MonkeyOCRv2-B-Parsing-DFlash, enabling vLLM serving with DFlash for up to 2× faster inference. * `2026.07.22` 🏆 MonkeyOCRv2-B-Parsing ranks #1 among evaluated open-source models on the official MDPBench Leaderboard, achieving 83.3 overall across 17 languages, including digital-born and photographed documents. * `2026.07.21` 📦 We release MonkeyDoc v2, an open multilingual corpus for document-oriented pretraining. We hope it can serve as a shared data foundation for more transparent, reproducible, and fair comparisons in Document AI. * `2026.07.14` 🚀 We release MonkeyOCRv2, including MonkeyOCRv2 vision encoder, MonkeyOCRv2-Parsing for multilingual document parsing, MonkeyOCRv2-Und for efficient document understanding. MonkeyOCRv2 is released as a standalone, document-native vision encoder. It can be integrated into different OCR and document AI systems as a visual backbone. The current release has been evaluated on document parsing, document understanding, text recognition, formula recognition, text detection, document tampering detection, and overlapping-text segmentation.

• ZeroTTS-GGUF↗

  zeroweight-ai

• opt-babylm-1.3b-20eps-seed964↗

  znhoughton

• TinyLlama-1.1B-2T-lr-2e-4-3ep-dolly-15k-instruct-v1-GGUF↗

  afrideva

• FLUX1-schnell-mlx-4bit↗

  AITRADER