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AI 모델 84759

• Qwen3-4B-Thinking-heretic↗

  saidutta69

• polish-roberta-base-v2↗

  sdadas

• gpt-oss-120b-VISION-GGUF↗

  SoAIHQ

• Nori-30M↗

  Synthefy

  **Nori-30M** is the ~29.2M-parameter variant of Nori, a tabular foundation model for **regression** via in-context learning (ICL). Given a few labeled rows as context, it predicts on new query rows in a **single forward pass**, with no task-specific training or fine-tuning. The model is trained **entirely on synthetic data**. - **Documentation:** https://docs.synthefy.com/nori/ - **Repository:** https://github.com/Synthefy/synthefy-nori - **Library:** `pip install synthefy-nori` - **Checkpoint:** `nori.pt` (this repo) - **Parameters:** ~29.2M - **License:** Apache-2.0 Mean and median R² across 96 regression tasks from three public benchmark suites, on the same protocol as the base Nori:

• gLM2_650M↗

  tattabio

  gLM2 is a mixed-modality genomic language model, trained on the `OMG Dataset`. The model encodes a genomic scaffold with both both amino-acid and DNA tokens. gLM2 is a transformer encoder trained with the masked language modeling objective. It encodes a genomic contig as a sequence of protein coding sequences (CDS) and DNA inter-genic sequences (IGS). CDS elements are tokenized using per-amino acid tokens, and IGS elements are tokenized using per-nucleotide tokens. UPDATE(09/2024): We updated the model with longer context length (4096 tokens vs. 2048 tokens) and per-nucleotide IGS tokenization instead of BPE.

• Evo2-7B-1M↗

  Taykhoom

• chrono-q35x-r16a↗

  tempora-lab

• airoboros-l2-7B-gpt4-m2.0-GGUF↗

  TheBloke

• eva02_base_patch16_clip_224.merged2b↗

  timm

• fastvit_sa24.apple_dist_in1k↗

  timm