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AI Models 84753

• 11c↗

  zeras141a

• tamil-llama-7b-instruct-v0.1↗

  abhinand

• aya-expanse-8b-ungated↗

  adamo1139

• deberta-v3-base-readability-v2↗

  agentlans

• inst_ft_qwen_0.6b_summ↗

  aipatseer

• YuFeng-XGuard-Reason-8B↗

  Alibaba-AAIG

• E2Rank-0.6B↗

  Alibaba-NLP

• gte-large-en-v1.5↗

  Alibaba-NLP

  We introduce `gte-v1.5` series, upgraded `gte` embeddings that support the context length of up to **8192**, while further enhancing model performance. The models are built upon the `transformer++` encoder backbone (BERT + RoPE + GLU). The `gte-v1.5` series achieve state-of-the-art scores on the MTEB benchmark within the same model size category and prodvide competitive on the LoCo long-context retrieval tests (refer to Evaluation). We also present the `gte-Qwen1.5-7B-instruct`, a SOTA instruction-tuned multi-lingual embedding model that ranked 2nd in MTEB and 1st in C-MTEB.

• Olmo-3-32B-Think-SFT↗

  allenai

• Dolphin3.0-Llama3.1-8B↗

  Andycurrent