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AI モデル 84760

• Magnolia-Mell-v1-12B-GGUF↗

  grimjim

• oss-jev-qwen05-decision-smoke↗

  gyanbhambhani

• gigaam-v3-e2e-ctc-gguf↗

  handy-computer

  GGUF conversions of ai-sage/GigaAM-v3 for use with transcribe.cpp. Ported from upstream commit cec030b, pinned 2026-05-12. Validated against the gigaam author package reference at transcribe.cpp commit 0fff13f8 on 2026-10-15. Offline Russian speech-to-text with greedy CTC decoding. 16-layer Conformer encoder with a 1×1 Conv1d CTC head. Output is cased Russian with punctuation, decoded from a 256-piece SentencePiece tokenizer.

• bosun-v3.1-0.6b↗

  Hanno-Labs

• Hy-Embodied-0.5-VLA-UMI↗

  腾讯

• 20261016_rar-medicine_static_qwen3-4b_norm3200_impl-verl_s11_step-057↗

  HYU-NLP-EVAL

• Ring-2.5-1T↗

  inclusionAI

• e5-large-v2↗

  intfloat

  Below is an example to encode queries and passages from the MS-MARCO passage ranking dataset. Please refer to our paper at https://arxiv.org/pdf/2212.03533.pdf. Check out unilm/e5 to reproduce evaluation results on the BEIR and MTEB benchmark.

• Qwen3.5-9B-Q4_K_M-GGUF↗

  jc-builds

  > **4-bit quantized GGUF** of Qwen/Qwen3.5-9B optimized for **on-device iOS inference** via llama.cpp. The most capable model you can run on an iPhone. This model is available directly in the HaploAI iOS app (v1.18+). Download it from the model selection page. The 9B model **beats Qwen3-80B** on GPQA Diamond (81.7 vs 77.2), IFEval (91.5 vs 88.9), and HMMT math (83.2 vs 73.7). It also **outperforms GPT-OSS-120B** on MMLU-Pro (82.5 vs 80.8) and GPQA Diamond (81.7 vs 80.1).

• jina-embeddings-v5-omni-small-text-matching↗

  jinaai