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AI 모델 84759

• stablelm-2-tiny-random↗

  yujiepan

• FreeSolo-341M↗

  zekun-shi

• Yi-1.5-34B-Chat-16K↗

  01-ai

  Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples. Compared with Yi, Yi-1.5 delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension. Model | Context Length | Pre-trained Tokens | :------------: | :------------: | :------------: | | Yi-1.5 | 4K, 16K, 32K | 3.6T

• segformer_fashion↗

  1038lab

• dolphin-2_6-phi-2_oasst2_chatML_V2-GGUF↗

  afrideva

• cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp10-base↗

  agurung

• AHN-DN-for-Qwen-2.5-Instruct-3B↗

  字节跳动

• clm-200m↗

  AICrossSim

• christina-model-1000-small-files↗

  alltrue-ai

• Trinity-Mini↗

  arcee-ai

  Trinity Mini is an Arcee AI 26B MoE model with 3B active parameters. It is the medium-sized model in our new Trinity family, a series of open-weight models for enterprise and tinkerers alike. This model is tuned for reasoning, but in testing, it uses a similar total token count to competitive instruction-tuned models. Trinity Mini is trained on 10T tokens gathered and curated through a key partnership with Datology, building upon the excellent dataset we used on AFM-4.5B with additional math and code.