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AI 模型 84753

• Goekdeniz-Guelmez_-_Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1-gguf↗

  RichardErkhov

• KSU-HW-SEC_-_Deepseek_SFT_RL_Text_only-gguf↗

  RichardErkhov

• v000000_-_Qwen2.5-14B-Gutenberg-Instruct-Slerpeno-gguf↗

  RichardErkhov

• juggernaut_reborn↗

  scenario-labs

• internlm2_5-7b-chat-1m-GGUF↗

  second-state

• passage-ranker.strawberry↗

  sinequa

• Grok 4.6 (High)↗

  SpaceXAI

• chinese-wav2vec2-base↗

  TencentGameMate

  Pretrained on 10k hours WenetSpeech L subset. More details in TencentGameMate/chinese_speech_pretrain This model does not have a tokenizer as it was pretrained on audio alone. In order to use this model speech recognition, a tokenizer should be created and the model should be fine-tuned on labeled text data.

• DPOpenHermes-7B-v2-GGUF↗

  TheBloke

• convnext_large_mlp.clip_laion2b_soup_ft_in12k_in1k_320↗

  timm

  A ConvNeXt image classification model. CLIP image tower weights pretrained in OpenCLIP on LAION and fine-tuned on ImageNet-12k followed by ImageNet-1k in `timm` bby Ross Wightman. Please see related OpenCLIP model cards for more details on pretrain: * https://huggingface.co/laion/CLIP-convnext_xxlarge-laion2B-s34B-b82K-augreg-soup * https://huggingface.co/laion/CLIP-convnext_large_d.laion2B-s26B-b102K-augreg * https://huggingface.co/laion/CLIP-convnext_base_w-laion2B-s13B-b82K-augreg * https://huggingface.co/laion/CLIP-convnext_base_w_320-laion_aesthetic-s13B-b82K