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AI 模型 84759
- typhoon-7b-instruct-02-19-2024-i1-GGUF↗
mradermacher
- UnifiedReward-2.0-qwen35-27b-GGUF↗
mradermacher
- nb-wav2vec2-300m-bokmaal↗
NbAiLab
This model is finetuned on top of feature extractor VoxRex-model from the National Library of Sweden. The finetuned model achieves the following results on the test set with a 5-gram KenLM. The numbers in parentheses are the results without the language model: - **WER: 0.0703** (0.0979) - **CER: 0.0269** (0.0311) This is one of several Wav2Vec-models our team created during the 🤗 hosted Robust Speech Event. This is the complete list of our models and their final scores: In parallel with the event, the team also converted the Norwegian Parliamentary Speech Corpus (NPSC) to the NbAiLab/NPSC in 🤗 Dataset format and used that as the main source for training.
- v6-goldfish-25k-lower-shared-eng-ell-sequential_interleaved↗
nikitastheo
- llama2.c-stories110M-gsm8k-fp8_dynamic-compressed↗
nm-testing
- BEYOND_REALITY_Z_IMAGE↗
Nurburgring
更新lora训练适配器,注意,是本淡妆浓抹 3.0 模型的的lora训练专用,重点是diffusion,diffusion是新的训练才是新的,适配器是adapter,Rebuild版底模支持在此适配器上训练,可在aitoolkit中替换并微调自己专属lora。注意,不同于官方底模,是专用于本模型底模的训练适配器,感谢@Laushine制作,请改扩展名为ZIP后解压使用。 https://www.modelscope.cn/models/Nurburgring/BEYOND_REALITY_Z_IMAGE/summary?version=20260206135410 Nunchaku量化版 by tonera(感谢): https://modelscope.cn/models/tonera/Beyond_Reality_Zimage_v2_svdq/summary NVFP4量化以及采样器搭配 by miccodadada(感谢): 本人实测,AuraFlow3.5 - 5,首选euler a+FlowMatchEulerDiscreteScheduler,其次是ZImagePowerNodes自带的采样器,然后是DEIS_2M + BONG_TONGENT,追求泛用性的话是Sa_solver+FlowMatchEulerDiscrete,人像的话也可以试试ER_SDE+(sgm_uniform/FlowMatch)。 我自己制作了它的NVFP4混合量化,FEED FORWARD 123层采用NVFP4,其余注意力采用FP8 Per-Tensor量化(目前Comfyui暂时不支持BlockWise量化),质量下降在可接受范围内。在5070上,9步采样时间大概2.8-3.6秒。https://huggingface.co/lieding1994/zimage-serverless/blob/main/BEYOND-REALITY-BF16_learned_fp8mixed_tensor.safetensors
- PixelDiT-1300M-1024px↗
NVIDIA
- Qwen3.8-27B-DevSecOps-QLoRA↗
outbackdingo
- PP-DocLayoutV2_safetensors↗
PaddlePaddle
- 5DSgWRdFHXYKyqKWFL8NtQZ3dxMMnoWvFsbRG1XLEdojLqJ6_vgg↗
PassionFriend
