Qwen3.6-35B-A3B-MTP-GGUF
Hagwell基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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Qwen3.8-27B-GGUF
Hagwell基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗wan-1.3b-gguf
Hagwell基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗my-furniture-detector
hahaohoahaoloaf基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗moondream2-20250414-GGUF
Hahasb基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗The_GuageLLM_23M
Hai929GuageLLM-23M is a lightweight GPT-style language model (~23 million parameters) trained from scratch for experimentation, learning, and fast local inference. This model is designed to be simple, transparent, and easy to run on CPUs while still demonstrating real transformer behavior. - **Architecture:** GPT-2 style (decoder-only transformer) - **Parameters:** ~23M - **Context Length:** 64 tokens - **Vocabulary Size:** Custom tokenizer - **Training:** From scratch - **Framework:** 🤗 Transformers (PyTorch)
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View details ↗FLUX.1-schnell-GGUF
Haijun-AI基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗google__gemma-2-2b-it
Haijun-AI基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗roberta-tiny-cased
haisongzhang基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗camn_audio
haiyangliu0基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗emage_audio
haiyangliu0基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Decomposer-Qwen3-8B
haiyewon基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗xlnet-japanese
hajime9652基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gpt2-turkish-cased
hakanbogan基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.8-4B-Distill-GGUF
hakergeniusz基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.8-4B-Heretic-GGUF
hakergeniusz基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.8-9B-Distill-GGUF
hakergeniusz基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗vit-base-nsfw-detector
hakl36This model is a fine-tuned version of vit-base-patch16-384 on around 25_000 images (drawings, photos...). It achieves the following results on the evaluation set: - Loss: 0.0937 - Accuracy: 0.9654 ** New [07/30] **: I created a new ViT model specifically to detect NSFW/SFW images for stable diffusion usage (read the disclaimer below for the reason): **AdamCodd/vit-nsfw-stable-diffusion**. **Disclaimer**: This model wasn't made with generative images in mind! There is no generated image in the dataset used here, and it performs significantly worse on generative images, which will require another ViT model specifically trained on generative images. Here are the model's actual scores for generative images to give you an idea: - Loss: 0.3682 (↑ 292.95%) - Accuracy: 0.8600 (↓ 10.91%) - F1: 0.8654 - AUC: 0.9376 (↓ 5.75%) - Precision: 0.8350 - Recall: 0.8980
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Qwen3.5-9B-Kimi-k3-Distilled-oQ6e-mtp
hakunokina基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gpt-j-random-tinier
hakurei基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗waifu-diffusion
hakurei基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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