HuatuoGPT-3-Grader-8B
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HuatuoGPT-o1-7B
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View details ↗HuatuoGPT-o1-8B
FreedomIntelligence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 ↗HuatuoGPT-Vision-7B
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View details ↗HuatuoGPT-Vision-7B-hf
FreedomIntelligence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 ↗HuatuoGPT-Vision-7B-Qwen2.5VL
FreedomIntelligence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 ↗HuatuoGPT2-7B
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View details ↗openPangu-Embedded-7B-V1.1
FreedomIntelligence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 ↗UsefulLocalModels
freeideas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 ↗modernbert-embed-base_finetune_512
freelawprojectThis is a sentence-transformers model finetuned from nomic-ai/modernbert-embed-base. It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. - **Model Type:** Sentence Transformer - **Base model:** nomic-ai/modernbert-embed-base - **Maximum Sequence Length:** 8192 tokens - **Output Dimensionality:** 768 dimensions - **Similarity Function:** Cosine Similarity - **Documentation:** Sentence Transformers Documentation - **Repository:** Sentence Transformers on GitHub - **Hugging Face:** Sentence Transformers on Hugging Face
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View details ↗modernbert-embed-base_finetune_8192
freelawproject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 ↗Qwen3.8-27B-GGUF
FreeMangione221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 ↗AxionML-Qwen3.5-9B-NVFP4-GGUF
Freenixi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 ↗flux.1-lite-8B
Freepik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 ↗flux.1-lite-8B-alpha
Freepik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 ↗nsfw_image_detector
Freepik- Model Description - Try it Online! - Model Performance Comparison - Global Performance - Accuracy by AI Content - AI-Generated Content - Non-AI-Generated Content - Usage - Quick Start via pip - Quick Start with Pipeline - Avoid installation of pip dependency - Training - Speed and Memory Metrics This model is a vision transformer based on the **EVA architecture**, fine-tuned for **NSFW content classification**. It has been trained to detect **four categories** (neutral, low, medium, high) of visual content using **100,000 synthetically labeled images**. The model can be used as a **binary (true/false) classifier if desired, or you can obtain the full output probabilities.**. It **outperforms other excellent publicly available models** such as Falconsai/nsfw_image_detection or AdamCodd/vit-base-nsfw-detector in our internal benchmarks adding the enrichment of being able to select the NSFW level that suits your use case.
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View details ↗Qwen3.5-2B-FP8
Freesolo-Co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 ↗Qwen3.5-4B-FP8
Freesolo-Co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-FP8
Freesolo-Co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 ↗free-evo-qwen72b-v0.8-re
freewheelinYou need two models with the same architecture. - Choose one model and fine-tune it to create a gap between the original model and the fine-tuned one. It doesn't matter whether the evaluation score is higher or lower. - Merge the two models. - Evaluate the merged model. - Fine-tune a specific evaluation part of the model if you need to increase the score for that part. (It's unlikely to work as you think, but you can try it.) - Merge the models again. - Evaluate again. - Keep going until the average evaluation score is higher than the original one.
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View details ↗free-llama3-dpo-v0.2
freewheelin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 ↗free-solar-evo-v0.1
freewheelin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 ↗free-solar-evo-v0.11
freewheelin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 ↗free-solar-evo-v0.13
freewheelin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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