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Explore AI models 85001
Swift-1.5-Qwen3.8-27B-GPTQ-W4A16-embed-int4-24GB
JRamirez-UAB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 ↗A custom hybrid quantization of the **Qwen3.8-27B** base model, specifically designed to fit **Multi-Token Prediction (MTP)** and long context into a strict **16GB VRAM hardware budget** (like consumer RTX 4080 / RTX 5080 cards).
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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 ↗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 ↗Audio8-TTS-Preview-0.6b-GGUF
js-byteGGUF conversion of **Audio8/Audio8-TTS-Preview-0.6b** for audio.cpp. No new training. **Original checkpoint:** 0.6B DualAR — Slow 24×896 (14 heads, 2 KV), Fast 4×896, 10×4096 codebooks, 44.1 kHz codec (2048 samples/frame), 2048 context. Languages: yue/zh/nl/en/fr/de/it/ja/ko/pl/es/auto. See original model card for details and evaluation. Both embed `config.json`, `tokenizer.json`, `tokenizer_config.json` and `model_specs/audio8_tts.json`. `q8_0` is the recommended default.
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View details ↗Aztec-Coder-4B
jsbaicenter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 ↗JSBAI-Coder-4B
jsbaicenter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 ↗makandal-multiple-v2
jsbeaudry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 ↗MixtureofMerges-MoE-4x7b-v4 is a Mixure of Experts (MoE) made with the following models using LazyMergekit: * flemmingmiguel/MBX-7B-v3 * Kukedlc/NeuTrixOmniBe-7B-model-remix * PetroGPT/WestSeverus-7B-DPO * vanillaOVO/supermario_v4
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View details ↗MixtureofMerges-MoE-4x7b-v5 is a Mixure of Experts (MoE) made with the following models using LazyMergekit: * paulml/OmniBeagleSquaredMBX-v3-7B-v2 * mlabonne/AlphaMonarch-7B * Kukedlc/Neural4gsm8k * eren23/dpo-binarized-NeutrixOmnibe-7B
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View details ↗bloom-560m-finetuned-fraud
jslin09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 ↗simpletuner-josh-test01
jsterlingvids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 ↗This is a SciBERT-based model fine-tuned to perform Named Entity Recognition for drug names and adverse drug effects. - `B-DRUG`: beginning of a drug entity - `I-DRUG`: within a drug entity - `B-EFFECT`: beginning of an AE entity - `I-EFFECT`: within an AE entity - `O`: outside either of the above entities To get started using this model for inference, simply set up an NER `pipeline` like below:
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View details ↗moep
Jtapsa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 ↗txtcaptcha-crnn
jtrecenti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 ↗mtp-qwen-3.8-flash-IQ2
juan1995-dev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 ↗Qwen3.6-35B-A3B-AutoRound-GGUF
juan1995-dev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 ↗Qwen3.6-35B-A3B-UD-Q4_K_M_GGUF
juan1995-dev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 ↗jazzmus-model
JuanCarlosMartinezSevilla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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