rubertconv_toxic_clf
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View details ↗DISCOVER & COMPARE
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rut5_base_headline_gen_telegram
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View details ↗rut5_base_sum_gazeta
IlyaGusev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 ↗saiga_gemma3_12b_gguf
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View details ↗saiga_llama3_8b
IlyaGusevBased on Llama-3 8B Instruct. Colab: link I've changed the prompt format from ChatML to **the original Llama-3 format in v4**. Don't forget to switch formats!
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View details ↗saiga_llama3_8b_gguf
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View details ↗saiga_mistral_7b_gguf
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View details ↗saiga_nemo_12b_gguf
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View details ↗saiga_yandexgpt_8b_gguf
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View details ↗saiga2_7b_gguf
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View details ↗sainemo_remix_12b_gptq_8bit
IlyaGusev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 ↗tiny-random-DeepseekV3-FP8
IlyasMoutawwakil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 ↗tiny-random-DeepseekV4-Flash
IlyasMoutawwakil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 ↗tiny-random-GlmMoeDsa-NVFP4
IlyasMoutawwakil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 ↗tiny-random-GlmMoeDsa-NVFP4-all-linears
IlyasMoutawwakil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 ↗tiny-random-GptOss-MXFP4
IlyasMoutawwakil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 ↗tiny-random-llama
IlyasMoutawwakil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 ↗tiny-random-Llama-NVFP4
IlyasMoutawwakil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 ↗tiny-random-LlavaForConditionalGeneration
IlyasMoutawwakil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 ↗tiny-random-MiniMaxM3-MXFP8
IlyasMoutawwakil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 ↗tiny-random-Mistral3-FP8-static
IlyasMoutawwakil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 ↗tiny-random-Mistral4-FP8-static
IlyasMoutawwakil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 ↗tiny-random-Qwen3-FP8
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View details ↗byt5-leetspeak-decoder
ilyyeees**The definitive byte-level translator for leetspeak, internet slang, and visual character obfuscation.** Built on `google/byt5-base`, **V3** represents a major architectural shift from previous versions. It utilizes **Curriculum Learning** and **Adversarial Filtering** to solve the complex context ambiguity between leetspeak numbers (e.g., "2" meaning "to") and actual quantities (e.g., "2 cats"). V3 is the first model in this series to perfectly distinguish between numbers used as letters and numbers used as quantities within the same sentence. * **Input:** `1t5 2 l8 4 2 people` * **V2 Output:** *It's to late for to people.* (Fail) * **V3 Output:** *It is too late for 2 people.* (Pass)
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