qwen3-4b-Z-Image-Engineer-V2-6bit-MLX
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qwen3-4b-Z-Image-Engineer-V2-8bit-MLX
BennyDaBall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 ↗Qwen3-4b-Z-Image-Engineer-V4
BennyDaBallV4 still rocks as the original Qwen3 prompt-engineer build. The new V6 release is the native Z-Image Turbo text-encoder build, rebuilt with SMART DoRA and trained locally for ComfyUI drop-in use plus LM Studio prompt enhancement. This is Z-Engineer V4, the culmination of extensive research into what makes an AI prompt engineer actually *good* at its job. Built on the Qwen 3 architecture and trained using a novel **SMART Training** methodology, this 4B parameter model doesn't just describe scenes—it understands the craft of visual storytelling down to the lens flare. Z-Engineer V4 is a fully fine-tuned (not LoRA, we went *all in*) version of the text encoder from Tongyi-MAI/Z-Image-Turbo. It's been specifically trained to understand the nuances of AI Image Generation workflows.
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View details ↗Qwen3-4b-Z-Image-Turbo-AbliteratedV1
BennyDaBallThis is the **abliterated** version of the Z-Image-Turbo text encoder. I took the **p-e-w heretic method** and hammered it through **1000 trials**, specifically targeting **BOTH** image generation refusals and those peskier general refusals. The result? - **KL Divergence:** A tiny `0.0004` (basically no lobotomy! 🧠✨) - **Refusal Rate:** Only `4/100` in my torture tests. Brought to you by the same chaotic good energy behind: - Z-Image-Engineer-V2.5 - The original Z-Image-Engineer
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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 ↗Qwen3.8-Uncensored-NVFP4-MTP
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View details ↗Qwopus3.8-27B-Flash-NVFP4
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View details ↗Z-Image-Engineer-V6
BennyDaBall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 ↗Z-Image-Engineer-V6-GGUF
BennyDaBallThe main repo contains the merged HF safetensors. This repo contains the quant ladder for the ComfyUI-Z-Engineer node, LM Studio, ComfyUI `CLIPLoaderGGUF`, llama.cpp-style loaders, and local prompt-enhancement workflows. **Z-Image-Engineer V6** is a SMART DoRA fine-tuned 4B Qwen text encoder from `Tongyi-MAI/Z-Image-Turbo`. The comparison examples were generated from direct LM Studio user requests like this, with no separate system prompt. `V6_SYSTEM_PROMPT.md` is included only as an optional preset for people who want a stricter prompt-only chat setup.
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View details ↗HH-RM-Qwen
BensonW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 ↗MiMo-V2.6-Flash-RL-exl3
benthecarman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 ↗tritfold-1.7b-stacked-ptq1_0
benzeng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 ↗gemma-ko-7b
beomi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 ↗kcbert-base
beomi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 ↗KcELECTRA-base
beomi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 ↗KcELECTRA-base-v2022
beomi공개된 한국어 Transformer 계열 모델들은 대부분 한국어 위키, 뉴스 기사, 책 등 잘 정제된 데이터를 기반으로 학습한 모델입니다. 한편, 실제로 NSMC와 같은 User-Generated Noisy text domain 데이터셋은 정제되지 않았고 구어체 특징에 신조어가 많으며, 오탈자 등 공식적인 글쓰기에서 나타나지 않는 표현들이 빈번하게 등장합니다. KcELECTRA는 위와 같은 특성의 데이터셋에 적용하기 위해, 네이버 뉴스에서 댓글과 대댓글을 수집해, 토크나이저와 ELECTRA모델을 처음부터 학습한 Pretrained ELECTRA 모델입니다. > 💡 이전 KcBERT 관련 코드들에서 `AutoTokenizer`, `AutoModel` 을 사용한 경우 `.from_pretrained("beomi/kcbert-base")` 부분을 `.from_pretrained("beomi/KcELECTRA-base")` 로만 변경해주시면 즉시 사용이 가능합니다.
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View details ↗kcgpt2
beomi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 ↗llama-2-ko-7b
beomi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 ↗Llama-3-Open-Ko-8B
beomi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 ↗OPEN-SOLAR-KO-10.7B
beomi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 ↗Yi-Ko-6B
beomi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 ↗recipesptbr
beothorn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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