全站搜索
AI 模型 85003
- jpalgo_-_jp-3k-shlow-qft-v1-gguf↗
RichardErkhov
- bge-reranker-v2-m3↗
rozgo
- Krea2-realism-V2↗
RudySen
Headline: V2 is finally here! Things got a little wild (in the best way possible) 🚀 What's changed? I’ve put a lot of work into making this version feel more "real." You'll notice much better textures, lighting, and composition. I also focused heavily on the faces—no more "death stares!" Everything feels way more natural now. It also plays very nicely with other character LoRAs. How to prompt: It works with any style, but it really shines when you use natural language. Try writing a short paragraph (4–5 sentences) describing the scene. If you have something specific in mind, put it in the prompt; if not, let the LoRA surprise you!
- Qwen3.8-27B-Heretic-Abliterated-Uncensored-GGUF↗
Ryn1998
**RVN** is a double-refined abliterated variant of **Qwen3.8-27B**, built on top of `trohrbaugh/Qwen3.8-27B-heretic-ara` (an ARA abliteration by **Tim Rohrbaugh**) and further refined with **two additional full-weight ARA passes** targeting residual refusals. It retains very low behavioral damage (KL ≈ 0.0085) while reducing harmful-prompt refusals from 3/100 (source) to **0–1/100** in independent measurements. > **Note on this repository's history.** This repo previously hosted the original > `Qwen3.8-27B-Heretic-Q4_K_M.gguf` (single-quant release from the earlier > `trohrbaugh/Qwen3.8-27B-heretic` source). That file is kept as **legacy** for > download-count continuity and backward compatibility — it is the *older* abliteration > variant and is superseded by the RVN files below. Prefer the RVN quants for new > deployments. > **Not for all audiences.** This model has reduced safety guardrails by design. It is > intended for adult audiences (18+) doing research, creative writing, roleplay, and > uncensored generation. Certain guardrails are intentionally left in place; use > responsibly and in accordance with your local laws.
- gemma-4-12b-it-GGUF↗
sebidev
- Qwen2.5-VL-32B-Instruct-GGUF↗
second-state
- shisa-v2.1-llama3.2-3b↗
shisa-ai
- SongGeneration-v2-large-gguf↗
smthem
- spkrec-resnet-voxceleb↗
speechbrain
This repository provides all the necessary tools to perform speaker verification with a pretrained ResNet TDNN model using SpeechBrain. The system can be used to extract speaker embeddings as well. It is trained on Voxceleb 1 + Voxceleb2 training data. For a better experience, we encourage you to learn more about SpeechBrain. The model performance on Voxceleb1-test set(Cleaned) is: This system is composed of an ResNet TDNN model. The system is trained with Additive Margin Softmax Loss. Speaker Verification is performed using cosine distance between speaker embeddings.
- flux.1-dev-abliterated-V2-GGUF↗
t8star