<div style="display: flex; justify-content: center; gap: 10px;"> <a href="https://github.

<br> <p align="center"> <img src=".

LegacyRemaster on /r/LocalLLaMA

cjami on /r/LocalLLaMA

Yet another reusable writing skill for Chinese technical documentation and product copy.

One-command VPS proxy fleet management: deploy 3x-ui + VLESS+Reality, auto-generate Clash/Mihomo subscriptions

switch2stock on /r/StableDiffusion

Recommended way to run this model: ```sh llama-server -hf ggml-org/gemma-4-31B-it-GGUF ``` Then, access http://localhost:8080

Pyrenaeda on /r/LocalLLaMA

This is a GGUF-quantized version of Qwen3.

【Hermes WebUI】Hermes-Agent 中文版 WebUI，便于中国用户使用。由 https://github.com/nesquena/hermes-webui 修改而来

**WildDet3D** is a promptable monocular 3D object detection model that detects and localizes objects in 3D from a single RGB image.

- 04-12-2026: The Q4_K_M I uploaded seems to have some issues, the PPL / KLD was throwing `nan` so I'll remove the model for now and try to get a working quant up tomorrow.

Excalidraw Generator is a flexible diagram design skill for creating and editing Excalidraw figures. It can generate structured visuals from descriptions, revise existing diagrams, adapt layouts to journal, conference, or slide-deck conventions, and apply custom styles defined by the user.

Scaling Autonomous Research in Medical Image Segmentation

CLI for audio, video, and text transcription with ASR providers and LLM-powered summarization via local or cloud backends.

Ctrl+Scroll font zoom for all IDA views — Disassembly, Pseudocode, Hex View, Imports, Exports, Functions, Strings, and more. Compatible IDA Pro 8.x — 9.3+.

campari.mirko@gmail.com

## Model Overview huihui-ai/Huihui3.

undesirable_12 on /r/MachineLearning

一个基于 FastAPI 的小红书内容自动化项目

Official PyTorch implementation of GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers (NeurIPS 2025)

Snapchat browser x api reg

Connect DaVinci Resolve Studio to Claude AI through the Model Context Protocol (MCP)

Multi-speaker script to audio using local TTS. Excellent quality, zero cost, one command.

M2.

NIM4CC 是一个面向公开使用的 NVIDIA NIM 兼容网关，目标是把 NIM 的 chat/completions 能力转换成更易接入的上层协议，并补上模型目录缓存、调用统计和健康度看板。

Session intelligence for Claude Code - find extra token usage, why your sessions fail, and how to fix it.

**TurboQuant KV-cache quantization** applied to google/gemma-4-E4B, enabling dramatically reduced memory usage during inference without modifying model weights.

<div align="center" style="display: flex; justify-content: center; align-items: center; text-align: center;"> <a href="https://afnext-umd-nvidia.

Multi-agent architecture for Opencode — cost-optimized model routing, parallel specialist execution, dev tools, and a self-maintaining project wiki

A vulnerability where an application exposes internal objects (like database records, files, or user IDs) directly in the URL or request parameters without proper access control.

**SurgMotion** is a video-native surgical foundation model that learns spatiotemporal representations by predicting latent motion rather than reconstructing pixels.

This is an uncensored version of google/gemma-4-E2B-it created with abliteration (see remove-refusals-with-transformers to know more about it).

<!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: --> <!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K...

security-slm-unsloth-1.

- **Model Architecture:** Qwen3_5MoeForConditionalGeneration - **Input:** Text - **Output:** Text - **Supported Hardware Microarchitecture:** AMD MI300 MI350/MI355 - **ROCm**: 7.

SurgMotion-G is the ViT-Giant-xformer checkpoint of SurgMotion, a video-native foundation model for universal understanding of surgical videos.

<p align="center"> 🌐 <a href="https://github.

## Abliteration parameters | Parameter | Value | | :-------- | :---: | | **direction_index** | per layer | | **attn.

GGUF quantizations of ManniX-ITA/gemma-4-A4B-98e-v3-it — Gemma 4 26B pruned to 98 experts per layer (from 128).

**Squeez-2B** is a 2B parameter model fine-tuned from Qwen 3.

**APEX (Adaptive Precision for EXpert Models)** quantizations of MiniMax-M2.

This is a sentence-transformers model finetuned from NbAiLab/nb-bert-large.

The model has been completely re-trained from the ground up to be more stable, expressive, and structurally sound.

If you're interested in accessing the fully fine-tuned version of this model, feel free to reach out via the Discussions section. > Note: Access may be provided for a fee ($100).

iOverFit on /r/MachineLearning

red_dhinesh_it on /r/MachineLearning

fleebrun83 on /r/MachineLearning

LocksmithAlone242 on /r/MachineLearning

Stvident on /r/MachineLearning