全站搜索

AI 模型 84759

• switchboard-router-0.5b-ONNX↗

  switchboardllm

• Qwen3.8-27B-FP8-block-AWQ↗

  TelperionAI

• Mistral-7B-Instruct-v0.2-DARE-GGUF↗

  TheBloke

• SG-Raccoon-Yi-55B-GGUF↗

  TheBloke

• refcontrol-FLUX.2-klein-9B-reference-pose-lora↗

  thedeoxen

  A LoRA for **FLUX.2 Klein 9B Base** that fuses a **reference image** (identity) with a **pose control map** (skeleton / keypoints). It preserves **identity and style** from the reference while following the **body pose and structure** from the pose map. Each preview is a **single combined image** from ComfyUI: **Pose → Reference → Result** (left to right). This LoRA was primarily trained on **humans**, but it also works with **stylized characters** and some objects. Its main purpose is to **preserve identity** — facial features, hairstyle, clothing, or object details — from the reference image, while adapting the subject to the **pose and skeleton structure** defined by the control map.

• nl2sh-1.5b-Q4_K_M↗

  ThorOdinson246

  A 941 MB model that turns a plain-English request into a single shell command. It runs on CPU through `llama.cpp` and answers in about a second. No GPU required. This is Qwen2.5-Coder-1.5B-Instruct with a LoRA fine-tune (r=32, α=64) trained on 125,770 natural-language/shell pairs, merged into the base weights and quantized to GGUF Q4_K_M. Built for **whatisit**, a local command-line tool, but usable with any `llama.cpp` runtime.

• TinyLlama-1.1B-Chat-v0.1↗

  TinyLlama

• Udgam-384M-Base-4K↗

  udgamlabs

• Phi-3-medium-4k-instruct↗

  unsloth

• VecGlypher-27b-it-Q4_K_M-GGUF↗

  wahidmounir