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AI Models 84760

• Qwen3-1.7B-NPU2↗

  OpenFlowLM

• CapRL-Qwen3VL-2B-GGUF↗

  prithivMLmods

• Qwen-Image-2.1-PE-I2I-GGUF↗

  prithivMLmods

  > **Qwen-Image-2.1-PE-I2I** is an image-editing prompt rewriting model for Qwen-Image-2.1, a fine-tuned Qwen3.5-VL-9B that takes a vague editing instruction plus one or more input images and expands it into a precise, actionable prompt suitable for downstream image editing. It supports multi-image inputs (referenced as ` `, ` `, etc.) for tasks like compositing a subject from one image into another's scene, reasons through a ` ` block before outputting a structured JSON result containing the rewritten prompt plus either a `wh_ratio` (new aspect ratio for compositions) or `ratio_follow` (inherited aspect ratio for in-place edits) — the two fields being mutually exclusive. The rewritten prompt is designed to feed directly into the Qwen-Image-2.1 diffusion pipeline via Diffusers for the actual image edit, and the model is loaded through standard Transformers (`AutoModelForImageTextToText`) with a system prompt shipped alongside the checkpoint; it's released under the Qwen Research License Agreement. > [!NOTE] System Prompt — https://huggingface.co/Qwen/Qwen-Image-2.1-PE-I2I/blob/main/system_prompt.txt File Name | Quant Type | File Size | File Link | |-----------|------------|-----------|-----------| | Qwen-Image-2.1-PE-I2I.BF16.gguf | BF16 | 17.9 GB | Download | | Qwen-Image-2.1-PE-I2I.Q3_K_L.gguf | Q3_K_L | 4.93 GB | Download | | Qwen-Image-2.1-PE-I2I.Q3_K_M.gguf | Q3_K_M | 4.62 GB | Download | | Qwen-Image-2.1-PE-I2I.Q4_K_M.gguf | Q4_K_M | 5.63 GB | Download | | Qwen-Image-2.1-PE-I2I.Q4_K_S.gguf | Q4_K_S | 5.35 GB | Download | | Qwen-Image-2.1-PE-I2I.Q5_K_M.gguf | Q5_K_M | 6.47 GB | Download | | Qwen-Image-2.1-PE-I2I.Q5_K_S.gguf | Q5_K_S | 6.31 GB | Download | | Qwen-Image-2.1-PE-I2I.mmproj-bf16.gguf | mmproj-bf16 | 922 MB | Download |

• Swin-Small↗

  qualcomm

• BioMistral-DARE-NS-GGUF↗

  QuantFactory

• MAmmoTH2-7B-GGUF↗

  QuantFactory

• CodeQwen1.5-7B-Chat↗

  阿里巴巴 · Qwen

• Qwen3-Next-80B-A3B-Thinking-GGUF↗

  阿里巴巴 · Qwen

  Over the past few months, we have observed increasingly clear trends toward scaling both total parameters and context lengths in the pursuit of more powerful and agentic artificial intelligence (AI). We are excited to share our latest advancements in addressing these demands, centered on improving scaling efficiency through innovative model architecture. We call this next-generation foundation models **Qwen3-Next**. **Qwen3-Next-80B-A3B** is the first installment in the Qwen3-Next series and features the following key enchancements: - **Hybrid Attention**: Replaces standard attention with the combination of **Gated DeltaNet** and **Gated Attention**, enabling efficient context modeling for ultra-long context length. - **High-Sparsity Mixture-of-Experts (MoE)**: Achieves an extreme low activation ratio in MoE layers, drastically reducing FLOPs per token while preserving model capacity. - **Stability Optimizations**: Includes techniques such as **zero-centered and weight-decayed layernorm**, and other stabilizing enhancements for robust pre-training and post-training. - **Multi-Token Prediction (MTP)**: Boosts pretraining model performance and accelerates inference. We are seeing strong performance in terms of both parameter efficiency and inference speed for Qwen3-Next-80B-A3B: - Qwen3-Next-80B-A3B-Base outperforms Qwen3-32B-Base on downstream tasks with 10% of the total training cost and with 10 times inference throughput for context over 32K tokens. - Leveraging GSPO, we have addressed the stability and efficiency challenges posed by the hybrid attention mechanism combined with a high-sparsity MoE architecture in RL training. Qwen3-Next-80B-A3B-Thinking demonstrates outstanding performance on complex reasoning tasks, not only **surpassing Qwen3-30B-A3B-Thinking-2507 and Qwen3-32B-Thinking**, but also **outperforming the proprietary model Gemini-2.5-Flash-Thinking** across multiple benchmarks.

• octo-small-1.5↗

  rail-berkeley

• mergekit-community_-_mergekit-slerp-janrfan-gguf↗

  RichardErkhov