ai2-alliance/qwen3-coder-next-reap-48b-a3b-gguf overview

{
  "metadata": {},
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      "Qwen/Qwen3-Coder-Next"
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    "tags": [
      "text-generation-inference"
    ],
    "license": "apache-2.0",
    "frontmatter": {
      "base_model": [
        "Qwen/Qwen3-Coder-Next"
      ],
      "tags": [
        "text-generation-inference"
      ],
      "license": "apache-2.0"
    },
    "hero_image_url": "https://cdn-uploads.huggingface.co/production/uploads/68121d80da035a609e569a81/PUEUf6Zz1JToRJfgI7HMk.png",
    "summary": "!Qwen3-coder-next-reap **Qwen3-Coder-Next-REAP-48B-A3B** has the following specifications: **Number of Linear Attention Heads: 32 for V and 16 for QK **Head Dimension: 128 Test video 1 (agentic task) @Q4_K_XL : https://www.bilibili.com/video/BV1f8cNzcEHV/ Prompt: please clone the repository https://github.com/ggml-org/llama.cpp in /home/lovedheart/llama_ and review the PR 19435. Test video 2 -> fastllm (int8 quantization) approx. Q8_0 in GGUF : https://www.bilibili.com/video/BV1hwFJzXEVP/ Prompt: Create a cosmic nebula background using Three.js with the following requirements: a deep black space background with twinkling white stars; 2–3 large semi-transparent purple/pink nebula clouds with a smoky texture; slow rotation animation; optimized for white text display. Implementation details: 1. Starfield: 5000 white particles randomly distributed with subtle twinkling; 2. Nebula: 2–3 large purple particle clusters using additive blending mode; 3. Colors: #8B5CF6, #C084FC, #F472B6 (purple to pink gradient); 4. Animation: overall rotation.y += 0.001, stars' opacity flickering; 5. Setup: WebGLRenderer with alpha:true and black background.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model:\n- Qwen/Qwen3-Coder-Next\ntags:\n- text-generation-inference\nlicense: apache-2.0\n---\n\n\n\n![Qwen3-coder-next-reap](https://cdn-uploads.huggingface.co/production/uploads/68121d80da035a609e569a81/PUEUf6Zz1JToRJfgI7HMk.png)\n\n\n**Qwen3-Coder-Next-REAP-48B-A3B** has the following specifications:\n\n- **Type:** Causal Language Models\n- **Number of Parameters**: 48B in total and 3B activated\n- **Hidden Dimension**: 2048\n- **Number of Layers**: 48\n- **Hybrid Layout**: 12 * (3 * (Gated DeltaNet -> MoE) -> 1 * (Gated Attention -> MoE))\n- **Gated Attention**:\n- **Number of Attention Heads**: 16 for Q and 2 for KV\n- **Head Dimension**: 256\n- **Rotary Position Embedding Dimension**: 64\n- **Gated DeltaNet**:  \n  **Number of Linear Attention Heads: 32 for V and 16 for QK  \n  **Head Dimension: 128\n- **Mixture of Experts**:\n- **Number of Experts: 308 (uniformly pruned from 512)\n- **Number of Activated Experts: 10\n- **Number of Shared Experts: 1\n- **Context Length**: 262,144 natively\n- **Compression Method**: REAP (Router-weighted Expert Activation Pruning)\n- **Compression Ratio**: 40% expert pruning\n\nTest video 1 (agentic task) @Q4_K_XL : https://www.bilibili.com/video/BV1f8cNzcEHV/  \nPrompt: please clone the repository https://github.com/ggml-org/llama.cpp in /home/lovedheart/llama_ and review the PR 19435.\n\nTest video 2 -> fastllm (int8 quantization) approx. Q8_0 in GGUF : https://www.bilibili.com/video/BV1hwFJzXEVP/  \nPrompt: Create a cosmic nebula background using Three.js with the following requirements: a deep black space background with twinkling white stars; 2–3 large semi-transparent purple/pink nebula clouds with a smoky texture; slow rotation animation; optimized for white text display. Implementation details: 1. Starfield: 5000 white particles randomly distributed with subtle twinkling; 2. Nebula: 2–3 large purple particle clusters using additive blending mode; 3. Colors: #8B5CF6, #C084FC, #F472B6 (purple to pink gradient); 4. Animation: overall rotation.y += 0.001, stars' opacity flickering; 5. Setup: WebGLRenderer with alpha:true and black background.",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "text-generation-inference",
    "base_model:Qwen/Qwen3-Coder-Next",
    "base_model:quantized:Qwen/Qwen3-Coder-Next",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 2,
  "downloads": 148,
  "gated": false,
  "private": false,
  "last_modified": "2026-02-12T13:36:43.000Z",
  "created_at": "2026-02-12T13:36:43.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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  "createdAt": "2026-02-12T13:36:43.000Z",
  "lastModified": "2026-02-12T13:36:43.000Z",
  "author": "Ai2-Alliance",
  "downloads": 148,
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