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ggml-org/qwen3-30b-a3b-instruct-2507-q8_0-gguf q8_0 GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

ggml-org/qwen3-30b-a3b-instruct-2507-q8_0-gguf overview

This model was converted to GGUF format from Qwen/Qwen3-30B-A3B-Instruct-2507 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

transformersggufllama-cppgguf-my-repotext-generationbase_model:Qwen/Qwen3-30B-A3B-Instruct-2507base_model:quantized:Qwen/Qwen3-30B-A3B-Instruct-2507license:apache-2.0endpoints_compatibleregion:usconversational
ggml-org/qwen3-30b-a3b-instruct-2507-q8_0-gguf visual
Downloads
109
Likes
1
Pipeline
text-generation
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

1 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
qwen3-30b-a3b-instruct-2507-q8_0.gguf GGUF 30.25 GB Download

Model Details Live

Model Slug
ggml-org/qwen3-30b-a3b-instruct-2507-q8_0-gguf
Author
ggml-org
Pipeline Task
text-generation
Library
transformers
Created
2025-09-22
Last Modified
2025-09-22
Gated
No
Private
No
HF SHA
c44c6e74a5f720e4f933d6e6fba8aa0b8f4e8a1d
License
apache-2.0
Language
Unknown
Base Model
Qwen/Qwen3-30B-A3B-Instruct-2507

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "library_name": "transformers",
    "license": "apache-2.0",
    "license_link": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507/blob/main/LICENSE",
    "pipeline_tag": "text-generation",
    "base_model": "Qwen/Qwen3-30B-A3B-Instruct-2507",
    "tags": [
      "llama-cpp",
      "gguf-my-repo"
    ],
    "frontmatter": {
      "library_name": "transformers",
      "license": "apache-2.0",
      "license_link": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507/blob/main/LICENSE",
      "pipeline_tag": "text-generation",
      "base_model": "Qwen/Qwen3-30B-A3B-Instruct-2507",
      "tags": [
        "llama-cpp",
        "gguf-my-repo"
      ]
    },
    "hero_image_url": "",
    "summary": "This model was converted to GGUF format from Qwen/Qwen3-30B-A3B-Instruct-2507 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlibrary_name: transformers\nlicense: apache-2.0\nlicense_link: https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507/blob/main/LICENSE\npipeline_tag: text-generation\nbase_model: Qwen/Qwen3-30B-A3B-Instruct-2507\ntags:\n- llama-cpp\n- gguf-my-repo\n---\n\n# ggml-org/Qwen3-30B-A3B-Instruct-2507-Q8_0-GGUF\nThis model was converted to GGUF format from [`Qwen/Qwen3-30B-A3B-Instruct-2507`](https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.\nRefer to the [original model card](https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507) for more details on the model.\n\n## Use with llama.cpp\nInstall llama.cpp through brew (works on Mac and Linux)\n\n```bash\nbrew install llama.cpp\n\n```\nInvoke the llama.cpp server or the CLI.\n\n### CLI:\n```bash\nllama-cli --hf-repo ggml-org/Qwen3-30B-A3B-Instruct-2507-Q8_0-GGUF --hf-file qwen3-30b-a3b-instruct-2507-q8_0.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo ggml-org/Qwen3-30B-A3B-Instruct-2507-Q8_0-GGUF --hf-file qwen3-30b-a3b-instruct-2507-q8_0.gguf -c 2048\n```\n\nNote: You can also use this checkpoint directly through the [usage steps](https://github.com/ggml-org/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.\n\nStep 1: Clone llama.cpp from GitHub.\n```\ngit clone https://github.com/ggml-org/llama.cpp\n```\n\nStep 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).\n```\ncd llama.cpp && LLAMA_CURL=1 make\n```\n\nStep 3: Run inference through the main binary.\n```\n./llama-cli --hf-repo ggml-org/Qwen3-30B-A3B-Instruct-2507-Q8_0-GGUF --hf-file qwen3-30b-a3b-instruct-2507-q8_0.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo ggml-org/Qwen3-30B-A3B-Instruct-2507-Q8_0-GGUF --hf-file qwen3-30b-a3b-instruct-2507-q8_0.gguf -c 2048\n```\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "llama-cpp",
    "gguf-my-repo",
    "text-generation",
    "base_model:Qwen/Qwen3-30B-A3B-Instruct-2507",
    "base_model:quantized:Qwen/Qwen3-30B-A3B-Instruct-2507",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 109,
  "gated": false,
  "private": false,
  "last_modified": "2025-09-22T19:17:10.000Z",
  "created_at": "2025-09-22T15:06:42.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "68d16602559941de2da352e0",
  "id": "ggml-org/Qwen3-30B-A3B-Instruct-2507-Q8_0-GGUF",
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  "sha": "c44c6e74a5f720e4f933d6e6fba8aa0b8f4e8a1d",
  "createdAt": "2025-09-22T15:06:42.000Z",
  "lastModified": "2025-09-22T19:17:10.000Z",
  "author": "ggml-org",
  "downloads": 109,
  "likes": 1,
  "gated": false,
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  "pipeline_tag": "text-generation",
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  "siblings_count": 3
}