enacimie/qwen3-4b-q4_k_m-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.
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enacimie/qwen3-4b-q4_k_m-gguf overview
This model was converted to GGUF format from Qwen/Qwen3-4B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
Downloads
552
Likes
1
Pipeline
text-generation
Library
transformers
Visibility
Public
Access
Open
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4 files detected
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Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"library_name": "transformers",
"license": "apache-2.0",
"license_link": "https://huggingface.co/Qwen/Qwen3-4B/blob/main/LICENSE",
"pipeline_tag": "text-generation",
"base_model": "Qwen/Qwen3-4B",
"tags": [
"llama-cpp",
"gguf-my-repo"
],
"frontmatter": {
"library_name": "transformers",
"license": "apache-2.0",
"license_link": "https://huggingface.co/Qwen/Qwen3-4B/blob/main/LICENSE",
"pipeline_tag": "text-generation",
"base_model": "Qwen/Qwen3-4B",
"tags": [
"llama-cpp",
"gguf-my-repo"
]
},
"hero_image_url": "",
"summary": "This model was converted to GGUF format from Qwen/Qwen3-4B 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/Qwen3-4B/blob/main/LICENSE\npipeline_tag: text-generation\nbase_model: Qwen/Qwen3-4B\ntags:\n- llama-cpp\n- gguf-my-repo\n---\n\n# enacimie/Qwen3-4B-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`Qwen/Qwen3-4B`](https://huggingface.co/Qwen/Qwen3-4B) 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/Qwen3-4B) 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 enacimie/Qwen3-4B-Q4_K_M-GGUF --hf-file qwen3-4b-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo enacimie/Qwen3-4B-Q4_K_M-GGUF --hf-file qwen3-4b-q4_k_m.gguf -c 2048\n```\n\nNote: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/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/ggerganov/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 enacimie/Qwen3-4B-Q4_K_M-GGUF --hf-file qwen3-4b-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo enacimie/Qwen3-4B-Q4_K_M-GGUF --hf-file qwen3-4b-q4_k_m.gguf -c 2048\n```\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"base_model:Qwen/Qwen3-4B",
"base_model:quantized:Qwen/Qwen3-4B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 1,
"downloads": 552,
"gated": false,
"private": false,
"last_modified": "2025-12-30T01:53:03.000Z",
"created_at": "2025-04-29T21:31:22.000Z",
"pipeline_tag": "text-generation",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6811452ae8a3493171e31204",
"id": "enacimie/Qwen3-4B-Q4_K_M-GGUF",
"modelId": "enacimie/Qwen3-4B-Q4_K_M-GGUF",
"sha": "9a8dc1e09ceca0c1419d6879ba35fea96eecb206",
"createdAt": "2025-04-29T21:31:22.000Z",
"lastModified": "2025-12-30T01:53:03.000Z",
"author": "enacimie",
"downloads": 552,
"likes": 1,
"gated": false,
"private": false,
"pipeline_tag": "text-generation",
"library_name": "transformers",
"siblings_count": 6
}