jnjj/qwen3-0.6b-q2_k-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
jnjj/qwen3-0.6b-q2_k-gguf overview
This model was converted to GGUF format from unsloth/Qwen3-0.6B using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
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Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| qwen3-0.6b-q2_k.gguf | GGUF | Q2_K | 282.52 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "unsloth/Qwen3-0.6B",
"tags": [
"unsloth",
"llama-cpp",
"gguf-my-repo"
],
"frontmatter": {
"base_model": "unsloth/Qwen3-0.6B",
"tags": [
"unsloth",
"llama-cpp",
"gguf-my-repo"
]
},
"hero_image_url": "",
"summary": "This model was converted to GGUF format from unsloth/Qwen3-0.6B 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": "---\nbase_model: unsloth/Qwen3-0.6B\ntags:\n- unsloth\n- llama-cpp\n- gguf-my-repo\n---\n\n# jnjj/Qwen3-0.6B-Q2_K-GGUF\nThis model was converted to GGUF format from [`unsloth/Qwen3-0.6B`](https://huggingface.co/unsloth/Qwen3-0.6B) 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/unsloth/Qwen3-0.6B) 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 jnjj/Qwen3-0.6B-Q2_K-GGUF --hf-file qwen3-0.6b-q2_k.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo jnjj/Qwen3-0.6B-Q2_K-GGUF --hf-file qwen3-0.6b-q2_k.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 jnjj/Qwen3-0.6B-Q2_K-GGUF --hf-file qwen3-0.6b-q2_k.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo jnjj/Qwen3-0.6B-Q2_K-GGUF --hf-file qwen3-0.6b-q2_k.gguf -c 2048\n```\n",
"related_quantizations": []
},
"tags": [
"gguf",
"unsloth",
"llama-cpp",
"gguf-my-repo",
"base_model:unsloth/Qwen3-0.6B",
"base_model:quantized:unsloth/Qwen3-0.6B",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 185,
"gated": false,
"private": false,
"last_modified": "2025-05-03T21:46:08.000Z",
"created_at": "2025-05-03T08:04:29.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6815ce0d943b722a0acd747c",
"id": "jnjj/Qwen3-0.6B-Q2_K-GGUF",
"modelId": "jnjj/Qwen3-0.6B-Q2_K-GGUF",
"sha": "b23b038b3a03929a4922263c872b37e2c014e127",
"createdAt": "2025-05-03T08:04:29.000Z",
"lastModified": "2025-05-03T21:46:08.000Z",
"author": "jnjj",
"downloads": 185,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "",
"siblings_count": 3
}