{"slug": "ggufbench-qwen3-6-27b-4bpw-16gb-vram", "title": "ggufbench/qwen3.6-27b-4bpw-16gb-vram", "summary": "Hugging Bay has indexed external metadata for ggufbench/Qwen3.6-27B-4bpw-16GB-VRAM, a 12.6 GB quantized AI model under Apache-2.0 license, but the model is not yet hosted or trusted for download pending review. The artifact is listed as local-run friendly with 8-16 GB RAM/VRAM requirements and supports runners like Ollama and LM Studio.", "body_md": "# ggufbench/qwen3.6-27b-4bpw-16gb-vram\n\nggufbench/qwen3.6-27b-4bpw-16gb-vram: Qwen3.6-27B-4bpw-16GB-VRAM License: apache-2.0. external modelscope metadata. Scan: pending.\n\n- License\n- apache-2.0\n- Size\n- 12.6 GB\n- Demand\n- 347 upstream downloads\n- Trust\n- Needs review 0/100\n- Trusted download\n- External or needs review\n- Run fit\n- Local-run friendly with quantized files: 8-16 GB RAM/VRAM for many quantized or medium checkpoints\n- Files\n- 0 hosted / 0 total\n- Scan status\n- pending\n- Hosting status\n- external\n- Upstream\n- ggufbench/Qwen3.6-27B-4bpw-16GB-VRAM\n- Declared license\n- apache-2.0\n- Pipeline\n- general\n- Library\n- pytorch\n- Task categories\n- general\n\n## About this artifact\n\nExternal ModelScope model metadata for ggufbench/Qwen3.6-27B-4bpw-16GB-VRAM. Related arXiv: . Model files stay upstream; Hugging Bay indexes this metadata for discovery and provenance only.\n\n## Trusted download\n\nExternal or needs review. No Hugging Bay hosted download is available until source, license, and safety checks pass.\n\n- Hosted files\n- 0 of 0\n- Reviewed peer-assisted fallbacks\n- 0\n- Download plan\n[Download-plan JSON](/api/artifacts/modelscope-ggufbench-qwen3.6-27b-4bpw-16gb-vram/download-plan)- Trust bundle\n[Trust-bundle JSON](/api/trust-bundles/modelscope-ggufbench-qwen3.6-27b-4bpw-16gb-vram)- Review summary\n[Review-summary JSON](/api/artifacts/modelscope-ggufbench-qwen3.6-27b-4bpw-16gb-vram/review-summary)- Distribution\n[Reviewed peer-fallback JSON](/api/artifacts/modelscope-ggufbench-qwen3.6-27b-4bpw-16gb-vram/distribution)\n\n## Can I run this?\n\nLocal-run friendly with quantized files. 8-16 GB RAM/VRAM for many quantized or medium checkpoints. Prefer GGUF, safetensors, ONNX, or MLX files and verify the manifest before loading.\n\n- Estimated footprint\n- 12.6 GB\n- Suggested runners\n- Ollama, LM Studio, llama.cpp\n- Runtime files\n- 0\n- Local kit\n[Local run kit](/local-kit/modelscope-ggufbench-qwen3.6-27b-4bpw-16gb-vram)\n\nRun-fit warnings: No runtime weight file is indexed yet.; Hugging Bay is showing metadata only until reviewed hosted files exist.\n\n- License: pass - apache-2.0\n- Provenance: pass - ggufbench/Qwen3.6-27B-4bpw-16GB-VRAM\n- Scan: warn - pending\n- Hosted files: warn - external metadata only\n- Signed manifest: fail - not final yet\n- Community: warn - no reviews yet\n- Benchmarks: warn - no benchmark evidence\n\n## Machine-readable card\n\n[Open interactive artifact page](/#/artifact/modelscope-ggufbench-qwen3.6-27b-4bpw-16gb-vram)", "url": "https://wpnews.pro/news/ggufbench-qwen3-6-27b-4bpw-16gb-vram", "canonical_source": "https://huggingbay.xyz/artifact/modelscope-ggufbench-qwen3.6-27b-4bpw-16gb-vram", "published_at": "2026-07-02 17:03:47+00:00", "updated_at": "2026-07-11 02:44:20.651056+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-infrastructure"], "entities": ["ggufbench", "Qwen3.6-27B", "Hugging Bay", "Ollama", "LM Studio", "llama.cpp"], "alternates": {"html": "https://wpnews.pro/news/ggufbench-qwen3-6-27b-4bpw-16gb-vram", "markdown": "https://wpnews.pro/news/ggufbench-qwen3-6-27b-4bpw-16gb-vram.md", "text": "https://wpnews.pro/news/ggufbench-qwen3-6-27b-4bpw-16gb-vram.txt", "jsonld": "https://wpnews.pro/news/ggufbench-qwen3-6-27b-4bpw-16gb-vram.jsonld"}}