cd /news/artificial-intelligence/ggufbench-qwen3-6-27b-4bpw-16gb-vram · home topics artificial-intelligence article
[ARTICLE · art-55085] src=huggingbay.xyz ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

ggufbench/qwen3.6-27b-4bpw-16gb-vram

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.

read2 min views1 publishedJul 2, 2026
ggufbench/qwen3.6-27b-4bpw-16gb-vram
Image: Huggingbay (auto-discovered)

ggufbench/qwen3.6-27b-4bpw-16gb-vram: Qwen3.6-27B-4bpw-16GB-VRAM License: apache-2.0. external modelscope metadata. Scan: pending.

  • License
  • apache-2.0
  • Size
  • 12.6 GB
  • Demand
  • 347 upstream downloads
  • Trust
  • Needs review 0/100
  • Trusted download
  • External or needs review
  • Run fit
  • Local-run friendly with quantized files: 8-16 GB RAM/VRAM for many quantized or medium checkpoints
  • Files
  • 0 hosted / 0 total
  • Scan status
  • pending
  • Hosting status
  • external
  • Upstream
  • ggufbench/Qwen3.6-27B-4bpw-16GB-VRAM
  • Declared license
  • apache-2.0
  • Pipeline
  • general
  • Library
  • pytorch
  • Task categories
  • general

About this artifact #

External 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.

Trusted download #

External or needs review. No Hugging Bay hosted download is available until source, license, and safety checks pass.

  • Hosted files
  • 0 of 0
  • Reviewed peer-assisted fallbacks
  • 0
  • Download plan
[Download-plan JSON](/api/artifacts/modelscope-ggufbench-qwen3.6-27b-4bpw-16gb-vram/download-plan)- Trust bundle
[Trust-bundle JSON](/api/trust-bundles/modelscope-ggufbench-qwen3.6-27b-4bpw-16gb-vram)- Review summary
[Review-summary JSON](/api/artifacts/modelscope-ggufbench-qwen3.6-27b-4bpw-16gb-vram/review-summary)- Distribution
[Reviewed peer-fallback JSON](/api/artifacts/modelscope-ggufbench-qwen3.6-27b-4bpw-16gb-vram/distribution)

Can I run this? #

Local-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 .

  • Estimated footprint
  • 12.6 GB
  • Suggested runners
  • Ollama, LM Studio, llama.cpp
  • Runtime files
  • 0
  • Local kit

Local run kit Run-fit warnings: No runtime weight file is indexed yet.; Hugging Bay is showing metadata only until reviewed hosted files exist.

- License: pass - apache-2.0
- Provenance: pass - ggufbench/Qwen3.6-27B-4bpw-16GB-VRAM
- Scan: warn - pending
- Hosted files: warn - external metadata only
- Signed manifest: fail - not final yet
- Community: warn - no reviews yet
- Benchmarks: warn - no benchmark evidence

Machine-readable card #

Open interactive artifact page

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