{"slug": "qwen-qwen2-5-1-5b-instruct", "title": "Qwen/Qwen2.5-1.5B-Instruct", "summary": "Qwen released Qwen2.5-1.5B-Instruct, an Apache-2.0 licensed 1.5B parameter instruct model for local chat and agent tasks, requiring 8-16 GB RAM/VRAM. The model is available on Hugging Bay with external metadata and pending scan, suitable for constrained hardware.", "body_md": "# Qwen/Qwen2.5-1.5B-Instruct\n\nQwen/Qwen2.5-1.5B-Instruct: Practical Apache-2.0 Qwen2.5 1.5B instruct model for local chat, agent tests, and constrained hardware. License: apache-2.0. external huggingface metadata. Scan: pending.\n\n- License\n- apache-2.0\n- Size\n- 3.1 GB\n- Demand\n- 500 upstream downloads\n- Trust\n- Needs review 0/100\n- Trusted download\n- External metadata; mirror requestable\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 / 1 total\n- Scan status\n- pending\n- Hosting status\n- external\n- Upstream\n- Qwen/Qwen2.5-1.5B-Instruct\n- Declared license\n- apache-2.0\n- Pipeline\n- text-generation\n- Library\n- Transformers\n- Task categories\n- text-generation\n\n## About this artifact\n\nQwen/Qwen2.5-1.5B-Instruct is included in Hugging Bay's compact resilience fallback for high-demand open AI artifacts. Live Postgres metadata, hosted files, hashes, and reviews take precedence whenever available.\n\n## Trusted download\n\nExternal metadata; mirror requestable. Use upstream for now or add demand for a reviewed Hugging Bay mirror.\n\n- Hosted files\n- 0 of 1\n- Reviewed peer-assisted fallbacks\n- 0\n- Download plan\n[Download-plan JSON](/api/artifacts/hf-model-qwen-qwen2-5-1-5b-instruct/download-plan)- Trust bundle\n[Trust-bundle JSON](/api/trust-bundles/hf-model-qwen-qwen2-5-1-5b-instruct)- Review summary\n[Review-summary JSON](/api/artifacts/hf-model-qwen-qwen2-5-1-5b-instruct/review-summary)- Distribution\n[Reviewed peer-fallback JSON](/api/artifacts/hf-model-qwen-qwen2-5-1-5b-instruct/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- 3.1 GB\n- Suggested runners\n- Ollama, LM Studio, llama.cpp, Transformers, vLLM\n- Runtime files\n- 0\n- Local kit\n[Local run kit](/local-kit/hf-model-qwen-qwen2-5-1-5b-instruct)\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 - Qwen/Qwen2.5-1.5B-Instruct\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/hf-model-qwen-qwen2-5-1-5b-instruct)", "url": "https://wpnews.pro/news/qwen-qwen2-5-1-5b-instruct", "canonical_source": "https://huggingbay.xyz/artifact/hf-model-qwen-qwen2-5-1-5b-instruct", "published_at": "2026-07-07 00:00:00+00:00", "updated_at": "2026-07-11 04:44:16.835244+00:00", "lang": "en", "topics": ["large-language-models", "artificial-intelligence", "ai-tools"], "entities": ["Qwen", "Qwen2.5-1.5B-Instruct", "Hugging Bay", "Ollama", "LM Studio", "llama.cpp", "Transformers", "vLLM"], "alternates": {"html": "https://wpnews.pro/news/qwen-qwen2-5-1-5b-instruct", "markdown": "https://wpnews.pro/news/qwen-qwen2-5-1-5b-instruct.md", "text": "https://wpnews.pro/news/qwen-qwen2-5-1-5b-instruct.txt", "jsonld": "https://wpnews.pro/news/qwen-qwen2-5-1-5b-instruct.jsonld"}}