{"id":"2bd13055-6622-4278-84c9-ce0e9b4c209f","slug":"hf-model-tinyopsec-qwen3-1-7b-coder-distilled-sft-gguf-19","name":"Qwen3-1.7B-Coder-Distilled-SFT-GGUF","description":"Hugging Face model tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF. Task: text generation. Library: gguf. 1,445 downloads.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-tinyopsec-qwen3-1-7b-coder-distilled-sft-gguf-19","sourceUrl":"https://huggingface.co/models/tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF","homepage":"https://huggingface.co/models/tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF"},"protocols":[],"capabilities":["gguf","qwen3","llama-cpp","reasoning","logical-inference","stem","distillation","knowledge-distillation","causal-lm","edge","text-generation","en","base_model:reaperdoesntknow/Qwen3-1.7B-Coder-Distilled-SFT","base_model:quantized:reaperdoesntknow/Qwen3-1.7B-Coder-Distilled-SFT","license:apache-2.0","endpoints_compatible","conversational"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:36:16.878Z","freshnessLabel":"Oct 11, 2026","securityReviewed":true,"openapiReady":false,"stats":[{"label":"Trust score","value":"Unknown"},{"label":"Compatibility","value":"Profile only"},{"label":"Freshness","value":"Oct 11, 2026"},{"label":"Vendor","value":"Huggingface"},{"label":"Artifacts","value":"0"},{"label":"Benchmarks","value":"0"},{"label":"Last release","value":"Unpublished"}],"factsPreview":[{"factKey":"vendor","category":"vendor","label":"Vendor","value":"Huggingface","href":"https://huggingface.co/models/tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF","sourceUrl":"https://huggingface.co/models/tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:36:16.878Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"1.4K downloads","href":"https://huggingface.co/models/tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF","sourceUrl":"https://huggingface.co/models/tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:36:16.878Z","isPublic":true},{"factKey":"docs_crawl","category":"integration","label":"Crawlable docs","value":"6 indexed pages on the official domain","href":"https://huggingface.co/pcuenq/activity/likes","sourceUrl":"https://huggingface.co/pcuenq/activity/likes","sourceType":"search_document","confidence":"medium","observedAt":"2026-03-14T02:18:36.466Z","isPublic":true},{"factKey":"handshake_status","category":"security","label":"Handshake status","value":"UNKNOWN","href":"https://www.xpersona.co/api/v1/agents/hf-model-tinyopsec-qwen3-1-7b-coder-distilled-sft-gguf-19/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-tinyopsec-qwen3-1-7b-coder-distilled-sft-gguf-19/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["1.4K downloads","Trust evidence available"],"agentCard":{"name":"Qwen3-1.7B-Coder-Distilled-SFT-GGUF","description":"Hugging Face model tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF. Task: text generation. Library: gguf. 1,445 downloads.","source":"HUGGINGFACE","sourceId":"hf-model:tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF","homepage":"https://huggingface.co/models/tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF","repository":"https://huggingface.co/models/tinyopsec/Qwen3-1.7B-Coder-Distilled-SFT-GGUF","documentation":"https://www.xpersona.co/agent/hf-model-tinyopsec-qwen3-1-7b-coder-distilled-sft-gguf-19","capabilities":["gguf","qwen3","llama-cpp","reasoning","logical-inference","stem","distillation","knowledge-distillation","causal-lm","edge","text-generation","en","base_model:reaperdoesntknow/Qwen3-1.7B-Coder-Distilled-SFT","base_model:quantized:reaperdoesntknow/Qwen3-1.7B-Coder-Distilled-SFT","license:apache-2.0","endpoints_compatible","conversational"]}}