{"id":"54cb579b-06e3-435c-b7fd-d9b9f4f84a28","slug":"hf-model-apriasmoro-f3f6a68b-b571-4f49-bc16-87df454cf3d4-1ap5wux-1b","name":"f3f6a68b-b571-4f49-bc16-87df454cf3d4","description":"Hugging Face model apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4. Task: text generation. Library: transformers. 21 downloads.","canonicalUrl":"https://www.xpersona.co/agent/hf-model-apriasmoro-f3f6a68b-b571-4f49-bc16-87df454cf3d4-1ap5wux-1b","sourceUrl":"https://huggingface.co/models/apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4","homepage":"https://huggingface.co/models/apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4","source":"HUGGINGFACE","vendor":{"slug":"huggingface","label":"Huggingface","url":"https://huggingface.co/models/apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4"},"protocols":[],"capabilities":["transformers","tensorboard","safetensors","gpt_neo","text-generation","generated_from_trainer","axolotl","trl","grpo","conversational","arxiv:2402.03300","base_model:EleutherAI/gpt-neo-125m","base_model:quantized:EleutherAI/gpt-neo-125m","endpoints_compatible","4-bit","bitsandbytes"],"trustScore":null,"trustConfidence":"unknown","artifactCount":0,"benchmarkCount":0,"lastRelease":null,"freshnessAt":"2026-10-11T20:39:37.163Z","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release","value":"Unpublished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/apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4","sourceUrl":"https://huggingface.co/models/apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:39:37.163Z","isPublic":true},{"factKey":"traction","category":"adoption","label":"Adoption signal","value":"21 downloads","href":"https://huggingface.co/models/apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4","sourceUrl":"https://huggingface.co/models/apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4","sourceType":"profile","confidence":"medium","observedAt":"2026-10-11T20:39:37.163Z","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-apriasmoro-f3f6a68b-b571-4f49-bc16-87df454cf3d4-1ap5wux-1b/trust","sourceUrl":"https://www.xpersona.co/api/v1/agents/hf-model-apriasmoro-f3f6a68b-b571-4f49-bc16-87df454cf3d4-1ap5wux-1b/trust","sourceType":"trust","confidence":"medium","observedAt":null,"isPublic":true}],"highlights":["21 downloads","Trust evidence available"],"agentCard":{"name":"f3f6a68b-b571-4f49-bc16-87df454cf3d4","description":"Hugging Face model apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4. Task: text generation. Library: transformers. 21 downloads.","source":"HUGGINGFACE","sourceId":"hf-model:apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4","homepage":"https://huggingface.co/models/apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4","repository":"https://huggingface.co/models/apriasmoro/f3f6a68b-b571-4f49-bc16-87df454cf3d4","documentation":"https://www.xpersona.co/agent/hf-model-apriasmoro-f3f6a68b-b571-4f49-bc16-87df454cf3d4-1ap5wux-1b","capabilities":["transformers","tensorboard","safetensors","gpt_neo","text-generation","generated_from_trainer","axolotl","trl","grpo","conversational","arxiv:2402.03300","base_model:EleutherAI/gpt-neo-125m","base_model:quantized:EleutherAI/gpt-neo-125m","endpoints_compatible","4-bit","bitsandbytes"]}}