Empero-AI/Qwythos-9B-Claude-Mythos-5-1M
Empero AI released the Qwythos-9B-Claude-Mythos-5-1M model, a 9‑billion‑parameter multimodal language model built on the uncensored Qwen3.5‑9B base. The model supports image‑text inputs, native tool use, a 1‑million‑token context window, and is licensed under Apache‑2.0. Documentation provides integration steps for Transformers, vLLM, SGLang, and Docker deployments.
- ▪The Qwythos-9B model incorporates over 500 million tokens of high‑quality Claude Mythos and Claude Fable data for post‑training.
- ▪It offers multimodal capabilities, allowing users to submit combined image and text queries via supported libraries.
- ▪The model features a 1,048,576‑token context window and native function‑calling tool use for advanced reasoning tasks.
- ▪Usage instructions are provided for multiple inference frameworks, including Transformers, vLLM, SGLang, and Docker Model Runner.
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Record
| Original publisher | Huggingface |
| Canonical URL | https://huggingface.co/empero-ai/Qwythos-9B-Claude-Mythos-5-1M |
| Publication time | Mon, 29 Jun 2026 05:53:55 +0000 |
| Retrieval time | 2026-06-29T07:20:57.928Z |
| Last seen | 2026-06-29T07:20:57.928Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | zPaOs9KWM8FF |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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empero-ai / Qwythos-9B-Claude-Mythos-5-1M like 533 Text Generation Transformers Safetensors English qwen3_5 image-text-to-text qwen3.5 reasoning uncensored long-context 1M-context function-calling tool-use sft full-fine-tune cybersecurity biomedical agentic conversational License: apache-2.0 Model card Files Files and versions xet Community 11 Deploy Copy to bucket new Use this model Instructions to use empero-ai/Qwythos-9B-Claude-Mythos-5-1M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
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