empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF
image-text-to-text model by empero-ai
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
Developed by Empero GGUF quantizations of empero-ai/Qwythos-9B-Claude-Mythos-5-1M for llama.cpp, Ollama, LM Studio, jan, KoboldCpp, and other GGUF runtimes. Qwythos-9B is a full-parameter reasoning model post-trained on over 500 million tokens of high-quality Claude Mythos / Claude Fable traces with chain-of-thought generated in-house by Empero AI's internal rethink tool. It dominates the base Qwen3.5-9B under matched evaluation (+34 pts MMLU, +30 pts gsm8k-strict, +19 pts gsm8k-flex), supports native function calling per the Qwen3.5 spec, and ships with a 1,048,576-token (1M) context window via YaRN rope-scaling enabled by default. For full training details, evaluation numbers, and capability writeup, see the base model card. If you don't know which to pick, Q4KM is the right starting point — it's the smallest practical quant with good quality preservation. These include the restored Qwen3.5-compatible MTP head inside the GGUF. Use them with llama.cpp builds that support MTP draft speculation, for example --spec-type draft-mtp. Qwythos inherits…
Read the full model card ↗ · Preview checked 2026-10-31T03:52:13.250Z
Inside the original model card — Document outline
- Qwythos-9B-Claude-Mythos-5-1M-GGUF
- Files
- Normal text weights — fixed v3 replacements
- MTP-enabled text weights — fixed v3 variants
- Vision projector — for image input
- Quick start
- llama.cpp (llama-cli)
- Ollama
- LM Studio / jan / KoboldCpp
- llama.cpp with MTP draft speculation
- Vision (image input)
- llama.cpp (llama-mtmd-cli)
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF is a image-text-to-text model repository published by empero-ai on Hugging Face. The source reports the gguf library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- gguf
- Recent downloads (30 days)
- 256,328
- Cumulative likes
- 2,928
- Hugging Face trending score
- 29
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-06-19T14:32:14.000Z
- Last modified
- 2026-07-14T13:12:53.000Z
Compatibility and lineage
Reported languages: en
Reported base models: empero-ai/Qwythos-9B-Claude-Mythos-5-1M
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:50:33.901Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.