empero-ai/Qwythos-9B-v2-GGUF

image-text-to-text model by empero-ai

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Empero AI GGUF quantizations of empero-ai/Qwythos-9B-v2 for llama.cpp, Ollama, LM Studio, jan, KoboldCpp, and other GGUF runtimes. Qwythos-9B-v2 is the new and improved Qwythos — all the deep chain-of-thought reasoning of the base Qwythos, with the looping behavior fixed. The looping/degeneration that showed up under greedy or low-temperature decoding is trained out (6.7% → 0%), the native MTP head is restored, and the identity prompt is cleaned up — while knowledge and reasoning are held at (or above) the base Qwythos level. The fix uses FTPO (Final-Token Preference Optimization): the exact token that starts a repetition loop is identified and the model is gently trained to prefer coherent alternatives at that one position, leaving the rest of the distribution — and therefore its knowledge and reasoning — untouched. For full training details, evaluation numbers, and sample generations, see the base model card. If you don't know which to pick, Q4KM…

empero-ai/Qwythos-9B-v2-GGUF on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-31T01:15:09.643Z

Inside the original model card — Document outline
  1. Qwythos-9B-v2-GGUF
  2. What's new vs. the base Qwythos
  3. Files
  4. Normal text weights — trunk only (32 blocks)
  5. MTP-enabled text weights (33 blocks, nextnpredictlayers = 1)
  6. Vision projector — for image input
  7. Hybrid-precision quantization (Gated-DeltaNet / SSM tensors)
  8. Quick start
  9. llama.cpp
  10. Ollama
  11. LM Studio / jan / KoboldCpp
  12. MTP draft speculation

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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-v2-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)
645,813
Cumulative likes
271
Hugging Face trending score
6
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-07-09T23:19:33.000Z
Last modified
2026-07-12T00:58:46.000Z

Compatibility and lineage

Reported languages: en

Reported base models: empero-ai/Qwythos-9B-v2

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.

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Model card and usage instructions

Model files and configuration

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-15T06:34:04.394Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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