01What it can do
- Lightweight: ~5 GB of VRAM in Q4, fits on an 8 GB GPU
- Extended 1M-token context
- Image input (multimodal)
- Permissive Apache 2.0 license
- —Community merge: less predictable quality than an official model
- —Focused on roleplay/creative work, less suited to factual tasks
- —No Ollama tag — install via HuggingFace
04Install
Install Ollama for your OS. Check the model and its quantization before downloading. Start with 4096 tokens of context, then check placement with ollama ps. A command below is not proof that a test was run on your machine.
02Required memory
Approximate GPU VRAM required to run this model, including 4k tokens of context overhead. For a longer context, add ~1 GB per 8k-token increment.
What hardware do you need for Qwythos 9B Claude Mythos?
To run Qwythos 9B Claude Mythos locally with Q4 quantization, you need about 5 GB of VRAM. An option to compare: RTX 5060 Ti 16GB (ASUS Prime) — leave some headroom for the system and context; check engine compatibility with the GPU.
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On the go: Qwythos 9B Claude Mythos also runs on a RTX laptop PC (16 GB of VRAM) →
Your private ChatGPT, free, on your own machine in an hour — LM Studio, Ollama, Open WebUI, your documents, no cloud.
- Lifetime online access
- PDF + files
- Lifetime updates
03Expected speed
Tokens generated per second in Q4_K_M, 4k context. Beyond 20 t/s, reading is comfortable. Below 10 t/s, that's just for testing.