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Atomic-Germ/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-NPU2

🤗 Hugging Face 来源text-generationapache-2.0激活 9B58 GBother✓ 3 个校验和今天更新
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Qwythos-9B-Claude-Mythos-5-1M (abliterated) - Q4NX for FastFlowLM (AMD Ryzen AI XDNA2)

Qwythos-9B-Claude-Mythos-5-1M (abliterated) is a full fine-tune of Qwen3.5-9B for long-context agentic use (1M context), with abliterated safety tuning. This repository contains the Q4NX conversion for FastFlowLM.

What is Q4NX?

Q4NX is FastFlowLM's native packed-quantization format - a rearranged Q4_1 layout tuned for the NPU matrix engine's tile sizes and memory access patterns. It is not a GGUF file and it does not run on llama.cpp or Ollama; it is meant exclusively for the FastFlowLM engine on AMD Ryzen AI NPUs.

Requirements

  • FastFlowLM >= 0.9.45 (flm CLI)
  • AMD Ryzen AI processor with XDNA2 (NPU2) - Strix Point / Ryzen AI 300 series or later
  • Linux with the XRT NPU stack installed
  • ~17 GB of unified system memory (Q4NX weights + activations + KV cache)

Files

File Purpose
model.q4nx Quantized Q4NX weights
config.json FastFlowLM model configuration
tokenizer.json Tokenizer
tokenizer_config.json Special tokens and chat template
chat_template.jinja Chat template (optional)
flm-add.py Installer script - registers this model with FastFlowLM

Install and run

This repository works with flm-add, a small installer that copies the model into the FastFlowLM user directory and registers the tag. It never modifies the system FastFlowLM install.

pip install flm-add or uv tool install flm-add

uv tool install flm-add
flm-add Atomic-Germ/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-NPU2 --tag qwythos:9b --family qwen3.5
FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json" FLM_XCLBIN_PATH="$HOME/.config/flm" flm run qwythos:9b

Kernels

FastFlowLM's NPU kernels (xclbins) are closed source and are not shipped in this repository. flm-add.py links the kernels of the official qwen3.5:9b model (Qwen3.5-9B-NPU2), because this model shares the same engine family (qwen3.5) and architecture.

Model

  • Registry tag: qwythos:9b
  • Engine family: qwen3.5
  • Kernel source: Qwen3.5-9B-NPU2
  • Context length: 262,144 tokens (from config)
  • model.q4nx size: 7.76 GB
  • Base model: empero-ai/Qwythos-9B-Claude-Mythos-5-1M
  • License: apache-2.0

Original model card

See the upstream model card for training details, benchmarks, and upstream usage. This repository only contains the Q4NX conversion for FastFlowLM.