license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags: - qwen3.5
- qwythos
- 1M-context
- long-context
- agentic
- uncensored
- abliterated
- fastflowlm
- q4nx
- npu
base_model: - empero-ai/Qwythos-9B-Claude-Mythos-5-1M
base_model_relation: quantized
quantized_by: Atomic-Germ
IF YOU USE COMMUNITY QWEN MODELS DO NOT UPGRADE TO FLM v1.0.2+
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 (
flmCLI) - 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.q4nxsize: 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.
- Upstream card: empero-ai/Qwythos-9B-Claude-Mythos-5-1M