Atomic-Germ / Remember-R1-3B-NPU2

huggingface.co
Total runs: 847
24-hour runs: 0
7-day runs: 338
30-day runs: 847
Model's Last Updated: August 20 2026
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Introduction of Remember-R1-3B-NPU2

Model Details of Remember-R1-3B-NPU2

Remember-R1-3B - Q4NX for FastFlowLM (AMD Ryzen AI XDNA2)

Remember-R1-3B is an evolutionary-merged Mixture-of-Experts model (based on the Qwen3.6-35B-A3B architecture) specialized for deep reasoning. This repository contains the Q4NX conversion for hardware-accelerated inference with 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
  • ~51 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 ships flm-add.py , a small installer that copies the model into the FastFlowLM user directory and registers the tag remember-r1:3b . It never modifies the system FastFlowLM install.

# one-time environment (add these to ~/.bashrc)
export FLM_CONFIG_PATH="$HOME/.config/flm/model_list.json"
export FLM_XCLBIN_PATH="$HOME/.config/flm"

git lfs install
git clone https://huggingface.co/Atomic-Germ/Remember-R1-3B-NPU2
cd Remember-R1-3B-NPU2
python3 ./flm-add.py . --family qwen2vl
flm run remember-r1:3b

Run python3 ./flm-add.py --help for all options. Without a clone, the same command works against the repo id directly:

python3 ./flm-add.py Atomic-Germ/Remember-R1-3B-NPU2 --family qwen2vl
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 qwen2.5vl-it:35b-a3b model ( Qwen3.6-35B-A3B-NPU2 ), because this model shares the same engine family ( qwen2.5vl-it ) and architecture.

Serve (OpenAI-compatible)
flm serve remember-r1:3b --port 8080
curl http://127.0.0.1:8080/v1/chat/completions \
  -H 'Content-Type: application/json' \
  -d '{"model":"remember-r1:3b","messages":[{"role":"user","content":"Hello!"}],"max_tokens":256}'
Model
  • Registry tag: remember-r1:3b
  • Engine family: qwen2.5vl-it
  • Kernel source: FastFlowLM/Qwen2.5-VL-3B-Instruct-NPU2
  • Context length: 262,144 tokens (from config)
  • model.q4nx size: 23.24 GB
  • Base model: JM-Chen/Remember-R1-3B
  • 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.

Runs of Atomic-Germ Remember-R1-3B-NPU2 on huggingface.co

847
Total runs
0
24-hour runs
12
3-day runs
338
7-day runs
847
30-day runs

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Remember-R1-3B-NPU2 install

Remember-R1-3B-NPU2 is an open source model from GitHub that offers a free installation service, and any user can find Remember-R1-3B-NPU2 on GitHub to install. At the same time, huggingface.co provides the effect of Remember-R1-3B-NPU2 install, users can directly use Remember-R1-3B-NPU2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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