---
language:
- en
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
tags:
- aqlm
- quantized
- text-generation
- qwen3-30b-a3b-instruct-2507
base_model: Qwen/Qwen3-30B-A3B-Instruct-2507
---

# dbw6/Qwen3-30B-A3B-Instruct-2507-AQLM-2Bit-2x8-hf

This repository contains a Hugging Face export of `Qwen3-30B-A3B-Instruct-2507` quantized with AQLM using the `2-bit` `2x8` scheme.

## Base model

- `Qwen/Qwen3-30B-A3B-Instruct-2507`

## Quantization

- Method: `AQLM`
- Scheme: `2x8`
- Effective label: `2-bit`
- Source checkpoint: `/work/bduan1/quantized_models/Qwen3-30B-A3B-AQLM-2bit-2x8`

## Conversion

This repo was produced with `convert_to_hf.py` from the AQLM project, then exported with `--save_safetensors` and `--save_tokenizer`.

## Usage

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "dbw6/Qwen3-30B-A3B-Instruct-2507-AQLM-2Bit-2x8-hf"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype="auto",
    device_map="auto",
    trust_remote_code=True,
)
```