---
base_model: skt/A.X-4.0
quantized_by: tmfi-us
license: other
license_name: qwen
license_link: https://huggingface.co/skt/A.X-4.0/blob/main/LICENSE
language:
  - en
  - ko
pipeline_tag: text-generation
---

## About

FP8 w8a8 dynamic quants of [skt/A.X-4.0](https://huggingface.co/skt/A.X-4.0).

Used following Python script with [llmcompressor](https://github.com/vllm-project/llm-compressor) to generate:

```python
from transformers import AutoTokenizer, AutoModelForCausalLM
from llmcompressor.transformers import oneshot
from llmcompressor.modifiers.quantization import QuantizationModifier

MODEL_ID = 'skt/A.X-4.0'

model = AutoModelForCausalLM.from_pretrained(
  MODEL_ID, device_map="auto", torch_dtype="auto",
)
tokenizer = AutoTokenizer.from_pretrained(MODEL_ID)

# Configure the simple PTQ quantization
recipe = QuantizationModifier(
  targets="Linear", scheme="FP8_DYNAMIC", ignore=["lm_head"])

# Apply the quantization algorithm.
oneshot(model=model, recipe=recipe)

# Save the model.
SAVE_DIR = MODEL_ID.split("/")[1] + "-FP8-Dynamic"
model.save_pretrained(SAVE_DIR)
tokenizer.save_pretrained(SAVE_DIR)
```

Quantization recipe can be found in [`recipe.yaml`](recipe.yaml)