---
license: apache-2.0
datasets:
- willcb/V3-wordle
base_model:
- PrimeIntellect/Qwen3-1.7B-Wordle-SFT
library_name: onnxruntime
tags:
- onnx
- onnxruntime-genai
---



# Qwen3-1.7B-Wordle-SFT (ONNX)


This is an ONNX version of [PrimeIntellect/Qwen3-1.7B-Wordle-SFT](https://huggingface.co/PrimeIntellect/Qwen3-1.7B-Wordle-SFT). It was converted using the ONNX Runtime GenAI builder.


## Conversion Details


- **Precision**: int4

- **Execution Provider**: webgpu

- **Base Model**: [PrimeIntellect/Qwen3-1.7B-Wordle-SFT](https://huggingface.co/PrimeIntellect/Qwen3-1.7B-Wordle-SFT)


## Usage with ONNX Runtime GenAI


```python

import onnxruntime_genai as og



# Load the model

model = og.Model("haydso/Qwen3-1.7B-Wordle-SFT-ONNX")

tokenizer = og.Tokenizer(model)



# Generate text

prompt = "Your prompt here"

tokens = tokenizer.encode(prompt)

params = og.GeneratorParams(model)

params.set_search_options(max_length=200)

params.input_ids = tokens



generator = og.Generator(model, params)

while not generator.is_done():

    generator.compute_logits()

    generator.generate_next_token()



output_tokens = generator.get_sequence(0)

text = tokenizer.decode(output_tokens)

print(text)

```


---


# Original Model Card


# Qwen-1.7B-Wordle-SFT

<!-- Provide a quick summary of what the model is/does. -->

A SFT fine-tune of `PrimeIntellect/Qwen3-1.7B`. Details [here](https://github.com/PrimeIntellect-ai/prime-rl/tree/main/examples/wordle).