Instructions to use optimum-intel-internal-testing/tiny-random-qwen3-dflash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum-intel-internal-testing/tiny-random-qwen3-dflash with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="optimum-intel-internal-testing/tiny-random-qwen3-dflash", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("optimum-intel-internal-testing/tiny-random-qwen3-dflash", trust_remote_code=True) model = AutoModel.from_pretrained("optimum-intel-internal-testing/tiny-random-qwen3-dflash", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 392 Bytes
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library_name: transformers
tags:
- qwen3
- dflash
- tiny-random
---
# Tiny Random Qwen3 DFlash b16
Tiny random DFlash draft model compatible with `optimum-intel-internal-testing/tiny-random-qwen3`.
- Source remote-code template: `z-lab/Qwen3-4B-DFlash-b16`
- Target hidden size: 32
- Target hidden layers: 2
- DFlash block size: 16
- DFlash target layer ids: `[0, 1]`
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