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SmolLM2-1.7B-Executorch-Q8DA4W
blackcloud1199/SmolLM2-1.7B-Executorch-Q8DA4W
SmolLM2-1.7B-Executorch-Q8DA4W is a machine learning model from blackcloud1199. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for executorch. The card lists the license as apache-2.0.
This repository contains the smollm217bq8da4w.pte model, exported for use with ExecuTorch.
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At a glance
- Library
- executorch
- License
- apache-2.0
- Access
- Public
- Created
- Dec 31, 2025
- Updated
- Dec 31, 2025
- SHA
- 1a4933f9
Base models
Model card
From the Hugging Face model README
SmolLM2-1.7B-Executorch-Q8DA4W
This repository contains the smollm2_1_7b_q8da4w.pte model, exported for use with ExecuTorch.
Details
- Base Model: HuggingFaceTB/SmolLM2-1.7B-Instruct
- Format:
.pte(ExecuTorch) - Quantization: Q8DA4W (4-bit linear weights, 8-bit dynamic activations)
- Architecture: llama (compatible with Llama export pipeline)
- File Size: ~1.7 GB
Features
- 🚀 Optimized for mobile/edge devices
- 📱 Compatible with
react-native-executorch - 💡 SmolLM2 is efficient and fast for resource-constrained environments
- 🗣️ Instruct-tuned for conversational AI
Usage
This model is ready to be used in mobile applications (iOS/Android) via the ExecuTorch runtime or react-native-executorch.
- Download
smollm2_1_7b_q8da4w.pteand the tokenizer files (tokenizer.json,vocab.json,merges.txt). - Place them in your app's asset folder.
- Load with ExecuTorch runtime.
Notes
- SmolLM2 uses byte-level BPE tokenizer (similar to GPT-2), not SentencePiece like Llama.
- Tokenizer files are:
tokenizer.json,vocab.json,merges.txt
- Library
- executorch
- License
- apache-2.0
- Created
- Dec 31, 2025
- Updated
- Dec 31, 2025