Beta

Explore
Marketplace
Neural Labs
Chat
Wallet
Docs

Beta

Explore Marketplace Neural Labs Wallet Docs

Build

Manage

My assets Manage wallet Organization

Community

Discord X (Twitter)Telegram

Docs Privacy Policy Terms and Conditions

Proud member of

Proud member of

Docs Cookie Policy

Privacy Policy Terms and Conditions

© 2026 AlphaNeural AI. All rights reserved.

SmolLM2-1.7B-Executorch-Q8DA4W – AI Model by blackcloud1199 | AlphaNeural AI

You can deploy this model and start earning money today!

blackcloud1199/
SmolLM2-1.7B-Executorch-Q8DA4W

like

0

HuggingFaceTB/SmolLM2-1.7B-Instruct

Views

No views yet

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.pte and 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