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SmolLM2-1.7B-Instruct-q4f16_1-MLC-WEBGPU
shirman/SmolLM2-1.7B-Instruct-q4f16_1-MLC-WEBGPU
SmolLM2-1.7B-Instruct-q4f16_1-MLC-WEBGPU is a machine learning model from shirman. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
SmolLM2, a family of compact language models available in three sizes: 135M, 360M, and 1.7B parameters.
Access
Public
Updated Nov 4, 2024
Repo size
968 MB
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6
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At a glance
- Access
- Public
- Created
- Nov 3, 2024
- Updated
- Nov 4, 2024
- SHA
- 64e6c831
Model card
From the Hugging Face model README
SmolLM2, a family of compact language models available in three sizes: 135M, 360M, and 1.7B parameters.
In this repo is WASM compiled 1.7B model suitable for WebLLM
SmolLM2-1.7B
Demonstrates significant improvements over its predecessor, SmolLM1-1.7B, in instruction following, knowledge, reasoning, and mathematics. Training: Trained on 11 trillion tokens using a diverse dataset combination including FineWeb-Edu, DCLM, The Stack, and new mathematics and coding datasets. Fine-Tuning: Developed through supervised fine-tuning (SFT) and Direct Preference Optimization (DPO) using UltraFeedback.
Capabilities:
Tasks: Supports tasks such as text rewriting, summarization, and function calling. Datasets: Utilizes datasets developed by Argilla, such as Synth-APIGen-v0.1.
license: apache-2.0
- Created
- Nov 3, 2024
- Updated
- Nov 4, 2024