MobileLLM-1B

A sub-billion parameter language model developed by Meta, suitable for device-side applications.

CommonProductProgrammingLanguage ModelTransformer

An autoregressive language model developed by Meta with an optimized architecture, making it ideal for resource-constrained devices. It boasts various advantages, including the integration of multiple technologies and support for zero-shot inference. It is free to access, targeting researchers and developers in natural language processing.

Integrated SwiGLU activation function for enhanced performance.
Deep thin architecture for optimized parameter efficiency.
Shared embeddings to reduce model size.
Grouped query attention for processing long sequences.
Zero-shot inference support to improve generalization capabilities.
Balanced parameters for size and performance.
Support for various programming libraries for ease of use.

This model is tailored for researchers and developers in the field of natural language processing. It is optimized for resource-constrained devices
enhancing the language processing capabilities of such devices.

Perform text generation tasks.
Deploy on mobile devices for real-time language processing.
Conduct zero-shot reasoning for problem-solving.

1. Visit the Hugging Face official website to search for the model.
2. Use the provided code sample to load the pre-trained model.
3. Add special tokens.
4. Utilize the model for text generation and other tasks.
5. Refer to the GitHub repository for training or fine-tuning.

Visit

MobileLLM-1B Visit Over Time

Monthly Visits

20899836

Bounce Rate

46.04%

Page per Visit

5.2

Visit Duration

00:04:57

MobileLLM-1B Visit Trend

MobileLLM-1B Visit Geography

MobileLLM-1B Traffic Sources

MobileLLM-1B Alternatives

OLMo 2 13B — High-performance English academic benchmark language model

Productivity•Language Model•Natural Language Processing

MobileLLM-350M — An efficiently optimized language model with sub-billion parameters, specifically designed for device-side applications.

Programming•Language Model•Transformer

Lepton Search — Lepton is an open-source language model search platform

Others•Open-Source•Language Model

1092

OLMo-2-1124-13B-DPO — High-performance English language model suitable for diverse tasks.

Programming•Language Model•Natural Language Processing

OpenScholar — A retrieval-augmented language model for synthesizing scientific literature.

Education•Scientific Literature•Retrieval Augmentation

OLMo 2 — State-of-the-art fully open language model

Programming•Language Model•Natural Language Processing

MobileLLM-600M — An efficient and optimized 600M parameter language model designed for device applications.

Programming•Language Model•Transformer

MobileLLM-125M — An efficient, optimized small language model designed for device-side applications.

Programming•Language Model•Device-side Applications

DCLM-7B — 700 million parameter language model, demonstrating the effectiveness of data organization technology.

Programming•language model•Transformer

228

Arcee Spark — A highly efficient and compact 7B parameter language model

InternationalSelection•Language Model•Natural Language Processing

Multi-Token Prediction — A multi-token prediction model designed to boost the efficiency and performance of language models

Programming•Language Model•Multi-Token Prediction

216

MDLM — An efficient masked diffusion language model.

Programming•Language Model•Text Generation

Samba — Official implementation of an efficient infinite context language model

Programming•Natural Language Processing•Machine Learning

198

MAP-NEO — MAP-NEO is an entirely open-source large language model offering advanced natural language processing capabilities.

Programming•Natural Language Processing•Open Source

438

Trustworthy Language Model (TLM) Playground — Try Cleanlab's Trustworthy Language Model (TLM) in your browser

Productivity•Natural Language Processing•Language Model

LLaVA++ — LLaVA++ extends the LLaVA model by integrating Phi-3 and LLaMA-3, enhancing the interaction capability between visual and language models.

Programming•Artificial Intelligence•Natural Language Processing

468

OpenELM — OpenELM is a family of efficient language models equipped with an open-source training and inference framework.

InternationalSelection•Language Model•Natural Language Processing

714

LLM Transparency Tool — Analyzes the inner workings of Transformer-based language models.

Programming•Language Model•Transformer

282

Qwen1.5-32B — A series of Transformer-based pre-trained language models

Productivity•Pre-trained model•Transformer

294

Cappy — A lightweight scoring model that enhances the performance of large, multi-task language models.

Productivity•Natural Language Processing•Language Model

H2O-Danube-1.8B — A 1.8B parameter language model, open-source and free.

Productivity•Language Model•Natural Language Processing

366

Baichuan 3 — A large language model with over trillion parameters

ChineseSelection•Language model•Natural language processing

4380

Qwen-VL — General-purpose Visual Language Model

Productivity•Visual•Language Model

1944

MaLA-500 — A large language model covering 534 languages

Others•Language Model•Natural Language Processing

198

honeybee — Multi-modal Language Model Prediction Network

Productivity•Multimodal•Language Model

282

Best AI Websites & Tools

MobileLLM-1B

MobileLLM-1B Visit Over Time

MobileLLM-1B Visit Trend

MobileLLM-1B Visit Geography

MobileLLM-1B Traffic Sources

MobileLLM-1B Alternatives

OLMo 2 13B — High-performance English academic benchmark language model

MobileLLM-350M — An efficiently optimized language model with sub-billion parameters, specifically designed for device-side applications.

Lepton Search — Lepton is an open-source language model search platform

OLMo-2-1124-13B-DPO — High-performance English language model suitable for diverse tasks.

OpenScholar — A retrieval-augmented language model for synthesizing scientific literature.

OLMo 2 — State-of-the-art fully open language model

MobileLLM-600M — An efficient and optimized 600M parameter language model designed for device applications.

MobileLLM-125M — An efficient, optimized small language model designed for device-side applications.

Zamba2-7B — High-performance small language model

SLM_Survey — Research, Measurement, and Insights on Small Language Models

Meta Llama 3.1-405B — Large multilingual pre-trained language model

DCLM-baseline — High-performance language model benchmark dataset

DCLM-7B — 700 million parameter language model, demonstrating the effectiveness of data organization technology.

Arcee Spark — A highly efficient and compact 7B parameter language model

Multi-Token Prediction — A multi-token prediction model designed to boost the efficiency and performance of language models

MDLM — An efficient masked diffusion language model.

Samba — Official implementation of an efficient infinite context language model

MAP-NEO — MAP-NEO is an entirely open-source large language model offering advanced natural language processing capabilities.

Trustworthy Language Model (TLM) Playground — Try Cleanlab's Trustworthy Language Model (TLM) in your browser

LLaVA++ — LLaVA++ extends the LLaVA model by integrating Phi-3 and LLaMA-3, enhancing the interaction capability between visual and language models.

OpenELM — OpenELM is a family of efficient language models equipped with an open-source training and inference framework.

LLM Transparency Tool — Analyzes the inner workings of Transformer-based language models.

Qwen1.5-32B — A series of Transformer-based pre-trained language models

Cappy — A lightweight scoring model that enhances the performance of large, multi-task language models.

H2O-Danube-1.8B — A 1.8B parameter language model, open-source and free.

Baichuan 3 — A large language model with over trillion parameters

Qwen-VL — General-purpose Visual Language Model

MaLA-500 — A large language model covering 534 languages

honeybee — Multi-modal Language Model Prediction Network