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Accelerate semantic search and contextual understanding with M2-BERT 80M 8K on Cyfuture Cloud. Achieve faster, scalable, and high-accuracy retrieval for enterprise-level AI applications.
M2-BERT 80M 8K Retrieval is a specialized AI model designed for long-context information retrieval tasks, capable of processing sequences up to 8,192 tokens. With 80 million parameters, it efficiently generates embeddings to facilitate precise and fast retrieval from large text datasets. This model fine-tunes the original M2-BERT architecture to handle lengthy documents, making it ideal for applications that require deep contextual understanding over extended text passages. Its architecture uses a sub-quadratic GEMM-based design, delivering high performance with balanced computational efficiency. These features enable the model to outperform larger counterparts in search accuracy and speed, making it a valuable tool for advanced search engines, data analytics, and AI-powered information access systems.
M2-BERT 80M 8K Retrieval is an advanced AI model designed for efficient long-context information retrieval. It is based on the Monarch Mixer architecture and features 80 million parameters optimized for processing sequences up to 8,192 tokens long. This model generates high-quality embeddings that represent large chunks of text data, enabling fast and accurate retrieval of relevant information from vast datasets. It is fine-tuned specifically for tasks requiring long-sequence understanding, making it a powerful tool for applications like search engines, knowledge bases, and complex document processing.
Handles text sequences as long as 8,192 tokens, far exceeding traditional BERT’s 512-token limit, enabling better context retention.
Converts input text into 768-dimensional embeddings that compactly represent semantic information for retrieval tasks.
Uses a sub-quadratic generalized matrix multiplication (GEMM) architecture for efficient, scalable neural computation.
Specifically trained on a mixture of short and long text sequences from datasets like C4, Wikipedia, and BookCorpus to excel in retrieval accuracy.
Processes large text volumes faster than traditional transformer models, making it suitable for real-time or near-real-time search applications.
Matches user queries to stored embeddings, retrieving the most relevant text passages based on semantic similarity.
Designed to handle extensive datasets and complex search needs in enterprise and AI applications.
Large-scale model with significant capacity for complex code generation tasks.
Trained on over 600 programming languages, including Python, JavaScript, C++, and more.
Learned from over 4 trillion tokens from The Stack v2 dataset.
Supports a context window of 16,384 tokens, ideal for processing large codebases and long documents.
Uses advanced attention mechanisms for more accurate and efficient code understanding and generation.
Enables powerful autocomplete, code refactoring, and editing capabilities within existing code blocks.
Delivers high-quality code snippets with strong benchmark performance, outperforming smaller models.
Available under an open license that supports customization, research, and commercial use.
Optimized for deployment using multiple GPUs for faster inference and training.
Suitable for IDE integration, code completion, code-to-text/text-to-code, codebase understanding, and DevOps automation.
Cyfuture is the ideal choice for M2-BERT 80M 8K Retrieval due to its robust AI infrastructure and proven expertise in handling advanced AI models. Our platform provides optimized GPU and CPU resources tailored to the demanding processing power of M2-BERT models, ensuring faster and more accurate retrieval capabilities. With low latency and high scalability, Cyfuture enables seamless deployment of retrieval-based AI workloads, making it a reliable partner for enterprises looking to achieve superior AI performance.
Additionally, Cyfuture’s MeitY-Empanelled Tier III data centers provide unmatched security, compliance, and availability for mission-critical AI applications. Our enterprise-grade environment guarantees 99.99% uptime alongside redundant power, cooling, and network systems, offering uninterrupted processing for large-scale M2-BERT retrieval tasks. With dedicated technical support, premium connectivity, and cost-effective solutions, Cyfuture empowers businesses to accelerate their AI journey with confidence and efficiency.

Thanks to Cyfuture Cloud's reliable and scalable Cloud CDN solutions, we were able to eliminate latency issues and ensure smooth online transactions for our global IT services. Their team's expertise and dedication to meeting our needs was truly impressive.
Since partnering with Cyfuture Cloud for complete managed services, Boloro Global has experienced a significant improvement in their IT infrastructure, with 24x7 monitoring and support, network security and data management. The team at Cyfuture Cloud provided customized solutions that perfectly fit our needs and exceeded our expectations.
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With Cyfuture Cloud's secure and reliable co-location facilities, we were able to set up our Certifying Authority with peace of mind, knowing that our sensitive data is in good hands. We couldn't have done it without Cyfuture Cloud's unwavering commitment to our success.
Cyfuture Cloud has revolutionized our email services with Outlook365 on Cloud Platform, ensuring seamless performance, data security, and cost optimization.
With Cyfuture's efficient solution, we were able to conduct our examinations and recruitment processes seamlessly without any interruptions. Their dedicated lease line and fully managed services ensured that our operations were always up and running.
Thanks to Cyfuture's private cloud services, our European and Indian teams are now working seamlessly together with improved coordination and efficiency.
The Cyfuture team helped us streamline our database management and provided us with excellent dedicated server and LMS solutions, ensuring seamless operations across locations and optimizing our costs.














M2-BERT 80M 8K Retrieval is an AI model with 80 million parameters, pretrained on long sequences up to 8192 tokens, fine-tuned specifically for efficient long-context information retrieval tasks.
Its capability to handle large context sizes while maintaining high accuracy and efficiency sets it apart, allowing faster and more relevant retrieval from extensive datasets.
It supports a maximum input sequence length of 8,192 tokens, significantly longer than standard BERT models which process up to 512 tokens.
It excels in search and retrieval applications, document analysis, and any AI tasks requiring comprehension of long texts and contextual relationships.
M2-BERT outperforms some larger models on long-context benchmarks while being more computationally efficient due to its advanced Monarch Mixer architecture.
The model generates embeddings with a dimensionality of 768, making it compatible with common vector search frameworks.
Yes, Cyfuture Cloud offers M2-BERT 80M 8K Retrieval via API deployment for scalable, on-demand usage.
Industries like legal, finance, research, and customer support that rely heavily on text retrieval from large document sets benefit significantly.
Simply request deployment through Cyfuture's AI platform and use APIs to run retrieval queries on your datasets.
Cyfuture Cloud offers flexible monthly reserved and on-demand pricing tailored to varying workload needs and usage volumes.
If your site is currently hosted somewhere else and you need a better plan, you may always move it to our cloud. Try it and see!
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