Search Results for "mla"
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Showing 16 open source projects for "mla"
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FlashMLA
FlashMLA: Efficient Multi-head Latent Attention Kernels
FlashMLA is a high-performance decoding kernel library designed especially for Multi-Head Latent Attention (MLA) workloads, targeting NVIDIA Hopper GPU architectures. It provides optimized kernels for MLA decoding, including support for variable-length sequences, helping reduce latency and increase throughput in model inference systems using that attention style. The library supports both BF16 and FP16 data types, and includes a paged KV cache implementation with a block size of 64 to efficiently manage memory during decoding. ... -
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DeepSeek-V3
Powerful AI language model (MoE) optimized for efficiency/performance
DeepSeek-V3 is a robust Mixture-of-Experts (MoE) language model developed by DeepSeek, featuring a total of 671 billion parameters, with 37 billion activated per token. It employs Multi-head Latent Attention (MLA) and the DeepSeekMoE architecture to enhance computational efficiency. The model introduces an auxiliary-loss-free load balancing strategy and a multi-token prediction training objective to boost performance. Trained on 14.8 trillion diverse, high-quality tokens, DeepSeek-V3 underwent supervised fine-tuning and reinforcement learning to fully realize its capabilities. ... -
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OpenMythos
A theoretical reconstruction of the Claude Mythos architecture
OpenMythos is an experimental, open-source implementation that attempts to reconstruct a hypothesized architecture behind advanced language models using a design called a Recurrent-Depth Transformer. The project explores the idea that instead of stacking hundreds of unique transformer layers, a smaller set of layers can be reused iteratively during inference to achieve deeper reasoning without increasing parameter count. It divides computation into three main stages, including a... -
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Kimi Linear
An expressive, efficient attention architecture
Kimi Linear is a hybrid linear attention architecture developed for efficient language modeling across short, long-context, and reinforcement learning workloads. Its core mechanism, Kimi Delta Attention, refines the gated delta rule with fine-grained controls for managing finite-state recurrent memory. The architecture combines KDA and global Multi-head Latent Attention layers at a 3:1 ratio to preserve model quality while reducing memory demands. Released Base and Instruct checkpoints... -
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InfiAgent
Build your own Cowork, AI Scientist and other SoTA Agents
infiAgent is an open-source AI agent framework for building powerful, long-running autonomous agents capable of tackling complex tasks without collapsing under growing context or tool invocation histories. Designed as a “Multi-Level Agent” (MLA) system, it externalizes persistent state to the file system so that agents can operate over unlimited runtime without the need for token-intensive context compression, enabling workflows such as research paper drafting, experiments, coding, and document generation to run reliably. The framework uses a serial multi-agent hierarchy where specialized agents coordinate in tree-structured paths for clear task delegation and minimal tool conflicts, while batch file operations and persistent workspaces ensure reproducibility and traceability. ... -
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CiteFlow
Read research PDFs and organize source-linked notes and citations
...Read sources side by side, highlight passages, keep page-linked notes and preserve citation context. Search exact wording locally, or install an optional model for beta semantic suggestions. Optional local OCR supports scanned sources. Prepare APA, MLA, Chicago and IEEE citation drafts, then check metadata, quotations and references. Online metadata lookup, title translation, updates and component downloads are separate network actions; local processing does not mean every feature is offline. Current downloads are available from the Official Download link: https://osenpa.com/citeflow. ... -
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An all-purpose Citation Generator used for sourcing documents. The program allows users to choose between MLA, APA, and Chicago-Tribune source methods. The projected is designed to help student document their source material properly.
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...The interface focuses on easy searching, note-taking, and electronic article storage, but also supports traditional citation and bibliography management (in APA and MLA formats).
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Helpful tools for the college students. Eg. a java alarm clock playing any playlist you want, a tool to create a MLA style bibliography entry given a URL, etc.
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WordCite is a toolbar add-in for Microsoft Word that allows non-tech-savvy users to add citations to their documents in various, expandable styles (MLA, APA, etc), with proper punctuation, formatting, etc.
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Java-based program to format references of various media to various styles. Currently books, journals and interviews can be formatted as MLA, APA, and Chicago-styles.
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Generates correctly formatted(MLA, APA, Chicago, CPE, Turabian) entries for works cited or bibliography pages.
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FedRAMP 20x Toolkit
Open-source KSI mappings + OSCAL examples for FedRAMP 20x.
Boundera/fedramp-20x-toolkit is the practitioner-grade reference for mapping FedRAMP 20x Key Security Indicators (KSIs) to AWS evidence sources. Covers the IAM family (KSI-IAM-MFA, KSI-IAM-APM, KSI-IAM-SNU, KSI-IAM-JIT, KSI-IAM-ELP, KSI-IAM-SUS, KSI-IAM-AAM) and MLA family (KSI-MLA-OSM, KSI-MLA-RVL, KSI-MLA-EVC, KSI-MLA-LET, KSI-MLA-ALA) in depth, with machine-readable YAML mappings, real AWS Config rule references, NIST 800-53 control crosswalks, and per-indicator evidence shapes that compliance engineers can use directly during 3PAO preparation. Includes the full FedRAMP machine-readable documentation (FRMR v0.9.43-beta) and a Python ksi-validator CLI for OSCAL package validation. ... -
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MyBib.NET is an Open-source, MLA-compliant Bibliography / Sited Sources page generator designed for simplicity and straightforwardness.
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Ling 3.0 Tiny
Lightweight MoE model for local reasoning, coding, and AI agents
Ling-3.0-tiny is inclusionAI’s lightweight hybrid reasoning Mixture-of-Experts model, designed to provide capable reasoning and agentic performance at low inference cost. It contains 7.9B total parameters while activating only 1.3B per token, using a hybrid architecture that alternates Kimi Delta Attention and Multi-Head Latent Attention with a sparse 128-expert MoE. The model supports both fast responses and configurable multi-step thinking, covering general agents, coding, mathematics,... -
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GigaChat 3 Ultra
High-performance MoE model with MLA, MTP, and multilingual reasoning
GigaChat 3 Ultra is a flagship instruct-model built on a custom Mixture-of-Experts architecture with 702B total and 36B active parameters. It leverages Multi-head Latent Attention to compress the KV cache into latent vectors, dramatically reducing memory demand and improving inference speed at scale. The model also employs Multi-Token Prediction, enabling multi-step token generation in a single pass for up to 40% faster output through speculative and parallel decoding techniques. Its...
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