LexVec

LexVec

Alexandre Salle
LongCat-2.0

LongCat-2.0

LongCat
+
+

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About

LexVec is a word embedding model that achieves state-of-the-art results in multiple natural language processing tasks by factorizing the Positive Pointwise Mutual Information (PPMI) matrix using stochastic gradient descent. This approach assigns heavier penalties for errors on frequent co-occurrences while accounting for negative co-occurrences. Pre-trained vectors are available, including a common crawl dataset with 58 billion tokens and 2 million words in 300 dimensions, and an English Wikipedia 2015 + NewsCrawl dataset with 7 billion tokens and 368,999 words in 300 dimensions. Evaluations demonstrate that LexVec matches or outperforms other models like word2vec in terms of word similarity and analogy tasks. The implementation is open source under the MIT License and is available on GitHub.

About

LongCat-2.0 is a 1.6 trillion total-parameter Mixture-of-Experts language model built on AI ASIC superpods, with about 48 billion parameters activated per token and strong performance across coding and agentic tasks. It is a substantial step up from previous LongCat models, combining large-scale sparse architecture with dedicated post-training for real-world software engineering, tool use, long-context reasoning, and multi-step agent workflows. LongCat-2.0 is trained and deployed entirely on AI ASIC superpods, with pretraining spanning more than 35 trillion tokens and millions of accelerator-hours, demonstrating frontier-scale training on alternative hardware platforms. To strengthen long-horizon tasks, the model introduces LongCat Sparse Attention and is trained on hundreds of billions of tokens of 1M-context data, giving it native support for ultra-long context tasks and reliable long-document understanding.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Computational linguists and NLP researchers searching for a tool to improve their semantic analysis and language modeling

Audience

Developers and AI teams seeking a high-performance agentic model for coding, tool use, multi-step reasoning, and long-context workflows

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Alexandre Salle
Brazil
github.com/alexandres/lexvec

Company Information

LongCat
Founded: 2023
China
longcat.chat/blog/longcat-2.0/

Alternatives

GloVe

GloVe

Stanford NLP

Alternatives

Claude Sonnet 5

Claude Sonnet 5

Anthropic
GLM-5.2

GLM-5.2

Z.ai
Claude Opus 4.8

Claude Opus 4.8

Anthropic
GLM-5

GLM-5

Z.ai
word2vec

word2vec

Google

Categories

Embedding Models Supported

Categories

AI Coding Models Supported
AI Models Supported

Integrations

Claude Code Not Supported
Hermes Agent Not Supported
OpenClaw Not Supported

Integrations

Claude Code Supported
Hermes Agent Supported
OpenClaw Supported
Claim LexVec and update features and information
Claim LexVec and update features and information
Claim LongCat-2.0 and update features and information
Claim LongCat-2.0 and update features and information