Laguna XS 2.1

Laguna XS 2.1

Poolside
RankLLM

RankLLM

Castorini
+
+

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About

Laguna XS 2.1 is an upgraded open weight agentic coding model designed for long-horizon work on a local machine. It uses a 33-billion-parameter Mixture-of-Experts architecture with 3 billion activated parameters per token, retaining the same efficient architecture as Laguna XS.2 while improving multilingual software engineering and terminal-style task performance. The model is built to support coding agents that inspect repositories, reason through complex changes, use tools, execute commands, and continue working across extended tasks. It is served with a 256K context window, giving agents room to work with large codebases, lengthy histories, and multi-step workflows. Laguna XS 2.1 is supported by vLLM, SGLang, NVIDIA TensorRT-LLM, Hugging Face Transformers, and Ollama, with native llama.cpp support planned. It is available in BF16, FP8, INT4, and NVFP4 checkpoints, allowing developers to choose between maximum fidelity and configurations suited to tighter VRAM or compute budgets.

About

RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. It offers a suite of rerankers, pointwise models like MonoT5, pairwise models like DuoT5, and listwise models compatible with vLLM, SGLang, or TensorRT-LLM. Additionally, it supports RankGPT and RankGemini variants, which are proprietary listwise rerankers. It includes modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. RankLLM integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Local-first developer tooling teams that need an efficient open model for persistent coding agents on limited hardware

Audience

Academic researchers and developers seeking a solution offering tools for implementing and evaluating listwise reranking with large language models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Poolside
Founded: 2023
United States
poolside.ai/blog/introducing-laguna-xs-2-1

Company Information

Castorini
Canada
github.com/castorini/rank_llm/

Alternatives

Alternatives

RankGPT

RankGPT

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ColBERT

ColBERT

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LongCat-2.0

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Mistral Large 3

Mistral AI

Categories

Categories

Integrations

Agent Client Protocol (ACP)
Cline
Gemini
Hermes Agent
Hugging Face
IntelliJ IDEA
Kilo Code
Llama
Mistral AI
NVIDIA TensorRT
Nous Portal
OpenAI
OpenAI Codex
OpenClaw
OpenCode
Python
RankGPT
Roo Code
Visual Studio
Zed

Integrations

Agent Client Protocol (ACP)
Cline
Gemini
Hermes Agent
Hugging Face
IntelliJ IDEA
Kilo Code
Llama
Mistral AI
NVIDIA TensorRT
Nous Portal
OpenAI
OpenAI Codex
OpenClaw
OpenCode
Python
RankGPT
Roo Code
Visual Studio
Zed
Claim Laguna XS 2.1 and update features and information
Claim Laguna XS 2.1 and update features and information
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Claim RankLLM and update features and information