RankLLM

RankLLM

Castorini
Recursive Flint

Recursive Flint

Recursive
RankLLM Recursive Flint

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RankLLM:

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.
Recursive Flint:

About

Recursive Flint is a 40-billion-parameter mixture-of-experts language model for agentic coding on local hardware. It activates about 2.5 billion parameters per token and supports reasoning, multi-turn tool use, and context windows up to 512,000 tokens. Developers can use Flint with coding agents to inspect codebases, fix bugs, implement features, and write tests while running inference on their own hardware. Its weights are published under the Apache 2.0 license. Flint works with llama.cpp, Ollama, Unsloth, LM Studio, vLLM, and SGLang; Recursive also provides rec, an inference engine optimized for Apple Silicon M4 Pro and M5 Pro/Max. Setup documentation and examples help developers run the model locally. Flint is for developers and technical teams that want to operate and adapt a code-focused model on their own systems.
RankLLM:

Platforms Supported

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

Platforms Supported

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

Audience

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

Audience

Software developers and technical teams building or using coding agents, especially those seeking to run a coding model locally.
RankLLM:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Recursive Flint:

Support

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

API

Offers API Supported
Recursive Flint:

API

Offers API Supported
RankLLM:

Screenshots and Videos

Recursive Flint:

Screenshots and Videos

No images available
RankLLM:

Pricing

Free
Free Version Supported
Free Trial Not Supported
Recursive Flint:

Pricing

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

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
Recursive Flint:

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
RankLLM:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Recursive Flint:

Training

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

Company Information

Castorini
Canada
github.com/castorini/rank_llm/
Recursive Flint:

Company Information

Recursive
Founded: 2026
United States
recursive.com/updates/introducing-recursive-flint
RankLLM:

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RankLLM:
Recursive Flint:
Devstral

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Mistral AI
RankLLM:

Categories

Reranking Models Supported
Recursive Flint:

Categories

AI Coding Models Supported
AI Models Supported
RankLLM:

Integrations

Gemini Supported
Gemini Enterprise Supported
LM Studio Not Supported
Llama Supported
Mistral AI Supported
NVIDIA TensorRT Supported
Ollama Not Supported
OpenAI Supported
OpenRouter Not Supported
Python Supported
Qwen Supported
RankGPT Supported
Unsloth Not Supported
vLLM Not Supported
Recursive Flint:

Integrations

Gemini Not Supported
Gemini Enterprise Not Supported
LM Studio Supported
Llama Not Supported
Mistral AI Not Supported
NVIDIA TensorRT Not Supported
Ollama Supported
OpenAI Not Supported
OpenRouter Supported
Python Not Supported
Qwen Not Supported
RankGPT Not Supported
Unsloth Supported
vLLM Supported
RankLLM:
Claim RankLLM and update features and information
Claim RankLLM and update features and information
Recursive Flint:
Claim Recursive Flint and update features and information
Claim Recursive Flint and update features and information