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What is Leanstral 1.5?

Leanstral 1.5 is a model under the Apache-2.0 license, crafted for proficient proof engineering within Lean 4, with the goal of improving both the functionality and accessibility of formal verification. This model features a remarkable total of 119 billion parameters, of which 6 billion are actively utilized, representing a major leap in efficiency for tasks related to theorem proving, agent-based proof engineering, and practical code verification. The evolution of Leanstral 1.5 included an extensive three-phase training regimen, which encompassed mid-training, supervised fine-tuning, and reinforcement learning through CISPO. In a multiturn environment, the model is designed to accept a theorem statement, propose a proof, and iteratively adjust its strategy based on input from the Lean compiler until the proof compiles successfully or resources run out. Operating in the code agent framework, Leanstral acts similarly to a developer navigating through a file system, enabling it to modify files, run bash commands, and engage with the Lean language server to track goals, errors, and type information in real time. This cutting-edge methodology not only simplifies the proof engineering workflow but also significantly enriches the overall user experience in formal verification tasks, making the process both more efficient and user-friendly. Furthermore, the integration of these capabilities positions Leanstral 1.5 as a transformative tool in the landscape of formal verification.

What is ChatGLM?

ChatGLM-6B is a dialogue model that operates in both Chinese and English, constructed on the General Language Model (GLM) architecture, featuring a robust 6.2 billion parameters. Utilizing advanced model quantization methods, it can efficiently function on typical consumer graphics cards, needing just 6GB of video memory at the INT4 quantization tier. This model incorporates techniques similar to those utilized in ChatGPT but is specifically optimized to improve interactions and dialogues in Chinese. After undergoing rigorous training with around 1 trillion identifiers across both languages, it has also benefited from enhanced supervision, fine-tuning, self-guided feedback, and reinforcement learning driven by human input. As a result, ChatGLM-6B has shown remarkable proficiency in generating responses that resonate effectively with users. Its versatility and high performance render it an essential asset for facilitating bilingual communication, making it an invaluable resource in multilingual environments.

Media

Media

Integrations Supported

Integrations Supported

APIPark
LLaMA-Factory

API Availability

Has API

API Availability

Pricing Information

Free
Free Version

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Mistral AI

Date Founded

2023

Company Location

France

Company Website

mistral.ai/news/leanstral-1-5/

Company Facts

Organization Name

Z.ai

Date Founded

2019

Company Location

China

Company Website

chatglm.cn/

Categories and Features

AI Models

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

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