InternLM

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InternLM is an open-source large language model series that offers advanced reasoning capabilities and supports commercial applications. It provides various models, including InternLM3-8B-Instruct, with API access and deployment options.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is InternLM?

InternLM is an open-source large language model series developed by Shanghai AI Laboratory, featuring models like InternLM3-8B-Instruct, InternLM2.5, and InternLM2. This series is designed for general-purpose usage and advanced reasoning, offering enhanced performance at reduced training costs compared to other LLMs of similar scale. It supports deep thinking for complex reasoning tasks and normal response modes for fluent user interactions. The models are available for commercial application and provide API access, with deployment options via Transformers, LMDeploy, and SGLang. InternLM also includes reward models for fine-tuning chat models and offers strong capabilities in long-context processing, reasoning, and coding.

Best used for

Ideal for developers and data scientists who need to build and deploy advanced large language models, fine-tune models for specific tasks, and integrate AI capabilities into applications. Especially valuable for those seeking open-source solutions with strong reasoning and long-context processing.

Common actions

develop AI models

deploy LLMs

fine-tune models

build conversational AI

github copilotface swapping"AI Agents"workflowscollaborationlow-code/no-codedeepfakeautomated workflowopen-source

Capabilities

Key features

InternLM3-8B-Instruct model
Commercial application support
API access
Long-context processing
Advanced reasoning capabilities
Reward models
Multiple deployment options

Target Audience

developerdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the key differences between InternLM3 and previous versions?

InternLM3-8B-Instruct offers state-of-the-art performance on reasoning and knowledge-intensive tasks, surpassing models like Llama3.1-8B and Qwen2.5-7B, while being trained on significantly fewer tokens. It also introduces enhanced deep thinking capabilities for complex problem-solving.

Can InternLM models be used for commercial applications?

Yes, the InternLM series, including InternLM3-8B-Instruct, is officially released with support for commercial applications. Users can leverage these models for various business-oriented projects and deployments.

What deployment options are available for InternLM models?

InternLM models can be deployed using popular frameworks like Transformers, LMDeploy, and SGLang. LMDeploy, for instance, allows for local batch inference and launching an OpenAI-compatible server for easy integration into existing systems.

Does InternLM support long-context processing?

Yes, InternLM2.5-Chat-1M supports 1 million long-context with performance comparable to InternLM2.5-Chat. The InternLM2 series also features advanced capabilities in long-context processing, making it suitable for tasks requiring extensive contextual understanding.

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