InternLM vs Whisper
Overview
🔥 Trending in Text & Language Models on StackShare
Detailed Comparison
It is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification. | It is an open-source project that has released a 7 billion parameter base model, a chat model tailored for practical scenarios, and a training system. |
Automatic speech recognition;
Trained on a large dataset of diverse audio;
Multi-task model;
Can perform multilingual speech recognition;
Can perform speech translation and language identification | Leverages trillions of high-quality tokens for training to establish a powerful knowledge base;
Supports an 8k context window length, enabling longer input sequences and stronger reasoning capabilities;
Provides a versatile toolset for users to flexibly build their own workflows |
Statistics | |
GitHub Stars 90.3K | GitHub Stars 7.1K |
GitHub Forks 11.3K | GitHub Forks 498 |
Stacks 24 | Stacks 1 |
Followers 28 | Followers 1 |
Votes 1 | Votes 0 |
Integrations | |
What are some alternatives to Whisper, InternLM?
Grok-1
It is the base model weights and network architecture of Grok-1, the large language model. Grok-1 is a 314 billion parameter Mixture-of-Experts model trained from scratch by xAI.
Google Gemini
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LLaMA
It is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.
Grok 4
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OpenAI
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Claude
It is a next-generation AI assistant. It is accessible through chat interface and API. It is capable of a wide variety of conversational and text-processing tasks while maintaining a high degree of reliability and predictability.
GPT-4 by OpenAI
It is a large multimodal model (accepting text inputs and emitting text outputs today, with image inputs coming in the future) that can solve difficult problems with greater accuracy than any of our previous models, thanks to its broader general knowledge and advanced reasoning capabilities.
Cohere.com
It offers an API to add cutting-edge language processing to any system. Through training, users can create massive models customized to their use case and trained on their data.
Mistral 7B
It is a small, yet powerful model adaptable to many use cases. It is better than Llama 2 13B on all benchmarks, has natural coding abilities, and 8k sequence length. We made it easy to deploy on any cloud.
DeepSeek Coder
It is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language. There are various sizes of the code model, ranging from 1B to 33B versions.
