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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Llms
  5. DeepSeek LLM vs LLaMA

DeepSeek LLM vs LLaMA

OverviewComparisonAlternatives

Overview

LLaMA
LLaMA
Stacks67
Followers25
Votes1
DeepSeek LLM
DeepSeek LLM
Stacks10
Followers2
Votes0
GitHub Stars6.6K
Forks1.0K

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Detailed Comparison

LLaMA
LLaMA
DeepSeek LLM
DeepSeek LLM

It is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI.

It is an advanced language model comprising 67 billion parameters. It has been trained from scratch on a vast dataset of 2 trillion tokens in both English and Chinese.

65-billion-parameter Large Language Model; Works by taking a sequence of words as an input and predicts the next word to recursively generate text
Advanced LLM comprising 67 billion parameters; Superior general capabilities; Proficient in coding and math
Statistics
GitHub Stars
-
GitHub Stars
6.6K
GitHub Forks
-
GitHub Forks
1.0K
Stacks
67
Stacks
10
Followers
25
Followers
2
Votes
1
Votes
0
Integrations
No integrations available
Python
Python
vLLM
vLLM
Hugging Face
Hugging Face

What are some alternatives to LLaMA, DeepSeek LLM?

Grok-1

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

Google Gemini

It is Google’s largest and most capable AI model. It is built to be multimodal, it can generalize, understand, operate across, and combine different types of info — like text, images, audio, video, and code.

Whisper

Whisper

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.

Grok 4

Grok 4

Try Grok 4 on GPT Proto. Access xAI’s most advanced 1.7T LLM with 130K context, multimodal support, and real-time data integration for dynamic analysis.

OpenAI

OpenAI

Creating safe artificial general intelligence that benefits all of humanity. Our work to create safe and beneficial AI requires a deep understanding of the potential risks and benefits, as well as careful consideration of the impact.

Claude

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

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

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

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

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.

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