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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Llms
  5. Code Llama vs MosaicML Pretrained Transformer

Code Llama vs MosaicML Pretrained Transformer

OverviewComparisonAlternatives

Overview

MosaicML Pretrained Transformer
MosaicML Pretrained Transformer
Stacks0
Followers0
Votes0
GitHub Stars4.3K
Forks575
Code Llama
Code Llama
Stacks5
Followers4
Votes0

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Detailed Comparison

MosaicML Pretrained Transformer
MosaicML Pretrained Transformer
Code Llama
Code Llama

It is a transformer trained from scratch on 1T tokens of text and code. It is open source, available for commercial use, and matches the quality of LLaMA-7B.

It is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. It is built on top of Llama 2 and is available for free.

Licensed for commercial use; Trained on a large amount of data; Prepared to handle extremely long inputs; Optimized for fast training and inference; Equipped with highly efficient open-source training code
State-of-the-art LLM for coding; Free for research and commercial use; It outperformed state-of-the-art publicly available LLMs on code tasks
Statistics
GitHub Stars
4.3K
GitHub Stars
-
GitHub Forks
575
GitHub Forks
-
Stacks
0
Stacks
5
Followers
0
Followers
4
Votes
0
Votes
0
Integrations
PyTorch
PyTorch
Docker
Docker
Hugging Face
Hugging Face
CUDA
CUDA
Python
Python
LLaMA
LLaMA

What are some alternatives to MosaicML Pretrained Transformer, Code Llama?

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.

LLaMA

LLaMA

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

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.

FlowEngine

FlowEngine

Build n8n workflows with AI and deploy in 30 seconds. Free hosting, workflow analyzer, and 100+ LLM models included.

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.

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