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Tools/StarCoder vs Codestral
StarCoder

StarCoder

open-source-model
vs
Codestral

Codestral

open-source-model

StarCoder vs Codestral — Comparison

Overview
What each tool does and who it's for

StarCoder

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

The model was trained on GitHub code as well as additional selected data sources such as Arxiv and Wikipedia. As such it is not an instruction model and commands like "Write a function that computes the square root." do not work well. Here are some examples to get started with the model. You can find a script for fine-tuning in StarCoder2's GitHub repository. First, make sure to install transformers from source: The pretraining dataset of the model was filtered for permissive licenses and code with no license only. Nevertheless, the model can generate source code verbatim from the dataset. The code's license might require attribution and/or other specific requirements that must be respected. We provide a search index that let's you search through the pretraining data to identify where generated code came from and apply the proper attribution to your code. The model has been trained on source code from 600+ programming languages. The predominant language in source is English although other languages are also present. As such the model is capable to generate code snippets provided some context but the generated code is not guaranteed to work as intended. It can be inefficient, contain bugs or exploits. See the paper for an in-depth discussion of the model limitations. The model is licensed under the BigCode OpenRAIL-M v1 license agreement. You can find the full agreement here.

Codestral

Empowering developers and democratising coding with Mistral AI.

Based on the provided content, there is insufficient meaningful user feedback to summarize opinions about Codestral. The social mentions consist mainly of unrelated spam posts, generic links, and simple YouTube video titles that just say "Codestral AI" without any actual reviews or user commentary. The only potentially relevant mention is a GitHub pricing update for vertex-ai that adds 70 new models, but this doesn't provide specific user sentiment about Codestral itself. More substantial user reviews and genuine social media discussions would be needed to provide an accurate assessment of user opinions about this software tool.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
1
2,050
GitHub Stars
—
192
GitHub Forks
—
—
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

StarCoder

0% positive100% neutral0% negative

Codestral

0% positive100% neutral0% negative
Pricing

StarCoder

tiered

Codestral

tiered
Use Cases
When to use each tool

Codestral (3)

A model fluent in 80+ programming languagesSetting the Bar for Code Generation PerformancePerformance.
Features

Only in StarCoder (6)

bigcode/the-stack-v2-train-full-ids💫 StarCoder2StarCoder 2 and The Stack v2: The Next GenerationEfficient Training of Language Models to Fill in the MiddleFlashAttention: Fast and Memory-Efficient Exact Attention with IO-AwarenessLongformer: The Long-Document Transformer

Only in Codestral (8)

Download and test Codestral.Use Codestral via its dedicated endpointBuild with Codestral on la PlateformeUse Codestral in your favourite coding and building environment.Why MistralExploreBuildLegal
Developer Ecosystem
29
GitHub Repos
—
1,804
GitHub Followers
—
20
npm Packages
—
—
HuggingFace Models
—
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

StarCoder

No data yet

Codestral

token cost (1)
Product Screenshots

StarCoder

StarCoder screenshot 1StarCoder screenshot 2

Codestral

Codestral screenshot 1
Company Intel
information technology & services
Industry
information technology & services
690
Employees
890
$395.7M
Funding
$2.9B
Series D
Stage
Series C
Supported Languages & Categories

StarCoder

AI/ML

Codestral

AI/MLDevOpsDeveloper Tools
View StarCoder Profile View Codestral Profile