Codestral

Codestral: Ein Open-Weight-Codemodell von Mistral AI

Einführung

Codestral ist ein generatives KI-Modell, das speziell für die Codegenerierung entwickelt wurde. Es unterstützt Entwickler beim Schreiben und Interagieren mit Code über eine gemeinsame API.


Aktualisiert am:

31. Mai 2024

Monatliche Besucher:

SimilarWeb Icon
4.0M

Partnerprogramm:

No

Codestral's Übersicht

Codestral is an open-weight generative AI model designed for code generation tasks. Trained on 80+ programming languages, including Python, Java, C, C++, JavaScript, and Bash, Codestral can assist developers in various coding environments. It saves time and effort by completing coding functions, writing tests, and filling in partial code. With a larger context window of 32k, Codestral outperforms other models in code generation performance. It performs well in Python, SQL, and other languages, as evaluated through benchmarks. Codestral can be downloaded on HuggingFace and used via the dedicated endpoint codestral.mistral.ai. It is also available on the API endpoint api.mistral.ai. Developers can interact with Codestral naturally through Le Chat, a conversational interface. Integration with popular tools like LlamaIndex, LangChain, VSCode, and JetBrains enhances its usability. Codestral is a powerful tool that empowers developers with code generation and understanding.


Codestral's Eigenschaften

  • Code generation assistance

  • Completion of coding functions

  • Partial code filling


Codestral's FRAGEN UND ANTWORTEN


Codestral's Preisgestaltung

Codestral is a 22B open-weight model licensed under the new Mistral AI Non-Production License (MNPL), which means that you can use it for research and testing purposes. It can be downloaded on HuggingFace.

Codestral's Analytik

Website-Übersicht

Wichtige Leistungskennzahlen für mistral.ai

Absprungrate

39.05%

Seiten / Besuch

3.48

Besuche insgesamt

3,989,987

Zeit vor Ort

6m 7s

Globaler Rang

#16,970

Land Rang

#3,503

Top-Regionen

Verteilung des Verkehrs nach Ländern

  • 1.
    Russia25.95%
  • 2.
    France14.05%
  • 3.
    United States12.87%
  • 4.
    India3.06%

Besucher insgesamt

Monatliche Besucherstatistik für die letzten 3 Monate

Tendenz fallend by 2.1% diesen Monat
April - June 2024

Quellen des Verkehrs

Verteilung der Verkehrsquellen

Social:
4.8%
Paid Referrals:
0.0%
Mail:
1.3%
Referrals:
2.2%
Search:
27.9%
Direct:
63.8%
Dominante Quelle: Direct
63.8% des Gesamtverkehrs

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