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metadata
license_link: https://mistral.ai/licences/MNPL-0.1.md
tags:
  - code
language:
  - code
license: apache-2.0
quantized_by: bartowski
pipeline_tag: text-generation
lm_studio:
  param_count: 22b
  use_case: coding
  release_date: 29-05-2024
  model_creator: mistralai
  prompt_template: Mistral Instruct
  system_prompt: none
  base_model: mistral
  original_repo: mistralai/Codestral-22B-v0.1
base_model: mistralai/Codestral-22B-v0.1

πŸ’« Community Model> Codestral 22B v0.1 by Mistral AI

πŸ‘Ύ LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord.

Model creator: Mistral AI
Original model: Codestral-22B-v0.1
GGUF quantization: provided by bartowski based on llama.cpp release b3024

Model Summary:

Codestral is a brand new coding model released by the Mistral team. This 22B model is the first of its size and the first ever specialized model released by this team.
Supporting both instruction prompting and popular Fill in the Middle (FIM) tokens for predictions, this model should be all around great for all your coding tasks.

Prompt template:

Choose the Mistral Instruct preset in your LM Studio.

Under the hood, the model will see a prompt that's formatted like so:

<s>[INST]  {prompt} [/INST]</s>

This model also supports the following FIM tokens:

[PREFIX], [SUFFIX]

Technical Details

Codestral 22B 0.1 is trained on a dataset of 80+ programming languages including of course Python, Java, C++, Javascript, and Bash.

It supports both instruction querying as well as Fill in the Middle querying.

More details and benchmark information can be found on their blogpost here: https://mistral.ai/news/codestral/

Special thanks

πŸ™ Special thanks to Georgi Gerganov and the whole team working on llama.cpp

πŸ™ Special thanks to Kalomaze and Dampf for their work on the dataset (linked here) that was used for calculating the imatrix for all sizes.

Disclaimers

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