aya-23-8B-GGUF / README.md
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metadata
library_name: transformers
language:
  - en
  - fr
  - de
  - es
  - it
  - pt
  - ja
  - ko
  - zh
  - ar
  - el
  - fa
  - pl
  - id
  - cs
  - he
  - hi
  - nl
  - ro
  - ru
  - tr
  - uk
  - vi
license: cc-by-nc-4.0
quantized_by: bartowski
pipeline_tag: text-generation
lm_studio:
  param_count: 8b
  use_case: general
  release_date: 23-05-2024
  model_creator: CohereForAI
  prompt_template: Cohere Command R
  system_prompt: You are a helpful AI assistant
  base_model: cohere
  original_repo: CohereForAI/aya-23-8B
base_model: CohereForAI/aya-23-8B

πŸ’« Community Model> Aya 23 8B by Cohere For AI

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

Model creator: Cohere For AI
Original model: aya-23-8B
GGUF quantization: provided by bartowski based on llama.cpp release b2965

Model Summary:

Aya 23 are brand new instruction tuned multilingual models from Cohere. This model should perform well at logic across a wide variety of languages.
This is the 8B version of the model, and seems to perform well for its size across multi-lingual benchmarks.

Prompt template:

Choose the Cohere Command R preset in your LM Studio.

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

<BOS_TOKEN><|START_OF_TURN_TOKEN|><|SYSTEM_TOKEN|>
{system_prompt}
<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|USER_TOKEN|>
{prompt}
<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>

Technical Details

Aya 23 covers the following languages:

  • Arabic, Chinese (simplified & traditional), Czech, Dutch, English, French, German, Greek, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Turkish, Ukrainian, and Vietnamese

The Aya training dataset can be found here:

More technical details can be found from Cohere here

Special thanks

πŸ™ Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

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

Disclaimers

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