library_name, language, license, quantized_by, pipeline_tag, lm_studio, base_model

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

💫 Community Model> Aya 23 8B by Cohere For AI

👾 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:

• https://huggingface.co/datasets/CohereForAI/aya_collection

More technical details can be found from Cohere here

Special thanks

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

🙏 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

LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.