QuantFactory/aya-expanse-8b-GGUF
This is quantized version of
CohereForAI/aya-expanse-8b created using llama.cpp
Original Model Card
Model Card for Aya Expanse 8B
Aya Expanse is an open-weight research release of a model with highly advanced multilingual capabilities. It focuses on pairing a highly performant pre-trained
Command family of models with the result of a year’s dedicated research from
Cohere For AI, including
data arbitrage,
multilingual preference training,
safety tuning, and
model merging. The result is a powerful multilingual large language model serving 23 languages.
We cover 23 languages: Arabic, Chinese (simplified & traditional), Czech, Dutch, English, French, German, Greek, Hebrew, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Persian, Polish, Portuguese, Romanian, Russian, Spanish, Turkish, Ukrainian, and Vietnamese
This model card corresponds to the 8-billion version of the Aya Expanse model. We also released an 32-billion version which you can find
here.
- Developed by: Cohere For AI
- Point of Contact: Cohere For AI: cohere.for.ai
- License: CC-BY-NC, requires also adhering to C4AI's Acceptable Use Policy
- Model: Aya Expanse 8B
- Model Size: 8 billion parameters
Try Aya Expanse
Before downloading the weights, you can try out Aya Expanse in our hosted
Hugging Face Space.
Usage
Please install transformers from the source repository.
1# pip install 'git+https://github.com/huggingface/transformers.git'
2from transformers import AutoTokenizer, AutoModelForCausalLM
3
4model_id = "CohereForAI/aya-expanse-8b"
5tokenizer = AutoTokenizer.from_pretrained(model_id)
6model = AutoModelForCausalLM.from_pretrained(model_id)
7
8# Format the message with the chat template
9messages = [{"role": "user", "content": "Anneme onu ne kadar sevdiğimi anlatan bir mektup yaz"}]
10input_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt")
11## <BOS_TOKEN><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Anneme onu ne kadar sevdiğimi anlatan bir mektup yaz<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
12
13gen_tokens = model.generate(
14 input_ids,
15 max_new_tokens=100,
16 do_sample=True,
17 temperature=0.3,
18 )
19
20gen_text = tokenizer.decode(gen_tokens[0])
21print(gen_text)
Example Notebooks
Fine-Tuning:
- This notebook showcases a detailed use of fine-tuning Aya Expanse on more languages.
Example Use cases:
The following notebooks contributed by Cohere For AI Community members show how Aya Expanse can be used for different use cases:
Model Details
Input: Models input text only.
Output: Models generate text only.
Model Architecture: Aya Expanse 8B is an auto-regressive language model that uses an optimized transformer architecture. Post-training includes supervised finetuning, preference training, and model merging.
Languages covered: The model is particularly optimized for multilinguality and supports 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
Context length: 8K
Evaluation
Model Card Contact
For errors or additional questions about details in this model card, contact
info@for.ai.
Terms of Use
We hope that the release of this model will make community-based research efforts more accessible, by releasing the weights of a highly performant multilingual model to researchers all over the world. This model is governed by a
CC-BY-NC License with an acceptable use addendum, and also requires adhering to
C4AI's Acceptable Use Policy.
Try the model today
You can try Aya Expanse in the Cohere
playground here. You can also use it in our dedicated Hugging Face Space
here.
