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--- |
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inference: false |
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library_name: transformers |
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language: |
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- en |
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- fr |
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- de |
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- es |
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- it |
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- pt |
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- ja |
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- ko |
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- zh |
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- ar |
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- el |
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- fa |
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- pl |
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- id |
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- cs |
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- he |
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- hi |
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- nl |
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- ro |
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- ru |
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- tr |
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- vi |
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license: cc-by-nc-4.0 |
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extra_gated_prompt: By submitting this form, you agree to the [License Agreement](https://cohere.com/c4ai-cc-by-nc-license) and |
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acknowledge that the information you provide will be collected, used, and shared |
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in accordance with Cohere’s [Privacy Policy]( https://cohere.com/privacy). You’ll |
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receive email updates about C4AI and Cohere research, events, products and services. |
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You can unsubscribe at any time. |
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extra_gated_fields: |
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Name: text |
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Affiliation: text |
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Country: country |
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I agree to use this model for non-commercial use ONLY: checkbox |
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tags: |
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- llama-cpp |
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- gguf-my-repo |
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base_model: CohereForAI/aya-expanse-8b |
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--- |
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# Triangle104/aya-expanse-8b-Q4_K_M-GGUF |
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This model was converted to GGUF format from [`CohereForAI/aya-expanse-8b`](https://huggingface.co/CohereForAI/aya-expanse-8b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. |
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Refer to the [original model card](https://huggingface.co/CohereForAI/aya-expanse-8b) for more details on the model. |
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--- |
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Model details: |
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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. |
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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 |
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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. |
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Developed by: Cohere For AI |
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Point of Contact: Cohere For AI: cohere.for.ai |
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License: CC-BY-NC, requires also adhering to C4AI's Acceptable Use Policy |
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Model: Aya Expanse 8B |
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Model Size: 8 billion parameters |
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Try Aya Expanse |
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Before downloading the weights, you can try out Aya Expanse in our hosted Hugging Face Space. |
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Usage |
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Please install transformers from the source repository. |
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# pip install 'git+https://github.com/huggingface/transformers.git' |
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from transformers import AutoTokenizer, AutoModelForCausalLM |
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model_id = "CohereForAI/aya-expanse-8b" |
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tokenizer = AutoTokenizer.from_pretrained(model_id) |
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model = AutoModelForCausalLM.from_pretrained(model_id) |
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# Format the message with the chat template |
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messages = [{"role": "user", "content": "Anneme onu ne kadar sevdiğimi anlatan bir mektup yaz"}] |
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input_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt") |
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## <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|> |
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gen_tokens = model.generate( |
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input_ids, |
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max_new_tokens=100, |
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do_sample=True, |
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temperature=0.3, |
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) |
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gen_text = tokenizer.decode(gen_tokens[0]) |
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print(gen_text) |
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Example Notebooks |
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Fine-Tuning: |
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This notebook showcases a detailed use of fine-tuning Aya Expanse on more languages. |
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Example Use cases: |
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The following notebooks contributed by Cohere For AI Community members show how Aya Expanse can be used for different use cases: |
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Mulitlingual Writing Assistant |
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AyaMCooking |
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Multilingual Question-Answering System |
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Model Details |
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Input: Models input text only. |
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Output: Models generate text only. |
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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. |
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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 |
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Context length: 8K |
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Model Card Contact |
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For errors or additional questions about details in this model card, contact info@for.ai. |
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Terms of Use |
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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. |
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Try the model today |
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--- |
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## Use with llama.cpp |
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Install llama.cpp through brew (works on Mac and Linux) |
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```bash |
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brew install llama.cpp |
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``` |
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Invoke the llama.cpp server or the CLI. |
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### CLI: |
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```bash |
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llama-cli --hf-repo Triangle104/aya-expanse-8b-Q4_K_M-GGUF --hf-file aya-expanse-8b-q4_k_m.gguf -p "The meaning to life and the universe is" |
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``` |
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### Server: |
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```bash |
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llama-server --hf-repo Triangle104/aya-expanse-8b-Q4_K_M-GGUF --hf-file aya-expanse-8b-q4_k_m.gguf -c 2048 |
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``` |
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Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. |
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Step 1: Clone llama.cpp from GitHub. |
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``` |
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git clone https://github.com/ggerganov/llama.cpp |
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``` |
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Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). |
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``` |
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cd llama.cpp && LLAMA_CURL=1 make |
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``` |
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Step 3: Run inference through the main binary. |
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``` |
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./llama-cli --hf-repo Triangle104/aya-expanse-8b-Q4_K_M-GGUF --hf-file aya-expanse-8b-q4_k_m.gguf -p "The meaning to life and the universe is" |
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``` |
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or |
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``` |
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./llama-server --hf-repo Triangle104/aya-expanse-8b-Q4_K_M-GGUF --hf-file aya-expanse-8b-q4_k_m.gguf -c 2048 |
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``` |
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