duyntnet/aya-expanse-32b-imatrix-gguf overview

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    "pipeline_tag": "text-generation",
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    "tags": [
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      "license": "other",
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    "summary": "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 32-billion version of the Aya Expanse model. We also released an 8-billion version which you can find here. **Try Aya Expanse** Before downloading the weights, you can try out Aya Expanse (32B) in our hosted Hugging Face Space. ### Usage Please install transformers from the source repository. ```python # pip install 'git+https://github.com/huggingface/transformers.git' from transformers import AutoTokenizer, AutoModelForCausalLM model_id = \"CohereForAI/aya-expanse-32b\" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained(model_id) # Format message with the chat template messages = [{\"role\": \"user\", \"content\": \"Anneme onu ne kadar sevdiğimi anlatan bir mektup yaz\"}] input_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors=\"pt\")",
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    "readme_markdown": "---\nlicense: other\nlanguage:\n- en\npipeline_tag: text-generation\ninference: false\ntags:\n- transformers\n- gguf\n- imatrix\n- aya-expanse-32b\n---\nQuantizations of https://huggingface.co/CohereForAI/aya-expanse-32b\n\n\n### Inference Clients/UIs\n* [llama.cpp](https://github.com/ggerganov/llama.cpp)\n* [KoboldCPP](https://github.com/LostRuins/koboldcpp)\n* [ollama](https://github.com/ollama/ollama)\n* [text-generation-webui](https://github.com/oobabooga/text-generation-webui)\n* [GPT4All](https://github.com/nomic-ai/gpt4all)\n* [jan](https://github.com/janhq/jan)\n---\n\n# From original readme\n\nAya 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](https://huggingface.co/CohereForAI/c4ai-command-r-plus) of models with the result of a year’s dedicated research from [Cohere For AI](https://cohere.for.ai/), including [data arbitrage](https://arxiv.org/pdf/2408.14960), [multilingual preference training](https://arxiv.org/abs/2407.02552), [safety tuning](https://arxiv.org/abs/2406.18682), and [model merging](https://arxiv.org/abs/2410.10801). The result is a powerful multilingual large language model serving 23 languages.\n\nWe 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\n\nThis model card corresponds to the 32-billion version of the Aya Expanse model. We also released an 8-billion version which you can find [here](https://huggingface.co/CohereForAI/aya-expanse-8B).\n\n- Developed by: [Cohere For AI](https://cohere.for.ai/) \n- Point of Contact: Cohere For AI: [cohere.for.ai](https://cohere.for.ai/)\n- License: [CC-BY-NC](https://cohere.com/c4ai-cc-by-nc-license), requires also adhering to [C4AI's Acceptable Use Policy](https://docs.cohere.com/docs/c4ai-acceptable-use-policy)\n- Model: Aya Expanse 32B\n- Model Size: 32 billion parameters\n\n**Try Aya Expanse**\n\nBefore downloading the weights, you can try out Aya Expanse (32B) in our hosted [Hugging Face Space](https://huggingface.co/spaces/CohereForAI/aya_expanse).\n\n\n### Usage\n\nPlease install transformers from the source repository.\n\n```python\n# pip install 'git+https://github.com/huggingface/transformers.git'\nfrom transformers import AutoTokenizer, AutoModelForCausalLM\n\nmodel_id = \"CohereForAI/aya-expanse-32b\"\ntokenizer = AutoTokenizer.from_pretrained(model_id)\nmodel = AutoModelForCausalLM.from_pretrained(model_id)\n\n# Format message with the chat template\nmessages = [{\"role\": \"user\", \"content\": \"Anneme onu ne kadar sevdiğimi anlatan bir mektup yaz\"}]\ninput_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors=\"pt\")\n## <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|>\n\ngen_tokens = model.generate(\n    input_ids, \n    max_new_tokens=100, \n    do_sample=True, \n    temperature=0.3,\n    )\n\ngen_text = tokenizer.decode(gen_tokens[0])\nprint(gen_text)\n```",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "imatrix",
    "aya-expanse-32b",
    "text-generation",
    "en",
    "arxiv:2408.14960",
    "arxiv:2407.02552",
    "arxiv:2406.18682",
    "arxiv:2410.10801",
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  "last_modified": "2024-10-27T14:04:25.000Z",
  "created_at": "2024-10-27T04:24:52.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
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  "_id": "671dc0944dea4d6f302ff52a",
  "id": "duyntnet/aya-expanse-32b-imatrix-GGUF",
  "modelId": "duyntnet/aya-expanse-32b-imatrix-GGUF",
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  "createdAt": "2024-10-27T04:24:52.000Z",
  "lastModified": "2024-10-27T14:04:25.000Z",
  "author": "duyntnet",
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