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--- |
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license: apache-2.0 |
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datasets: |
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- mosaicml/dolly_hhrlhf |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text-generation |
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--- |
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# VMware/open-llama-0.3T-7B-instruct-dolly-hhrlhf |
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Fully Open Source, Commerically viable. |
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The instruction dataset, [mosaicml/dolly_hhrlhf](https://huggingface.co/datasets/mosaicml/dolly_hhrlhf) is under cc-by-sa-3.0, and the Language Model ([openlm-research/open_llama_7b_preview_300bt](https://huggingface.co/openlm-research/open_llama_7b_preview_300bt/tree/main/open_llama_7b_preview_300bt_transformers_weights)) is under apache-2.0 License. |
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## Use in Transformers |
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Please load the tokenizer with 'add_bos_token = True' parameter as the underlying OpenLLaMa model and this model were trained with a BOS token. |
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``` |
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import os |
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import torch |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_name = 'VMware/open-llama-0.3T-7B-instruct-dolly-hhrlhf' |
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tokenizer = AutoTokenizer.from_pretrained(model_name, add_bos_token = True) |
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model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype= torch.float16, device_map = 'sequential') |
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prompt_template = "Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response:" |
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prompt= 'how do I bake a cake?' |
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inputt = prompt_template.format(instruction= prompt) |
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input_ids = tokenizer(inputt, return_tensors="pt").input_ids.to("cuda") |
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output1 = model.generate(input_ids, max_length=512) |
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input_length = input_ids.shape[1] |
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output1 = output1[:, input_length:] |
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output= tokenizer.decode(output1[0]) |
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print(output) |
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''' |
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Baking a cake is a simple process. You will need to prepare a cake mixture, then bake it in the oven. You can add various ingredients to the cake mixture, such as fruit, nuts, or spices, to make it flavorful. Baking a cake can be fun, as it creates a delicious dessert!</s> |
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''' |
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``` |
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## Drawbacks |
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<ul> |
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<li>The model was trained on a partially trained Open-LLaMA checkpoint. (300B tokens). |
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</ul> |
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## Evaluation |
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<B>TODO</B> |
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