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# open_llama_13b-sharded-8bit
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This is [open_llama_13b](https://huggingface.co/openlm-research/open_llama_13b) sharded into 2 GB shards, and in 8-bit precision using `bitsandbytes==0.38.0`. Please refer to the original model card for details.
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# open_llama_13b-sharded-8bit
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This is [open_llama_13b](https://huggingface.co/openlm-research/open_llama_13b) sharded into 2 GB shards, and in 8-bit precision using `bitsandbytes==0.38.0`. Please refer to the original model card for details.
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## loading
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```sh
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pip install -U -q sentencepiece transformers accelerate bitsandbytes
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```
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load the model and tokenizer:
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```python
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import torch
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from transformers import LlamaTokenizer, LlamaForCausalLM
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tokenizer = LlamaTokenizer.from_pretrained(model_name, use_fast=False)
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model = LlamaForCausalLM.from_pretrained(
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model_name,
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load_in_8bit=True,
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device_map="auto",
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)
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```
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