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--- |
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language: |
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- en |
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pipeline_tag: text-generation |
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tags: |
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- facebook |
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- meta |
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- openvino |
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- llama |
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- llama-3 |
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license: other |
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license_name: llama3 |
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license_link: https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/blob/main/LICENSE |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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--- |
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# Meta-Llama-3-8B-Instruct INT4 Quantized |
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- INT-4 quantized version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) created using OpenVINO |
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## Model Details |
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Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source chat models on common industry benchmarks. |
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**Model developers** Meta |
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**Variations** Llama 3 comes in two sizes — 8B and 70B parameters — in pre-trained and instruction tuned variants. |
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**Input** Models input text only. |
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**Output** Models generate text and code only. |
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**Model Architecture** Llama 3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety. |
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**Model Release Date** April 18, 2024. |
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## Usage |
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```python |
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>>> from transformers import AutoTokenizer, pipeline |
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>>> from optimum.intel.openvino import OVModelForCausalLM |
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>>> model_name = 'rajatkrishna/Meta-Llama-3-8B-Instruct-OpenVINO-INT4' |
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>>> model = OVModelForCausalLM.from_pretrained(model_name) |
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>>> pipe = pipeline("text-generation", model=model, tokenizer=model_name) |
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>>> pipe("Hey how are you doing today?") |
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``` |
