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pipeline_tag: text-generation
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inference: false
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license: apache-2.0
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library_name: transformers
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tags:
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- language
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- granite-3.1
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base_model:
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- ibm-granite/granite-3.1-2b-
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---
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# Granite-3.1-2B-Instruct
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**Model Summary:**
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pipeline_tag: text-generation
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inference: false
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license: apache-2.0
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tags:
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- language
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- granite-3.1
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base_model:
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- ibm-granite/granite-3.1-2b-instruct
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---
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# Granite-3.1-2B-Instruct-exl2
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Original model: [granite-3.1-2b-instruct](https://huggingface.co/ibm-granite/granite-3.1-2b-instruct)
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Creator: [Granite Team, IBM](https://huggingface.co/ibm-granite)
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## Quants
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[4bpw h6 (main)](https://huggingface.co/cgus/granite-3.1-2b-instruct-exl2/tree/main)
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[4.5bpw h6](https://huggingface.co/cgus/granite-3.1-2b-instruct-exl2/tree/4.5bpw-h6)
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[5bpw h6](https://huggingface.co/cgus/granite-3.1-2b-instruct-exl2/tree/5bpw-h6)
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[6bpw h6](https://huggingface.co/cgus/granite-3.1-2b-instruct-exl2/tree/6bpw-h6)
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[8bpw h8](https://huggingface.co/cgus/granite-3.1-2b-instruct-exl2/tree/8bpw-h8)
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## Quantization notes
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Made with Exllamav2 0.2.7 with the default dataset. This is the first version that supports Granite architecture.
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So this model will work only with apps that have exllamav2 0.2.7 or newer.
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It should work with newest TabbyAPI or Text-Generation-WebUI.
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Also they require either a Nvidia RTX card on Windows or Nvidia RTX/AMD ROCm on Linux.
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# Original model card
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# Granite-3.1-2B-Instruct
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**Model Summary:**
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