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README.md
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---
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license: llama3.1
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---
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license: llama3.1
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language:
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- en
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base_model:
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- nvidia/OpenMath2-Llama3.1-8B
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pipeline_tag: text-generation
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tags:
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- math
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- nvidia
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- llama
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---
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## GGUF quantized version of OpenMath2-Llama3.1-8B
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project original [source](https://huggingface.co/nvidia/OpenMath2-Llama3.1-8B) (base model)
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Q_2_K (not nice)
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Q_3_K_S (acceptable)
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Q_3_K_M is acceptable (good for running with CPU)
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Q_3_K_L (acceptable)
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Q_4_K_S (okay)
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Q_4_K_M is recommanded (balance)
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Q_5_K_S (good)
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Q_5_K_M (good in general)
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Q_6_K is good also; if you want a better result; take this one instead of Q_5_K_M
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Q_8_0 which is very good; need a reasonable size of RAM otherwise you might expect a long wait
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f16 is similar to the original hf model; opt this one or hf also fine; make sure you have a good machine
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### how to run it
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use any connector for interacting with gguf; i.e., [gguf-connector](https://pypi.org/project/gguf-connector/)
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