PolyAgent_-_gemma-7b-custom-tokenizer-base-gguf

RichardErkhov/PolyAgent_-_gemma-7b-custom-tokenizer-base-gguf

PolyAgent_-_gemma-7b-custom-tokenizer-base-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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288

9% of all-time downloads

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3.2K

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Repo size

99.8 GB

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Hugging Face

Repo makeup

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.gguf116 GB · 100%

At a glance

Access: Public
Created: Aug 5, 2024
Updated: Aug 5, 2024
SHA: 1b776e05

Model card

From the Hugging Face model README

Quantization made by Richard Erkhov.

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gemma-7b-custom-tokenizer-base - GGUF

Model creator: https://huggingface.co/PolyAgent/
Original model: https://huggingface.co/PolyAgent/gemma-7b-custom-tokenizer-base/

Name	Quant method	Size
gemma-7b-custom-tokenizer-base.Q2_K.gguf	Q2_K	3.24GB
gemma-7b-custom-tokenizer-base.IQ3_XS.gguf	IQ3_XS	3.54GB
gemma-7b-custom-tokenizer-base.IQ3_S.gguf	IQ3_S	3.71GB
gemma-7b-custom-tokenizer-base.Q3_K_S.gguf	Q3_K_S	3.71GB
gemma-7b-custom-tokenizer-base.IQ3_M.gguf	IQ3_M	3.82GB
gemma-7b-custom-tokenizer-base.Q3_K.gguf	Q3_K	4.07GB
gemma-7b-custom-tokenizer-base.Q3_K_M.gguf	Q3_K_M	4.07GB
gemma-7b-custom-tokenizer-base.Q3_K_L.gguf	Q3_K_L	4.39GB
gemma-7b-custom-tokenizer-base.IQ4_XS.gguf	IQ4_XS	4.48GB
gemma-7b-custom-tokenizer-base.Q4_0.gguf	Q4_0	4.67GB
gemma-7b-custom-tokenizer-base.IQ4_NL.gguf	IQ4_NL	4.69GB
gemma-7b-custom-tokenizer-base.Q4_K_S.gguf	Q4_K_S	4.7GB
gemma-7b-custom-tokenizer-base.Q4_K.gguf	Q4_K	4.96GB
gemma-7b-custom-tokenizer-base.Q4_K_M.gguf	Q4_K_M	4.96GB
gemma-7b-custom-tokenizer-base.Q4_1.gguf	Q4_1	5.12GB
gemma-7b-custom-tokenizer-base.Q5_0.gguf	Q5_0	5.57GB
gemma-7b-custom-tokenizer-base.Q5_K_S.gguf	Q5_K_S	5.57GB
gemma-7b-custom-tokenizer-base.Q5_K.gguf	Q5_K	5.72GB
gemma-7b-custom-tokenizer-base.Q5_K_M.gguf	Q5_K_M	5.72GB
gemma-7b-custom-tokenizer-base.Q5_1.gguf	Q5_1	6.02GB
gemma-7b-custom-tokenizer-base.Q6_K.gguf	Q6_K	6.53GB
gemma-7b-custom-tokenizer-base.Q8_0.gguf	Q8_0	8.45GB

Original model description:

license: gemma

Model uses the correct gemma_ua_ordered.model tokenizer as of July 20th 2024.

Created: Aug 5, 2024
Updated: Aug 5, 2024