Q-PING_-_krx_gemma-2-9b-it_1028-gguf – AI Model by RichardErkhov | AlphaNeural AI

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Q-PING_-_krx_gemma-2-9b-it_1028-gguf

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Quantization made by Richard Erkhov.

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krx_gemma-2-9b-it_1028 - GGUF

Model creator: https://huggingface.co/Q-PING/
Original model: https://huggingface.co/Q-PING/krx_gemma-2-9b-it_1028/

Name	Quant method	Size
krx_gemma-2-9b-it_1028.Q2_K.gguf	Q2_K	2.81GB
krx_gemma-2-9b-it_1028.IQ3_XS.gguf	IQ3_XS	3.12GB
krx_gemma-2-9b-it_1028.IQ3_S.gguf	IQ3_S	3.26GB
krx_gemma-2-9b-it_1028.Q3_K_S.gguf	Q3_K_S	3.25GB
krx_gemma-2-9b-it_1028.IQ3_M.gguf	IQ3_M	3.33GB
krx_gemma-2-9b-it_1028.Q3_K.gguf	Q3_K	3.55GB
krx_gemma-2-9b-it_1028.Q3_K_M.gguf	Q3_K_M	3.55GB
krx_gemma-2-9b-it_1028.Q3_K_L.gguf	Q3_K_L	3.81GB
krx_gemma-2-9b-it_1028.IQ4_XS.gguf	IQ4_XS	3.96GB
krx_gemma-2-9b-it_1028.Q4_0.gguf	Q4_0	4.13GB
krx_gemma-2-9b-it_1028.IQ4_NL.gguf	IQ4_NL	4.16GB
krx_gemma-2-9b-it_1028.Q4_K_S.gguf	Q4_K_S	4.15GB
krx_gemma-2-9b-it_1028.Q4_K.gguf	Q4_K	4.36GB
krx_gemma-2-9b-it_1028.Q4_K_M.gguf	Q4_K_M	4.36GB
krx_gemma-2-9b-it_1028.Q4_1.gguf	Q4_1	4.54GB
krx_gemma-2-9b-it_1028.Q5_0.gguf	Q5_0	4.95GB
krx_gemma-2-9b-it_1028.Q5_K_S.gguf	Q5_K_S	4.95GB
krx_gemma-2-9b-it_1028.Q5_K.gguf	Q5_K	5.07GB
krx_gemma-2-9b-it_1028.Q5_K_M.gguf	Q5_K_M	5.07GB
krx_gemma-2-9b-it_1028.Q5_1.gguf	Q5_1	5.36GB
krx_gemma-2-9b-it_1028.Q6_K.gguf	Q6_K	5.82GB
krx_gemma-2-9b-it_1028.Q8_0.gguf	Q8_0	7.54GB

Original model description:

base_model: unsloth/Qwen2.5-7B-Instruct language:

en license: apache-2.0 tags:
text-generation-inference
transformers
unsloth
qwen2
trl
krx

Uploaded model

Developed by: Q-PING
License: apache-2.0
Finetuned from model : unsloth/Qwen2.5-7B-Instruct

This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.