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ehristoforu_-_Gemma2-9B-it-psy10k-mental_health-gguf – AI Model by RichardErkhov | AlphaNeural AI
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ehristoforu_-_Gemma2-9B-it-psy10k-mental_health-gguf
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Quantization made by Richard Erkhov.
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Gemma2-9B-it-psy10k-mental_health - GGUF
Model creator:
https://huggingface.co/ehristoforu/
Original model:
https://huggingface.co/ehristoforu/Gemma2-9B-it-psy10k-mental_health/
Name
Quant method
Size
Gemma2-9B-it-psy10k-mental_health.Q2_K.gguf
Q2_K
3.54GB
Gemma2-9B-it-psy10k-mental_health.IQ3_XS.gguf
IQ3_XS
3.86GB
Gemma2-9B-it-psy10k-mental_health.IQ3_S.gguf
IQ3_S
4.04GB
Gemma2-9B-it-psy10k-mental_health.Q3_K_S.gguf
Q3_K_S
4.04GB
Gemma2-9B-it-psy10k-mental_health.IQ3_M.gguf
IQ3_M
4.19GB
Gemma2-9B-it-psy10k-mental_health.Q3_K.gguf
Q3_K
4.43GB
Gemma2-9B-it-psy10k-mental_health.Q3_K_M.gguf
Q3_K_M
4.43GB
Gemma2-9B-it-psy10k-mental_health.Q3_K_L.gguf
Q3_K_L
4.78GB
Gemma2-9B-it-psy10k-mental_health.IQ4_XS.gguf
IQ4_XS
4.86GB
Gemma2-9B-it-psy10k-mental_health.Q4_0.gguf
Q4_0
5.07GB
Gemma2-9B-it-psy10k-mental_health.IQ4_NL.gguf
IQ4_NL
5.1GB
Gemma2-9B-it-psy10k-mental_health.Q4_K_S.gguf
Q4_K_S
5.1GB
Gemma2-9B-it-psy10k-mental_health.Q4_K.gguf
Q4_K
3.28GB
Gemma2-9B-it-psy10k-mental_health.Q4_K_M.gguf
Q4_K_M
5.37GB
Gemma2-9B-it-psy10k-mental_health.Q4_1.gguf
Q4_1
5.55GB
Gemma2-9B-it-psy10k-mental_health.Q5_0.gguf
Q5_0
6.04GB
Gemma2-9B-it-psy10k-mental_health.Q5_K_S.gguf
Q5_K_S
3.91GB
Gemma2-9B-it-psy10k-mental_health.Q5_K.gguf
Q5_K
6.19GB
Gemma2-9B-it-psy10k-mental_health.Q5_K_M.gguf
Q5_K_M
6.19GB
Gemma2-9B-it-psy10k-mental_health.Q5_1.gguf
Q5_1
6.52GB
Gemma2-9B-it-psy10k-mental_health.Q6_K.gguf
Q6_K
7.07GB
Gemma2-9B-it-psy10k-mental_health.Q8_0.gguf
Q8_0
9.15GB
Original model description:
base_model: ehristoforu/Gemma2-9B-it-psy10k datasets:
jtatman/mental_health_psychology_curated_alpaca language:
en license: apache-2.0 tags:
text-generation-inference
transformers
unsloth
gemma2
trl
sft
Uploaded model
Developed by:
ehristoforu
License:
apache-2.0
Finetuned from model :
ehristoforu/Gemma2-9B-it-psy10k
This gemma2 model was trained 2x faster with
Unsloth
and Huggingface's TRL library.
