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CorticalStack_-_neurotic-crown-clown-7b-tak-stack-dpo-gguf – AI Model by RichardErkhov | AlphaNeural AI
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CorticalStack_-_neurotic-crown-clown-7b-tak-stack-dpo-gguf
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Quantization made by Richard Erkhov.
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neurotic-crown-clown-7b-tak-stack-dpo - GGUF
Model creator:
https://huggingface.co/CorticalStack/
Original model:
https://huggingface.co/CorticalStack/neurotic-crown-clown-7b-tak-stack-dpo/
Name
Quant method
Size
neurotic-crown-clown-7b-tak-stack-dpo.Q2_K.gguf
Q2_K
2.53GB
neurotic-crown-clown-7b-tak-stack-dpo.IQ3_XS.gguf
IQ3_XS
2.81GB
neurotic-crown-clown-7b-tak-stack-dpo.IQ3_S.gguf
IQ3_S
2.96GB
neurotic-crown-clown-7b-tak-stack-dpo.Q3_K_S.gguf
Q3_K_S
2.95GB
neurotic-crown-clown-7b-tak-stack-dpo.IQ3_M.gguf
IQ3_M
3.06GB
neurotic-crown-clown-7b-tak-stack-dpo.Q3_K.gguf
Q3_K
3.28GB
neurotic-crown-clown-7b-tak-stack-dpo.Q3_K_M.gguf
Q3_K_M
3.28GB
neurotic-crown-clown-7b-tak-stack-dpo.Q3_K_L.gguf
Q3_K_L
3.56GB
neurotic-crown-clown-7b-tak-stack-dpo.IQ4_XS.gguf
IQ4_XS
3.67GB
neurotic-crown-clown-7b-tak-stack-dpo.Q4_0.gguf
Q4_0
3.83GB
neurotic-crown-clown-7b-tak-stack-dpo.IQ4_NL.gguf
IQ4_NL
3.87GB
neurotic-crown-clown-7b-tak-stack-dpo.Q4_K_S.gguf
Q4_K_S
3.86GB
neurotic-crown-clown-7b-tak-stack-dpo.Q4_K.gguf
Q4_K
4.07GB
neurotic-crown-clown-7b-tak-stack-dpo.Q4_K_M.gguf
Q4_K_M
4.07GB
neurotic-crown-clown-7b-tak-stack-dpo.Q4_1.gguf
Q4_1
4.24GB
neurotic-crown-clown-7b-tak-stack-dpo.Q5_0.gguf
Q5_0
4.65GB
neurotic-crown-clown-7b-tak-stack-dpo.Q5_K_S.gguf
Q5_K_S
4.65GB
neurotic-crown-clown-7b-tak-stack-dpo.Q5_K.gguf
Q5_K
4.78GB
neurotic-crown-clown-7b-tak-stack-dpo.Q5_K_M.gguf
Q5_K_M
4.78GB
neurotic-crown-clown-7b-tak-stack-dpo.Q5_1.gguf
Q5_1
5.07GB
neurotic-crown-clown-7b-tak-stack-dpo.Q6_K.gguf
Q6_K
5.53GB
neurotic-crown-clown-7b-tak-stack-dpo.Q8_0.gguf
Q8_0
7.17GB
Original model description:
license: apache-2.0 tags:
dpo base_model:
CorticalStack/neurotic-crown-clown-7b-ties dataset:
CorticalStack/tak-stack-dpo
Neurotic crown clown tak stack logo
neurotic-crown-clown-7b-tak-stack-dpo
neurotic-crown-clown-7b-tak-stack-dpo is a DPO fine-tuned version of
CorticalStack/neurotic-crown-clown-7b-ties
using the
CorticalStack/tak-stack-dpo
dataset.
LoRA
r: 32
LoRA alpha: 32
LoRA dropout: 0.05
Training arguments
Batch size: 4
Gradient accumulation steps: 4
Optimizer: paged_adamw_32bit
Max steps: 100
Learning rate: 5e-05
Learning rate scheduler type: cosine
Beta: 0.1
Max prompt length: 1024
Max length: 1536
