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nbeerbower_-_Mistral-Nemo-Gutenberg-Doppel-12B-v2-gguf – AI Model by RichardErkhov | AlphaNeural AI
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nbeerbower_-_Mistral-Nemo-Gutenberg-Doppel-12B-v2-gguf
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Quantization made by Richard Erkhov.
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Mistral-Nemo-Gutenberg-Doppel-12B-v2 - GGUF
Model creator:
https://huggingface.co/nbeerbower/
Original model:
https://huggingface.co/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2/
Name
Quant method
Size
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q2_K.gguf
Q2_K
4.46GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.IQ3_XS.gguf
IQ3_XS
2.1GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.IQ3_S.gguf
IQ3_S
3.52GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q3_K_S.gguf
Q3_K_S
4.86GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.IQ3_M.gguf
IQ3_M
3.23GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q3_K.gguf
Q3_K
5.67GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q3_K_M.gguf
Q3_K_M
5.67GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q3_K_L.gguf
Q3_K_L
6.11GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.IQ4_XS.gguf
IQ4_XS
6.33GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q4_0.gguf
Q4_0
6.59GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.IQ4_NL.gguf
IQ4_NL
6.65GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q4_K_S.gguf
Q4_K_S
6.63GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q4_K.gguf
Q4_K
6.96GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q4_K_M.gguf
Q4_K_M
6.96GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q4_1.gguf
Q4_1
7.26GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q5_0.gguf
Q5_0
7.93GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q5_K_S.gguf
Q5_K_S
7.93GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q5_K.gguf
Q5_K
8.13GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q5_K_M.gguf
Q5_K_M
8.13GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q5_1.gguf
Q5_1
8.61GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q6_K.gguf
Q6_K
9.37GB
Mistral-Nemo-Gutenberg-Doppel-12B-v2.Q8_0.gguf
Q8_0
12.13GB
Original model description:
library_name: transformers base_model:
axolotl-ai-co/romulus-mistral-nemo-12b-simpo datasets:
jondurbin/gutenberg-dpo-v0.1
nbeerbower/gutenberg2-dpo license: apache-2.0
image/png
Mistral-Nemo-Gutenberg-Doppel-12B
axolotl-ai-co/romulus-mistral-nemo-12b-simpo
finetuned on
jondurbin/gutenberg-dpo-v0.1
and
nbeerbower/gutenberg2-dpo
.
Method
ORPO tuned
with 2x A100 for 3 epochs.
