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autoprogrammer_-_CulturaX-zh-unsupervised-20241030-171238-gguf – AI Model by RichardErkhov | AlphaNeural AI
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autoprogrammer_-_CulturaX-zh-unsupervised-20241030-171238-gguf
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CulturaX-zh-unsupervised-20241030-171238 - GGUF
Model creator:
https://huggingface.co/autoprogrammer/
Original model:
https://huggingface.co/autoprogrammer/CulturaX-zh-unsupervised-20241030-171238/
Name
Quant method
Size
CulturaX-zh-unsupervised-20241030-171238.Q2_K.gguf
Q2_K
0.54GB
CulturaX-zh-unsupervised-20241030-171238.IQ3_XS.gguf
IQ3_XS
0.58GB
CulturaX-zh-unsupervised-20241030-171238.IQ3_S.gguf
IQ3_S
0.6GB
CulturaX-zh-unsupervised-20241030-171238.Q3_K_S.gguf
Q3_K_S
0.6GB
CulturaX-zh-unsupervised-20241030-171238.IQ3_M.gguf
IQ3_M
0.61GB
CulturaX-zh-unsupervised-20241030-171238.Q3_K.gguf
Q3_K
0.64GB
CulturaX-zh-unsupervised-20241030-171238.Q3_K_M.gguf
Q3_K_M
0.64GB
CulturaX-zh-unsupervised-20241030-171238.Q3_K_L.gguf
Q3_K_L
0.68GB
CulturaX-zh-unsupervised-20241030-171238.IQ4_XS.gguf
IQ4_XS
0.7GB
CulturaX-zh-unsupervised-20241030-171238.Q4_0.gguf
Q4_0
0.72GB
CulturaX-zh-unsupervised-20241030-171238.IQ4_NL.gguf
IQ4_NL
0.72GB
CulturaX-zh-unsupervised-20241030-171238.Q4_K_S.gguf
Q4_K_S
0.72GB
CulturaX-zh-unsupervised-20241030-171238.Q4_K.gguf
Q4_K
0.75GB
CulturaX-zh-unsupervised-20241030-171238.Q4_K_M.gguf
Q4_K_M
0.75GB
CulturaX-zh-unsupervised-20241030-171238.Q4_1.gguf
Q4_1
0.77GB
CulturaX-zh-unsupervised-20241030-171238.Q5_0.gguf
Q5_0
0.83GB
CulturaX-zh-unsupervised-20241030-171238.Q5_K_S.gguf
Q5_K_S
0.83GB
CulturaX-zh-unsupervised-20241030-171238.Q5_K.gguf
Q5_K
0.85GB
CulturaX-zh-unsupervised-20241030-171238.Q5_K_M.gguf
Q5_K_M
0.85GB
CulturaX-zh-unsupervised-20241030-171238.Q5_1.gguf
Q5_1
0.89GB
CulturaX-zh-unsupervised-20241030-171238.Q6_K.gguf
Q6_K
0.95GB
CulturaX-zh-unsupervised-20241030-171238.Q8_0.gguf
Q8_0
1.23GB
Original model description:
library_name: transformers license: llama3.2 base_model: meta-llama/Llama-3.2-1B-Instruct tags:
generated_from_trainer model-index:
name: CulturaX-zh-unsupervised-20241030-171238 results: []
CulturaX-zh-unsupervised-20241030-171238
This model is a fine-tuned version of
meta-llama/Llama-3.2-1B-Instruct
on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 6500
Training results
Framework versions
Transformers 4.46.1
Pytorch 2.4.1
Datasets 3.0.1
Tokenizers 0.20.1
