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ManthanKulakarni_-_TinyLlama-1.1B-Text2SQL-gguf – AI Model by RichardErkhov | AlphaNeural AI
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ManthanKulakarni_-_TinyLlama-1.1B-Text2SQL-gguf
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TinyLlama-1.1B-Text2SQL - GGUF
Model creator:
https://huggingface.co/ManthanKulakarni/
Original model:
https://huggingface.co/ManthanKulakarni/TinyLlama-1.1B-Text2SQL/
Name
Quant method
Size
TinyLlama-1.1B-Text2SQL.Q2_K.gguf
Q2_K
0.4GB
TinyLlama-1.1B-Text2SQL.IQ3_XS.gguf
IQ3_XS
0.44GB
TinyLlama-1.1B-Text2SQL.IQ3_S.gguf
IQ3_S
0.47GB
TinyLlama-1.1B-Text2SQL.Q3_K_S.gguf
Q3_K_S
0.47GB
TinyLlama-1.1B-Text2SQL.IQ3_M.gguf
IQ3_M
0.48GB
TinyLlama-1.1B-Text2SQL.Q3_K.gguf
Q3_K
0.51GB
TinyLlama-1.1B-Text2SQL.Q3_K_M.gguf
Q3_K_M
0.51GB
TinyLlama-1.1B-Text2SQL.Q3_K_L.gguf
Q3_K_L
0.55GB
TinyLlama-1.1B-Text2SQL.IQ4_XS.gguf
IQ4_XS
0.57GB
TinyLlama-1.1B-Text2SQL.Q4_0.gguf
Q4_0
0.59GB
TinyLlama-1.1B-Text2SQL.IQ4_NL.gguf
IQ4_NL
0.6GB
TinyLlama-1.1B-Text2SQL.Q4_K_S.gguf
Q4_K_S
0.6GB
TinyLlama-1.1B-Text2SQL.Q4_K.gguf
Q4_K
0.62GB
TinyLlama-1.1B-Text2SQL.Q4_K_M.gguf
Q4_K_M
0.62GB
TinyLlama-1.1B-Text2SQL.Q4_1.gguf
Q4_1
0.65GB
TinyLlama-1.1B-Text2SQL.Q5_0.gguf
Q5_0
0.71GB
TinyLlama-1.1B-Text2SQL.Q5_K_S.gguf
Q5_K_S
0.71GB
TinyLlama-1.1B-Text2SQL.Q5_K.gguf
Q5_K
0.73GB
TinyLlama-1.1B-Text2SQL.Q5_K_M.gguf
Q5_K_M
0.73GB
TinyLlama-1.1B-Text2SQL.Q5_1.gguf
Q5_1
0.77GB
TinyLlama-1.1B-Text2SQL.Q6_K.gguf
Q6_K
0.84GB
TinyLlama-1.1B-Text2SQL.Q8_0.gguf
Q8_0
1.09GB
Original model description:
license: apache-2.0 base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 tags:
trl
sft
generated_from_trainer model-index:
name: working results: []
working
This model is a fine-tuned version of
TinyLlama/TinyLlama-1.1B-Chat-v1.0
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: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 1
Training results
Framework versions
Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.16.1
Tokenizers 0.15.0
