ainth89_-_your_output_dir-gguf – AI Model by RichardErkhov | AlphaNeural AI

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ainth89_-_your_output_dir-gguf

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your_output_dir - GGUF

Model creator: https://huggingface.co/ainth89/
Original model: https://huggingface.co/ainth89/your_output_dir/

Name	Quant method	Size
your_output_dir.Q2_K.gguf	Q2_K	0.4GB
your_output_dir.IQ3_XS.gguf	IQ3_XS	0.44GB
your_output_dir.IQ3_S.gguf	IQ3_S	0.47GB
your_output_dir.Q3_K_S.gguf	Q3_K_S	0.47GB
your_output_dir.IQ3_M.gguf	IQ3_M	0.48GB
your_output_dir.Q3_K.gguf	Q3_K	0.51GB
your_output_dir.Q3_K_M.gguf	Q3_K_M	0.51GB
your_output_dir.Q3_K_L.gguf	Q3_K_L	0.55GB
your_output_dir.IQ4_XS.gguf	IQ4_XS	0.57GB
your_output_dir.Q4_0.gguf	Q4_0	0.59GB
your_output_dir.IQ4_NL.gguf	IQ4_NL	0.6GB
your_output_dir.Q4_K_S.gguf	Q4_K_S	0.6GB
your_output_dir.Q4_K.gguf	Q4_K	0.62GB
your_output_dir.Q4_K_M.gguf	Q4_K_M	0.62GB
your_output_dir.Q4_1.gguf	Q4_1	0.65GB
your_output_dir.Q5_0.gguf	Q5_0	0.71GB
your_output_dir.Q5_K_S.gguf	Q5_K_S	0.71GB
your_output_dir.Q5_K.gguf	Q5_K	0.73GB
your_output_dir.Q5_K_M.gguf	Q5_K_M	0.73GB
your_output_dir.Q5_1.gguf	Q5_1	0.77GB
your_output_dir.Q6_K.gguf	Q6_K	0.84GB
your_output_dir.Q8_0.gguf	Q8_0	1.09GB

Original model description:

library_name: transformers license: apache-2.0 base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 tags:

trl
sft
generated_from_trainer model-index:
name: your_output_dir results: []

your_output_dir

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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1