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RichardErkhov/
Syed-Hasan-8503_-_Qwen2.5-1.5B-Instruct-WO-Adam-mini-gguf

Name: Syed-Hasan-8503_-_Qwen2.5-1.5B-Instruct-WO-Adam-mini-gguf
Availability: InStock

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Qwen2.5-1.5B-Instruct-WO-Adam-mini - GGUF

Model creator: https://huggingface.co/Syed-Hasan-8503/
Original model: https://huggingface.co/Syed-Hasan-8503/Qwen2.5-1.5B-Instruct-WO-Adam-mini/

Name	Quant method	Size
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q2_K.gguf	Q2_K	0.63GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q3_K_S.gguf	Q3_K_S	0.71GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q3_K.gguf	Q3_K	0.77GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q3_K_M.gguf	Q3_K_M	0.77GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q3_K_L.gguf	Q3_K_L	0.82GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.IQ4_XS.gguf	IQ4_XS	0.84GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q4_0.gguf	Q4_0	0.87GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.IQ4_NL.gguf	IQ4_NL	0.88GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q4_K_S.gguf	Q4_K_S	0.88GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q4_K.gguf	Q4_K	0.92GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q4_K_M.gguf	Q4_K_M	0.92GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q4_1.gguf	Q4_1	0.95GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q5_0.gguf	Q5_0	1.02GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q5_K_S.gguf	Q5_K_S	1.02GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q5_K.gguf	Q5_K	1.05GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q5_K_M.gguf	Q5_K_M	1.05GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q5_1.gguf	Q5_1	1.1GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q6_K.gguf	Q6_K	1.19GB
Qwen2.5-1.5B-Instruct-WO-Adam-mini.Q8_0.gguf	Q8_0	1.53GB

Original model description:

library_name: transformers license: other base_model: Qwen/Qwen2.5-1.5B-Instruct tags:

llama-factory
full
generated_from_trainer model-index:
name: output1 results: []

output1

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the identity and the alpaca_en_demo datasets. It achieves the following results on the evaluation set:

Loss: 2.4530

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: 1e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
training_steps: 1080

Training results

Training Loss	Epoch	Step	Validation Loss
0.1411	4.0775	500	1.5800
0.0056	8.1549	1000	2.4301

Framework versions

Transformers 4.45.0
Pytorch 2.2.0+cu121
Datasets 2.21.0
Tokenizers 0.20.0

RichardErkhov/Syed-Hasan-8503_-_Qwen2.5-1.5B-Instruct-WO-Adam-mini-gguf

Original model description:

output1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

RichardErkhov/
Syed-Hasan-8503_-_Qwen2.5-1.5B-Instruct-WO-Adam-mini-gguf