This model is a fine-tuned version of
Qwen/Qwen2.5-0.5B
on the Synthia v1.5-I dataset, which contains over 20.7k instruction-following examples.
Model Description
Qwen2.5-0.5B is part of the latest Qwen2.5 series of large language models. The base model brings significant improvements in:
Instruction following and generating long texts
Understanding structured data and generating structured outputs
Support for over 29 languages
Long context support up to 32,768 tokens
This fine-tuned version enhances the base model's instruction-following capabilities through training on the Synthia v1.5-I dataset.
Model Architecture
Type: Causal Language Model
Parameters: 0.49B (0.36B non-embedding)
Layers: 24
Attention Heads: 14 for Q and 2 for KV (GQA)
Context Length: 32,768 tokens
Training Framework: Transformers 4.45.0.dev0
Intended Uses & Limitations
This model is intended for:
Instruction following and task completion
Text generation and completion
Conversational AI applications
The model inherits the multilingual capabilities and long context support of the base Qwen2.5-0.5B model, while being specifically tuned for instruction following.
Training Procedure
Training Data
The model was fine-tuned on the Synthia v1.5-I dataset containing 20.7k instruction-following examples.
Training Hyperparameters
The following hyperparameters were used during training:
Learning rate: 1e-05
Train batch size: 5
Eval batch size: 5
Seed: 42
Gradient accumulation steps: 8
Total train batch size: 40
Optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
LR scheduler type: cosine
LR scheduler warmup steps: 100
Number of epochs: 3
Sequence length: 4096
Sample packing: enabled
Pad to sequence length: enabled
Framework Versions
Transformers 4.45.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
See axolotl config
axolotl version:
0.4.1
Runs of artificialguybr QWEN-2.5-0.5B-Synthia-I on huggingface.co
43
Total runs
-1
24-hour runs
0
3-day runs
7
7-day runs
0
30-day runs
More Information About QWEN-2.5-0.5B-Synthia-I huggingface.co Model
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