metadata
pipeline_tag: text-generation
inference: true
widget:
- text: Hello!
example_title: Hello world
group: Python
library_name: transformers
This model is randomly initialized, using the config from Qwen/Qwen-VL-Chat but with smaller size. Note the model is in float16.
Notable modifications:
config.fp16 = True
config.hidden_size = 8
config.intermediate_size = 16
config.kv_channels = 4
config.num_attention_heads = 2
config.num_hidden_layers = 2
config.seq_length = 2048
config.visual = {
"heads": 2,
"image_size": 448,
"image_start_id": 151857,
"layers": 2,
"mlp_ratio": 1.0,
"output_dim": 8,
"patch_size": 14,
"width": 8,
}
Also, we changed the visual model attention head dim. See upload_model.py for details.