No model card yet.
License
apache-2.0
Tasks
image-text-to-text
Frameworks
transformers
Hardware-aware snippets
Runtime-specific quick starts for hamishivi/Qwen3.5-4B. Detected hardware: No explicit hardware metadata.
Task: image-text-to-textTransformers
NVIDIA CUDA path
Best default for NVIDIA GPUs and hosted accelerator nodes.
pip install torch transformers accelerate
python - <<'PY'
from transformers import pipeline
model_id = "hamishivi/Qwen3.5-4B"
pipe = pipeline(
task="image-text-to-text",
model=model_id,
device_map="auto",
model_kwargs={"torch_dtype": "auto"},
)
print(pipe("Hello from Inferix"))
PYModel lineage
1 reposBase model
Qwen/Qwen3.5-4B-BaseFinetuned
1Qwen3.5-4Bselected
Quantizations
0No quantization variants detected.
Model info
Namespace
hamishivi
Visibility
public
Downloads
0
Likes
0
License: apache-2.0
Evaluation results
Entries
0
Tasks
0
Datasets
0
No evaluation results published yet.
Metadata links
Inference providers
0/0 fitNot available for inference yet.
Spaces using this model
No spaces linked yet.
Part of collections
No public collections include this model.
Tags
importedhuggingfaceminiotransformerssafetensorsqwen3_5image-text-to-textconversationalbase_model:Qwen/Qwen3.5-4B-Basebase_model:finetune:Qwen/Qwen3.5-4B-Baselicense:apache-2.0endpoints_compatibleregion:us