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Hardware-aware snippets
Runtime-specific quick starts for NeoChen1024/llama-joycaption-beta-one-hf-llava-FP8-Dynamic. Detected hardware: No explicit hardware metadata.
Task: text-generationTransformers
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 = "NeoChen1024/llama-joycaption-beta-one-hf-llava-FP8-Dynamic"
pipe = pipeline(
task="text-generation",
model=model_id,
device_map="auto",
model_kwargs={"torch_dtype": "auto"},
)
print(pipe("Hello from Inferix"))
PYModel lineage
1 reposFinetuned
1llama-joycaption-beta-one-hf-llava-FP8-Dynamicselected
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0No quantization variants detected.
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NeoChen1024
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importedhuggingfaceminiosafetensorsllavacaptioningbase_model:fancyfeast/llama-joycaption-beta-one-hf-llavabase_model:quantized:fancyfeast/llama-joycaption-beta-one-hf-llavacompressed-tensorsregion:us