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License
apache-2.0
Tasks
text-generation
Frameworks
rkllm
Hardware-aware snippets
Runtime-specific quick starts for randomblock1/Qwen3-4B-Instruct-2507-rk3588. 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 = "randomblock1/Qwen3-4B-Instruct-2507-rk3588"
pipe = pipeline(
task="text-generation",
model=model_id,
device_map="auto",
model_kwargs={"torch_dtype": "auto"},
)
print(pipe("Hello from Inferix"))
PYModel lineage
1 reposBase model
Qwen/Qwen3-4B-Instruct-2507Finetuned
1Qwen3-4B-Instruct-2507-rk3588selected
Quantizations
0No quantization variants detected.
Model info
Namespace
randomblock1
Visibility
public
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0
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0
License: apache-2.0
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Metadata links
Base model
Qwen/Qwen3-4B-Instruct-2507Trained on datasets
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Linked papers
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Inference providers
0/0 fitNot available for inference yet.
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Tags
importedhuggingfaceminiorkllmtext-generationarxiv:2505.09388base_model:Qwen/Qwen3-4B-Instruct-2507base_model:finetune:Qwen/Qwen3-4B-Instruct-2507license:apache-2.0region:us