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License
apache-2.0
Frameworks
gguf
Hardware-aware snippets
Runtime-specific quick starts for plunderstruck/Qwopus3.6-27B-Coder-MTP-ROCmFP4-GGUF. Detected hardware: No explicit hardware metadata.
Task: text-generationTransformersGGUF
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 = "plunderstruck/Qwopus3.6-27B-Coder-MTP-ROCmFP4-GGUF"
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
plunderstruck/Qwopus3.6-27B-Coder-MTP-ROCmFP4-GGUF
Finetuned
1Qwopus3.6-27B-Coder-MTP-ROCmFP4-GGUFselected
Quantizations
0No quantization variants detected.
Model info
Namespace
plunderstruck
Visibility
public
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0
License: apache-2.0
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Base model
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Tags
importedhuggingfaceminioggufrocmfp4qwen3.6qwopuscodermtpspeculative-decodingvisionmultimodalstrix-haloamdrocmvulkanenlicense:apache-2.0region:us