int8 and fp8 both engage and render cleanly on this family, including short prompts on int8: the routed MoE expert Linears only ever see the concatenated image+text stream (M >> 16), so the torch._int_mm minimum never binds. Pin the no-deny / no-extra-excludes state so a future edit cannot silently regress the measured behavior. |
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|---|---|---|
| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_node_prebuilt.py | ||
| install_python_stack.py | ||
| install_sd_cpp_prebuilt.py | ||
| LICENSE.AGPL-3.0 | ||
| node_prebuilt_pins.json | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||