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MaduRox
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Kalpana-Multi-Model-Benchmark
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23 commits
MaduRox
Add on-bar token labels + reduction-factor callout (RIF's advantage was invisible at linear scale); add sample-size caveat to accuracy chart
f63f356
verified
about 1 month ago
.pytest_cache
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about 1 month ago
__pycache__
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about 1 month ago
benchmark
Show visible progress during synthetic generation; cap token count to selected model's real context window (prevents GPU OOM during RIF pack compilation); replace raw exception dumps with clean, actionable error messages
about 1 month ago
clients
Fix RIF chat/completions parsing: API returns SSE stream, not plain JSON, for real (non-mock) queries
about 1 month ago
tests
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about 1 month ago
ui
Add on-bar token labels + reduction-factor callout (RIF's advantage was invisible at linear scale); add sample-size caveat to accuracy chart
about 1 month ago
.dockerignore
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96 Bytes
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about 1 month ago
.gitattributes
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1.52 kB
initial commit
about 1 month ago
Dockerfile
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505 Bytes
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about 1 month ago
README.md
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1.2 kB
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about 1 month ago
app.py
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560 Bytes
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about 1 month ago
requirements.txt
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222 Bytes
Pin fastapi/starlette to versions compatible with gradio 4.44.1's Jinja2Templates usage (starlette 1.x broke template loader hashing)
about 1 month ago