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Datasets:
basecompute
/
quant-fidelity-eval
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Base Compute
23
Modalities:
Text
Formats:
json
Size:
< 1K
Tags:
quantization
evaluation
kl-divergence
agentic
tool-use
Libraries:
Datasets
pandas
Polars
+ 1
Dataset card
Data Studio
Files
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xet
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1
main
quant-fidelity-eval
1.64 MB
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1 contributor
History:
3 commits
prabodbc
Trim the card; the builder writes the JSONL prompts only
d7f4f7c
verified
about 17 hours ago
.gitattributes
Safe
2.5 kB
initial commit
6 days ago
README.md
Safe
2.56 kB
Trim the card; the builder writes the JSONL prompts only
about 17 hours ago
build_public.py
Safe
6.51 kB
Trim the card; the builder writes the JSONL prompts only
about 17 hours ago
public_manifest.json
Safe
62.9 kB
Trim the card; the builder writes the JSONL prompts only
about 17 hours ago
public_off_prompts.jsonl
Safe
940 kB
Public-source quant fidelity eval: 140 on-policy + 100 forced prompts, manifest, builder
6 days ago
public_on_prompts.jsonl
Safe
627 kB
Public-source quant fidelity eval: 140 on-policy + 100 forced prompts, manifest, builder
6 days ago
