Zero-Shot Classification
Safetensors
PEFT
English
openjev
classification
decision-model
listwise
gemma4
research
Instructions to use bambamdevs/openjev-e4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bambamdevs/openjev-e4b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download eval/openjev_1_0_public_benchmark.json from bambamdevs/openjev-e4b: direct link, hf CLI and curl.
- Browser
- Download file 2.26 kB
-
https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/eval/openjev_1_0_public_benchmark.json
- Command line
-
hf download hf://bambamdevs/openjev-e4b/eval/openjev_1_0_public_benchmark.json
-
curl -L -o openjev_1_0_public_benchmark.json https://huggingface.co/bambamdevs/openjev-e4b/resolve/main/eval/openjev_1_0_public_benchmark.json
2.26 kB
| { | |
| "model_line": "openjev-e4b", | |
| "release": "1.0", | |
| "benchmark_artifact": "local NF4 frozen base + dense adapted layers + LoRA + decision head", | |
| "source_summary": "eval/raw_run/summary.json", | |
| "raw_control_summary": "eval/raw_e4b_nf4_control_summary.json", | |
| "tasks": { | |
| "arc_challenge": { | |
| "status": "measured", | |
| "display": "ARC-Challenge", | |
| "n": 1172, | |
| "accuracy": 0.878839590443686, | |
| "nll": 0.3434354264088279, | |
| "brier": 0.18004018282065612, | |
| "ece": 0.018640702693919233, | |
| "p50_ms": 173.45179200128769, | |
| "p95_ms": 241.31601209974178, | |
| "raw_e4b_nf4_accuracy": 0.8737, | |
| "delta_vs_raw_pp": 0.5139590443685949 | |
| }, | |
| "winogrande": { | |
| "status": "measured", | |
| "display": "WinoGrande", | |
| "n": 1267, | |
| "accuracy": 0.664561957379637, | |
| "nll": 0.8732282598352692, | |
| "brier": 0.5079363220206212, | |
| "ece": 0.1986676781891346, | |
| "p50_ms": 168.07529400102794, | |
| "p95_ms": 241.4132092009823, | |
| "raw_e4b_nf4_accuracy": 0.6014, | |
| "delta_vs_raw_pp": 6.316195737963692 | |
| }, | |
| "arc_easy": { | |
| "status": "measured", | |
| "display": "ARC-Easy", | |
| "n": 2376, | |
| "accuracy": 0.9562289562289562, | |
| "nll": 0.15331558248276225, | |
| "brier": 0.07269179989034444, | |
| "ece": 0.029571857402955024, | |
| "p50_ms": 172.40582649901626, | |
| "p95_ms": 231.58336125015921, | |
| "raw_e4b_nf4_accuracy": 0.9558, | |
| "delta_vs_raw_pp": 0.04289562289562232 | |
| }, | |
| "hellaswag": { | |
| "status": "measured", | |
| "display": "HellaSwag", | |
| "n": 10042, | |
| "accuracy": 0.8977295359490142, | |
| "nll": 0.2736215284007136, | |
| "brier": 0.14571887516017584, | |
| "ece": 0.012820075397336044, | |
| "p50_ms": 230.12878749796073, | |
| "p95_ms": 276.0439652007335, | |
| "raw_e4b_nf4_accuracy": 0.7651, | |
| "delta_vs_raw_pp": 13.262953594901417 | |
| }, | |
| "mmlu": { | |
| "status": "measured", | |
| "display": "MMLU", | |
| "n": 14042, | |
| "accuracy": 0.6441390115368181, | |
| "nll": 0.8705675106095903, | |
| "brier": 0.45396635565340543, | |
| "ece": 0.03314363695835977, | |
| "p50_ms": 196.04511249963252, | |
| "p95_ms": 303.28189720094076, | |
| "raw_e4b_nf4_accuracy": 0.6619, | |
| "delta_vs_raw_pp": -1.776098846318197 | |
| } | |
| } | |
| } | |