Feature Extraction
Transformers
Safetensors
qwen3_5
matilda
jev
fp4
quantized
maincode
8-bit precision
Instructions to use Maincode/matilda-jev-fp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maincode/matilda-jev-fp4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Maincode/matilda-jev-fp4")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Maincode/matilda-jev-fp4") model = AutoModel.from_pretrained("Maincode/matilda-jev-fp4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scores.json from Maincode/matilda-jev-fp4: direct link, hf CLI and curl.
- Browser
- Download file 33 kB
-
https://huggingface.co/Maincode/matilda-jev-fp4/resolve/main/scores.json
- Command line
-
hf download hf://Maincode/matilda-jev-fp4/scores.json
-
curl -L -o scores.json https://huggingface.co/Maincode/matilda-jev-fp4/resolve/main/scores.json
33 kB
| { | |
| "engine": "matilda-jev-di62p43-fp4", | |
| "edition": "0.2.1", | |
| "generated_utc": "2026-10-06T16:58:26+00:00", | |
| "suite": { | |
| "edition": "release-v2.1", | |
| "requests": 120340, | |
| "scoreable": 119898, | |
| "excluded": 442, | |
| "added_requests": 30419, | |
| "benchmarks": 44, | |
| "rows_sha256": "b2b56d6fb636837ca469e689087bdbf373dda8de7638aa2da6793e6eda0792d5", | |
| "added_sha256": "7429f3c9cdddb772c1cfc42bb2a45e8516b0032152b746e6929f1c8b52f4ce89" | |
| }, | |
| "completed": 150317, | |
| "complete": true, | |
| "counts": { | |
| "ok": 150317 | |
| }, | |
| "latency_ms": { | |
| "median": 71.3, | |
| "p95": 408.4, | |
| "mean": 137.5 | |
| }, | |
| "decision_index": 61.77, | |
| "raw_index": 70.9, | |
| "scores": { | |
| "balanced_skill": 61.77, | |
| "balanced_raw": 70.9, | |
| "breadth_skill": 60.48 | |
| }, | |
| "areas": [ | |
| { | |
| "id": "knowledge", | |
| "label": "Knowledge & Reasoning", | |
| "raw": 0.5747, | |
| "skill": 0.4645, | |
| "coverage": 1.0, | |
| "n": 10, | |
| "benchmarks": [ | |
| 25, | |
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| }, | |
| { | |
| "id": "language", | |
| "label": "Language Understanding", | |
| "raw": 0.7864, | |
| "skill": 0.6924, | |
| "coverage": 1.0, | |
| "n": 10, | |
| "benchmarks": [ | |
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| }, | |
| { | |
| "id": "retrieval", | |
| "label": "Retrieval & Classification", | |
| "raw": 0.7403, | |
| "skill": 0.6441, | |
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| "n": 6, | |
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| 56, | |
| 61 | |
| ] | |
| }, | |
| { | |
| "id": "tools", | |
| "label": "Tools & Automation", | |
| "raw": 0.8286, | |
| "skill": 0.8076, | |
| "coverage": 1.0, | |
| "n": 5, | |
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| 9, | |
| 62 | |
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| }, | |
| { | |
| "id": "arts", | |
| "label": "Arts & Human Taste", | |
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| "skill": 0.4205, | |
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| "catalog_id": 61, | |
| "dataset": "HoVer claim verification", | |
| "requests": 4000, | |
| "answered": 4000, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "accuracy", | |
| "score": 0.8632, | |
| "median_ms": 75.6, | |
| "scored_requests": 4000, | |
| "index_raw": 0.8632, | |
| "index_skill": 0.7264, | |
| "coverage": 1.0, | |
| "chance": 0.5, | |
| "in_index": true | |
| }, | |
| "62": { | |
| "catalog_id": 62, | |
| "dataset": "When2Call MCQ", | |
| "requests": 3652, | |
| "answered": 3652, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "accuracy", | |
| "score": 0.8612, | |
| "median_ms": 93.7, | |
| "scored_requests": 3652, | |
| "index_raw": 0.8612, | |
| "index_skill": 0.8149, | |
| "coverage": 1.0, | |
| "chance": 0.25, | |
| "in_index": true | |
| }, | |
| "64": { | |
| "catalog_id": 64, | |
| "dataset": "New Yorker caption matching", | |
| "requests": 528, | |
| "answered": 528, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "accuracy", | |
| "score": 0.7083, | |
| "median_ms": 63.8, | |
| "scored_requests": 528, | |
| "index_raw": 0.7083, | |
| "index_skill": 0.6354, | |
| "coverage": 1.0, | |
| "chance": 0.2, | |
| "in_index": true | |
| } | |
| }, | |
| "panel_id": "decision-index-0.2.1", | |
| "note": "Decision Index 0.2.1 averages 38 benchmarks in five areas. Arts & Human Taste weighs 10%; the other four share 90% in proportion to the square root of their benchmark count (knowledge 25.8%, language 25.8%, retrieval 20.0%, tools 18.3%). Inside an area, gold ★ benchmarks weigh 1.2 and the rest 1.0; the index is 100 x the weighted mean of the five areas. Each benchmark is chance-corrected first, (score - chance) / (1 - chance) clipped to 0-1, so 0 means random guessing and 100 means perfect. Every score is coverage-adjusted, so an unanswered or unsupported request counts as wrong. ForecastBench enters against its baseline: clip((0.25 - Brier) / 0.25) x coverage, so always predicting 0.5 scores zero. MMLU, ARC-Easy, ARC-Challenge, RouterBench, SGD stay on the board as non-index benchmarks. The six interactive environments are still unrun and stay out. Every entrant on the board has results on all 38 index benchmarks. Point estimates only, no uncertainty intervals yet." | |
| } | |