Text Classification
Transformers
Safetensors
English
qwen3_5_text
text-generation
decision-model
typed-decisions
one-pass
option-probabilities
Instructions to use thegovind/blink-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thegovind/blink-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thegovind/blink-4b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("thegovind/blink-4b") model = AutoModelForCausalLM.from_pretrained("thegovind/blink-4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download eval/decision-index-0.2-local.json from thegovind/blink-4b: direct link, hf CLI and curl.
- Browser
- Download file 29.8 kB
-
https://huggingface.co/thegovind/blink-4b/resolve/5fbc1e9cd9912d912c7cf412b7da29937ca20f30/eval/decision-index-0.2-local.json
- Command line
-
hf download hf://thegovind/blink-4b@5fbc1e9cd9912d912c7cf412b7da29937ca20f30/eval/decision-index-0.2-local.json
-
curl -L -o decision-index-0.2-local.json https://huggingface.co/thegovind/blink-4b/resolve/5fbc1e9cd9912d912c7cf412b7da29937ca20f30/eval/decision-index-0.2-local.json
29.8 kB
| { | |
| "engine": "blink-4b", | |
| "edition": "Decision Index 0.2 (local run, descriptive)", | |
| "generated_utc": "2026-09-25T23:11:52+00:00", | |
| "suite": { | |
| "edition": "release-v2", | |
| "requests": 121057, | |
| "scoreable": 120615, | |
| "excluded": 442, | |
| "added_requests": 30419, | |
| "benchmarks": 44, | |
| "rows_sha256": "b2b56d6fb636837ca469e689087bdbf373dda8de7638aa2da6793e6eda0792d5", | |
| "added_sha256": "7429f3c9cdddb772c1cfc42bb2a45e8516b0032152b746e6929f1c8b52f4ce89" | |
| }, | |
| "completed": 151034, | |
| "complete": true, | |
| "counts": { | |
| "ok": 151034 | |
| }, | |
| "latency_ms": { | |
| "median": 30.6, | |
| "p95": 717.1, | |
| "mean": 144.9 | |
| }, | |
| "decision_index": 37.85, | |
| "raw_index": 53.33, | |
| "scores": { | |
| "balanced_skill": 37.85, | |
| "balanced_raw": 53.33, | |
| "breadth_skill": 36.78 | |
| }, | |
| "areas": [ | |
| { | |
| "id": "knowledge", | |
| "label": "Knowledge & Reasoning", | |
| "raw": 0.431, | |
| "skill": 0.2642, | |
| "coverage": 1.0, | |
| "n": 10, | |
| "benchmarks": [ | |
| 25, | |
| 30, | |
| 31, | |
| 32, | |
| 33, | |
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| 44, | |
| 45, | |
| 57, | |
| 58 | |
| ] | |
| }, | |
| { | |
| "id": "language", | |
| "label": "Language Understanding", | |
| "raw": 0.6271, | |
| "skill": 0.4735, | |
| "coverage": 1.0, | |
| "n": 10, | |
| "benchmarks": [ | |
| 11, | |
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| 38, | |
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| 41, | |
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| 59 | |
| ] | |
| }, | |
| { | |
| "id": "retrieval", | |
| "label": "Retrieval & Classification", | |
| "raw": 0.5468, | |
| "skill": 0.3676, | |
| "coverage": 1.0, | |
| "n": 7, | |
| "benchmarks": [ | |
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| 61 | |
| ] | |
| }, | |
| { | |
| "id": "tools", | |
| "label": "Tools & Automation", | |
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| "skill": 0.5155, | |
| "coverage": 1.0, | |
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| }, | |
| { | |
| "id": "arts", | |
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| { | |
| "track": "A \u00b7 Arabic", | |
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| { | |
| "track": "A \u00b7 English", | |
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| { | |
| "track": "C \u00b7 Arabic pairs", | |
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| "in_index": true | |
| }, | |
| "6": { | |
| "catalog_id": 6, | |
| "dataset": "RouterBench", | |
| "requests": 10000, | |
| "answered": 10000, | |
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| "errors": 0, | |
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| "pending": 0, | |
| "scored_requests": 10000, | |
| "metric": "selected quality (quality objective)", | |
| "score": 0.7905, | |
| "reference_same_cases": null, | |
| "median_ms": 262.7, | |
| "tracks": [ | |
| { | |
| "track": "RouterBench-0shot", | |
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| "headline": false | |
| }, | |
| { | |
| "track": "RouterBench-5shot", | |
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| "headline": false | |
| } | |
| ], | |
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| "in_index": true | |
| }, | |
| "9": { | |
| "catalog_id": 9, | |
| "dataset": "Home appliance simulator", | |
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| "answered": 160, | |
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| "chance": 0.3101, | |
| "in_index": true | |
| }, | |
| "59": { | |
| "catalog_id": 59, | |
| "dataset": "RAGTruth response-level hallucination", | |
| "requests": 2700, | |
| "answered": 2700, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "F1 on hallucinated class", | |
| "score": 0.6648, | |
| "median_ms": 50.6, | |
| "scored_requests": 2700, | |
| "index_raw": 0.6648, | |
| "index_skill": 0.4306, | |
| "coverage": 1.0, | |
| "chance": 0.4113, | |
| "in_index": true | |
| }, | |
| "61": { | |
| "catalog_id": 61, | |
| "dataset": "HoVer claim verification", | |
| "requests": 4000, | |
| "answered": 4000, | |
| "unsupported": 0, | |
| "errors": 0, | |
| "abstained": 0, | |
| "pending": 0, | |
| "metric": "accuracy", | |
| "score": 0.6308, | |
| "median_ms": 29.9, | |
| "scored_requests": 4000, | |
| "index_raw": 0.6308, | |
| "index_skill": 0.2616, | |
| "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": 0.6276, | |
| "median_ms": 52.3, | |
| "scored_requests": 3652, | |
| "index_raw": 0.6276, | |
| "index_skill": 0.5035, | |
| "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": 0.589, | |
| "median_ms": 16.6, | |
| "scored_requests": 528, | |
| "index_raw": 0.589, | |
| "index_skill": 0.4862, | |
| "coverage": 1.0, | |
| "chance": 0.2, | |
| "in_index": true | |
| } | |
| }, | |
| "panel_id": "decision-index-0.2", | |
| "note": "Decision Index 0.2 averages 40 benchmarks in five equal-weight areas: each area is the plain mean of its benchmarks and the index is 100 x the 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, SimpleBench 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 40 index benchmarks. Point estimates only, no uncertainty intervals yet.", | |
| "local_run": { | |
| "kit_commit": "19ad28ec9485493cc4f7fc07d91c178f948e6434", | |
| "evaluated": "2026-09-25", | |
| "note": "Scored locally with the official kit; not a leaderboard submission or result. Requests shared with 0.1 reuse this model's 0.1 predictions; the added requests ran with the same frozen evaluation setup at temperature 1.0. No leaderboard-style exposure penalty is applied: known training exposure (see the model card) stays in these scores.", | |
| "without_mmlu_pro": 37.41, | |
| "screening": [ | |
| { | |
| "stage": "T3", | |
| "rows": 23156, | |
| "matched": 138, | |
| "by_source": { | |
| "MMLU-Pro": 131, | |
| "SuperGPQA": 6, | |
| "BoolQ": 1, | |
| "MedMCQA": 0 | |
| } | |
| }, | |
| { | |
| "stage": "T4", | |
| "rows": 42360, | |
| "matched": 156, | |
| "by_source": { | |
| "MMLU-Pro": 148, | |
| "SuperGPQA": 7, | |
| "BoolQ": 1, | |
| "MedMCQA": 0 | |
| } | |
| } | |
| ], | |
| "timing_note": "latency_ms and every benchmark's median_ms are each request's share of batched inference time, allocated by prompt tokens. They are not serial-request or HTTP-serving latency and shouldn't be used for serving-latency comparisons." | |
| } | |
| } |