HF Model & Benchmark Matrix

24,078 variants · 14,984 scores · 120 benchmarks

Ming-Lite-Omni

inclusionAI/Ming-Lite-Omni

kind
original
quant
bf16 (16-bit)
family
misc
modality
any-to-any
root model
inclusionAI/Ling-lite
provider
inclusionAI
license
mit
language
—
context
—
library
transformers
vRAM (GB)
—
size on disk
—
downloads
82
likes
200
created
—
last modified
2025-10-27T16:04:58+00:00 (2025)
huggingface
https://huggingface.co/inclusionAI/Ming-Lite-Omni
tags
transformersonnxdiffuserssafetensorsbailingmmtext-generationany-to-anycustom_codearxiv:2506.09344base_model:inclusionAI/Ling-litebase_model:quantized:inclusionAI/Ling-litelicense:mitendpoints_compatibleregion:us

Benchmark scores (11)

benchmarkcategoryscorecontextconfevidence
DocVQAmultimodal93.0DocVQA_TESTmedium| DocVQA_TEST | 93 | <b>95.7</b> |
ChartQAmultimodal85.1ChartQA_TESTmedium| ChartQA_TEST | 85.1 | <b>87.3</b> |
MMBenchmultimodal80.8MMBench_TEST_V11medium| MMBench_TEST_V11 | 80.8 | <b>82.8</b> | 82.0 |
MathVistamultimodal68.1MathVistamedium| MathVista | <b>71.6</b> | 68.1 | 67.9 |
OpenBookQAknowledge61.98high| Ming-lite-omni | <b>4.34</b> | <b>4.63</b> | <b>4.06</b> | 58.84 | 47.53 | 61.98 | 58.36 | 99.04 |
IFEvalinstruction-following58.36high| Ming-lite-omni | <b>4.34</b> | <b>4.63</b> | <b>4.06</b> | 58.84 | 47.53 | 61.98 | 58.36 | 99.04 |
MMMUmultimodal56.3MMMUmedium| MMMU | 56.3 | <b>56.6</b> | 54.8 |
MMMUmultimodal46.3Video-MMMUmedium| Video-MMMU | 46.3 | <b>47.4</b> |
WER VoxPopulispeech-asr5.8high| Ming-lite-omni | 1.47 | **2.55** | **2.52** | 6.31 | 2.96 | 5.95 | 5.46 | 1.44 | 2.80 | **4.15** | **6.89** | **3.39** | **5.80** |
AlpacaEvalchat3.69low| Qwen2-Audio-chat | 3.545 | 3.69 | 3.40 | 35.35 | 35.43 | 49.01 | 22.57 | 98.85 |
WER LibriSpeechspeech-asr1.44high| Ming-lite-omni | 1.47 | **2.55** | **2.52** | 6.31 | 2.96 | 5.95 | 5.46 | 1.44 | 2.80 | **4.15** | **6.89** | **3.39** | **5.80** |

Discussions (0)

none scraped.

Hugging Face model & benchmark data scraped & matrix-ified. 24,078 variants · 14,984 scores · 120 benchmarks.