--- quantized_by: bartowski pipeline_tag: text-generation language: - en - ar - cs - de - es - fr - it - ja - ko - nl - pt - zh tags: - language - granite - embeddings - multilingual license: apache-2.0 base_model: ibm-granite/granite-embedding-278m-multilingual model-index: - name: ibm-granite/granite-embedding-278m-multilingual results: - task: type: Retrieval dataset: name: Miracl (en) type: miracl/mmteb-miracl config: en split: dev metrics: - type: ndcg_at_1 value: 0.45557 - type: ndcg_at_10 value: 0.49372 - type: ndcg_at_100 value: 0.5728 - type: ndcg_at_1000 value: 0.59187 - type: ndcg_at_20 value: 0.52863 - type: ndcg_at_3 value: 0.43969 - type: ndcg_at_5 value: 0.45551 - type: recall_at_1 value: 0.21785 - type: recall_at_10 value: 0.59513 - type: recall_at_100 value: 0.85785 - type: recall_at_1000 value: 0.96041 - type: recall_at_20 value: 0.69357 - type: recall_at_3 value: 0.40403 - type: recall_at_5 value: 0.48499 - task: type: Retrieval dataset: name: Miracl (ar) type: miracl/mmteb-miracl config: ar split: dev metrics: - type: ndcg_at_1 value: 0.57459 - type: ndcg_at_10 value: 0.64238 - type: ndcg_at_100 value: 0.6867 - type: ndcg_at_1000 value: 0.6951 - type: ndcg_at_20 value: 0.66455 - type: ndcg_at_3 value: 0.58162 - type: ndcg_at_5 value: 0.60831 - type: recall_at_1 value: 0.38064 - type: recall_at_10 value: 0.75098 - type: recall_at_100 value: 0.91203 - type: recall_at_1000 value: 0.96706 - type: recall_at_20 value: 0.81978 - type: recall_at_3 value: 0.58618 - type: recall_at_5 value: 0.66353 - task: type: Retrieval dataset: name: Miracl (bn) type: miracl/mmteb-miracl config: bn split: dev metrics: - type: ndcg_at_1 value: 0.60341 - type: ndcg_at_10 value: 0.68055 - type: ndcg_at_100 value: 0.72008 - type: ndcg_at_1000 value: 0.72716 - type: ndcg_at_20 value: 0.69914 - type: ndcg_at_3 value: 0.60805 - type: ndcg_at_5 value: 0.64486 - type: recall_at_1 value: 0.37948 - type: recall_at_10 value: 0.80609 - type: recall_at_100 value: 0.94305 - type: recall_at_1000 value: 0.98625 - type: recall_at_20 value: 0.86141 - type: recall_at_3 value: 0.61095 - type: recall_at_5 value: 0.71316 - task: type: Retrieval dataset: name: Miracl (de) type: miracl/mmteb-miracl config: de split: dev metrics: - type: ndcg_at_1 value: 0.45574 - type: ndcg_at_10 value: 0.48123 - type: ndcg_at_100 value: 0.56049 - type: ndcg_at_1000 value: 0.57979 - type: ndcg_at_20 value: 0.51785 - type: ndcg_at_3 value: 0.41243 - type: ndcg_at_5 value: 0.4386 - type: recall_at_1 value: 0.20401 - type: recall_at_10 value: 0.58779 - type: recall_at_100 value: 0.8584 - type: recall_at_1000 value: 0.97364 - type: recall_at_20 value: 0.69061 - type: recall_at_3 value: 0.36573 - type: recall_at_5 value: 0.47495 - task: type: Retrieval dataset: name: Miracl (es) type: miracl/mmteb-miracl config: es split: dev metrics: - type: ndcg_at_1 value: 0.5571 - type: ndcg_at_10 value: 0.49688 - type: ndcg_at_100 value: 0.60493 - type: ndcg_at_1000 value: 0.62922 - type: ndcg_at_20 value: 0.54438 - type: ndcg_at_3 value: 0.47981 - type: ndcg_at_5 value: 0.46584 - type: recall_at_1 value: 0.1638 - type: recall_at_10 value: 0.54155 - type: recall_at_100 value: 0.85136 - type: recall_at_1000 value: 0.96951 - type: recall_at_20 value: 0.65329 - type: recall_at_3 value: 0.31503 - type: recall_at_5 value: 0.40356 - task: type: Retrieval dataset: name: Miracl (fa) type: miracl/mmteb-miracl config: fa split: dev metrics: - type: ndcg_at_1 value: 0.39873 - type: ndcg_at_10 value: 0.50226 - type: ndcg_at_100 value: 0.56517 - type: ndcg_at_1000 value: 0.57967 - type: ndcg_at_20 value: 0.5292 - type: ndcg_at_3 value: 0.42738 - type: ndcg_at_5 value: 0.45843 - type: recall_at_1 value: 0.25369 - type: recall_at_10 value: 0.63776 - type: recall_at_100 value: 0.87686 - type: recall_at_1000 value: 0.9671 - type: recall_at_20 value: 0.72099 - type: recall_at_3 value: 0.43808 - type: recall_at_5 value: 0.52378 - task: type: Retrieval dataset: name: Miracl (fi) type: miracl/mmteb-miracl config: fi split: dev metrics: - type: ndcg_at_1 value: 0.60818 - type: ndcg_at_10 value: 0.6746 - type: ndcg_at_100 value: 0.71516 - type: ndcg_at_1000 value: 0.7218 - type: ndcg_at_20 value: 0.69692 - type: ndcg_at_3 value: 0.6006 - type: ndcg_at_5 value: 0.63842 - type: recall_at_1 value: 0.39264 - type: recall_at_10 value: 0.78577 - type: recall_at_100 value: 0.93291 - type: recall_at_1000 value: 0.97493 - type: recall_at_20 value: 0.85435 - type: recall_at_3 value: 0.61055 - type: recall_at_5 value: 0.69774 - task: type: Retrieval dataset: name: Miracl (fr) type: miracl/mmteb-miracl config: fr split: dev metrics: - type: ndcg_at_1 value: 0.3965 - type: ndcg_at_10 value: 0.49891 - type: ndcg_at_100 value: 0.56492 - type: ndcg_at_1000 value: 0.57837 - type: ndcg_at_20 value: 0.53163 - type: ndcg_at_3 value: 0.39843 - type: ndcg_at_5 value: 0.44416 - type: recall_at_1 value: 0.22644 - type: recall_at_10 value: 0.65169 - type: recall_at_100 value: 0.89786 - type: recall_at_1000 value: 0.98081 - type: recall_at_20 value: 0.75338 - type: recall_at_3 value: 0.39798 - type: recall_at_5 value: 0.51001 - task: type: Retrieval dataset: name: Miracl (hi) type: miracl/mmteb-miracl config: hi split: dev metrics: - type: ndcg_at_1 value: 0.36857 - type: ndcg_at_10 value: 0.46141 - type: ndcg_at_100 value: 0.52565 - type: ndcg_at_1000 value: 0.54319 - type: ndcg_at_20 value: 0.49384 - type: ndcg_at_3 value: 0.39469 - type: ndcg_at_5 value: 0.4184 - type: recall_at_1 value: 0.20185 - type: recall_at_10 value: 0.59474 - type: recall_at_100 value: 0.83385 - type: recall_at_1000 value: 0.94813 - type: recall_at_20 value: 0.69437 - type: recall_at_3 value: 0.38993 - type: recall_at_5 value: 0.47881 - task: type: Retrieval dataset: name: Miracl (id) type: miracl/mmteb-miracl config: id split: dev metrics: - type: ndcg_at_1 value: 0.46354 - type: ndcg_at_10 value: 0.47229 - type: ndcg_at_100 value: 0.5525 - type: ndcg_at_1000 value: 0.57648 - type: ndcg_at_20 value: 0.50606 - type: ndcg_at_3 value: 0.42538 - type: ndcg_at_5 value: 0.43717 - type: recall_at_1 value: 0.20787 - type: recall_at_10 value: 0.54771 - type: recall_at_100 value: 0.80689 - type: recall_at_1000 value: 0.94032 - type: recall_at_20 value: 0.63842 - type: recall_at_3 value: 0.36229 - type: recall_at_5 value: 0.44437 - task: type: Retrieval dataset: name: Miracl (ja) type: miracl/mmteb-miracl config: ja split: dev metrics: - type: ndcg_at_1 value: 0.56279 - type: ndcg_at_10 value: 0.6281 - type: ndcg_at_100 value: 0.67757 - type: ndcg_at_1000 value: 0.68667 - type: ndcg_at_20 value: 0.6521 - type: ndcg_at_3 value: 0.56226 - type: ndcg_at_5 value: 0.5866 - type: recall_at_1 value: 0.36648 - type: recall_at_10 value: 0.7496 - type: recall_at_100 value: 0.92461 - type: recall_at_1000 value: 0.97827 - type: recall_at_20 value: 0.82326 - type: recall_at_3 value: 0.55845 - type: recall_at_5 value: 0.63854 - task: type: Retrieval dataset: name: Miracl (ko) type: miracl/mmteb-miracl config: ko split: dev metrics: - type: ndcg_at_1 value: 0.52582 - type: ndcg_at_10 value: 0.59216 - type: ndcg_at_100 value: 0.65093 - type: ndcg_at_1000 value: 0.66204 - type: ndcg_at_20 value: 0.62427 - type: ndcg_at_3 value: 0.5373 - type: ndcg_at_5 value: 0.55886 - type: recall_at_1 value: 0.30521 - type: recall_at_10 value: 0.71159 - type: recall_at_100 value: 0.90203 - type: recall_at_1000 value: 0.96714 - type: recall_at_20 value: 0.80209 - type: recall_at_3 value: 0.515 - type: recall_at_5 value: 0.6071 - task: type: Retrieval dataset: name: Miracl (ru) type: miracl/mmteb-miracl config: ru split: dev metrics: - type: ndcg_at_1 value: 0.47524 - type: ndcg_at_10 value: 0.52349 - type: ndcg_at_100 value: 0.59725 - type: ndcg_at_1000 value: 0.61313 - type: ndcg_at_20 value: 0.55669 - type: ndcg_at_3 value: 0.46812 - type: ndcg_at_5 value: 0.48442 - type: recall_at_1 value: 0.24337 - type: recall_at_10 value: 0.62437 - type: recall_at_100 value: 0.86489 - type: recall_at_1000 value: 0.95266 - type: recall_at_20 value: 0.71411 - type: recall_at_3 value: 0.42927 - type: recall_at_5 value: 0.51258 - task: type: Retrieval dataset: name: Miracl (sw) type: miracl/mmteb-miracl config: sw split: dev metrics: - type: ndcg_at_1 value: 0.5166 - type: ndcg_at_10 value: 0.61271 - type: ndcg_at_100 value: 0.66099 - type: ndcg_at_1000 value: 0.66867 - type: ndcg_at_20 value: 0.63643 - type: ndcg_at_3 value: 0.54828 - type: ndcg_at_5 value: 0.57382 - type: recall_at_1 value: 0.35277 - type: recall_at_10 value: 0.74368 - type: recall_at_100 value: 0.92261 - type: recall_at_1000 value: 0.97109 - type: recall_at_20 value: 0.81888 - type: recall_at_3 value: 0.56739 - type: recall_at_5 value: 0.6421 - task: type: Retrieval dataset: name: Miracl (te) type: miracl/mmteb-miracl config: te split: dev metrics: - type: ndcg_at_1 value: 0.63768 - type: ndcg_at_10 value: 0.79193 - type: ndcg_at_100 value: 0.80243 - type: ndcg_at_1000 value: 0.80438 - type: ndcg_at_20 value: 0.79549 - type: ndcg_at_3 value: 0.76031 - type: ndcg_at_5 value: 0.77915 - type: recall_at_1 value: 0.63084 - type: recall_at_10 value: 0.92411 - type: recall_at_100 value: 0.97363 - type: recall_at_1000 value: 0.98833 - type: recall_at_20 value: 0.9374 - type: recall_at_3 value: 0.84159 - type: recall_at_5 value: 0.88627 - task: type: Retrieval dataset: name: Miracl (th) type: miracl/mmteb-miracl config: th split: dev metrics: - type: ndcg_at_1 value: 0.66712 - type: ndcg_at_10 value: 0.73324 - type: ndcg_at_100 value: 0.76633 - type: ndcg_at_1000 value: 0.77119 - type: ndcg_at_20 value: 0.75243 - type: ndcg_at_3 value: 0.67393 - type: ndcg_at_5 value: 0.70201 - type: recall_at_1 value: 0.47106 - type: recall_at_10 value: 0.84294 - type: recall_at_100 value: 0.95949 - type: recall_at_1000 value: 0.98874 - type: recall_at_20 value: 0.90085 - type: recall_at_3 value: 0.68456 - type: recall_at_5 value: 0.75915 - task: type: Retrieval dataset: name: Miracl (yo) type: miracl/mmteb-miracl config: yo split: dev metrics: - type: ndcg_at_1 value: 0.4958 - type: ndcg_at_10 value: 0.68705 - type: ndcg_at_100 value: 0.70664 - type: ndcg_at_1000 value: 0.71197 - type: ndcg_at_20 value: 0.698 - type: ndcg_at_3 value: 0.64793 - type: ndcg_at_5 value: 0.66709 - type: recall_at_1 value: 0.46289 - type: recall_at_10 value: 0.85154 - type: recall_at_100 value: 0.93557 - type: recall_at_1000 value: 0.97479 - type: recall_at_20 value: 0.89076 - type: recall_at_3 value: 0.7507 - type: recall_at_5 value: 0.79202 - task: type: Retrieval dataset: name: Miracl (zh) type: miracl/mmteb-miracl config: zh split: dev metrics: - type: ndcg_at_1 value: 0.47583 - type: ndcg_at_10 value: 0.52553 - type: ndcg_at_100 value: 0.6 - type: ndcg_at_1000 value: 0.61415 - type: ndcg_at_20 value: 0.55668 - type: ndcg_at_3 value: 0.45839 - type: ndcg_at_5 value: 0.48127 - type: recall_at_1 value: 0.24488 - type: recall_at_10 value: 0.63659 - type: recall_at_100 value: 0.89702 - type: recall_at_1000 value: 0.97996 - type: recall_at_20 value: 0.72652 - type: recall_at_3 value: 0.42827 - type: recall_at_5 value: 0.52081 --- ## 💫 Community Model> granite embedding 278m multilingual by Ibm-Granite *👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*. **Model creator:** [ibm-granite](https://huggingface.co/ibm-granite)
**Original model**: [granite-embedding-278m-multilingual](https://huggingface.co/ibm-granite/granite-embedding-278m-multilingual)
**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b4381](https://github.com/ggerganov/llama.cpp/releases/tag/b4381)
## Technical Details Embedding model with vector size 768 Max length of 512 tokens 278 million parameters for high quality fast embedding Supported Languages: English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. ## Special thanks 🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible. ## Disclaimers LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.