Knowledge Graph
Silytics Knowledge Graph
See how models, datasets, papers and organizations connect. Every link comes from public metadata: papers named on a model card, datasets and base models named in its tags, and the organization that published it. Click any dot to re-center; the smaller outer ring is two steps away.
lbourdois/fineweb-2-trimming
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Connections
- alphaedge-ai/Qwen3.5-2B-bos-32768 Modelused to train
- alphaedge-ai/bge-m3-ukr-16384 Modelused to train
- alphaedge-ai/embeddinggemma-lao-32768 Modelused to train
- luluw/bge-reranker-v2-m3-eng-nep-16k-trimmed-GGUF Modelused to train
- alphaedge-ai/Qwen3-Embedding-est-32768 Modelused to train
- alphaedge-ai/granite-embedding-107m-eng-32768 Modelused to train
- alphaedge-ai/Qwen3-Embedding-heb-16384 Modelused to train
- alphaedge-ai/bge-m3-ces-16384 Modelused to train
- alphaedge-ai/Qwen3.5-4B-bos-32768 Modelused to train
- alphaedge-ai/embeddinggemma-rus-32768 Modelused to train
- alphaedge-ai/multilingual-e5-large-instruct-mon-16384 Modelused to train
- alphaedge-ai/ModernBERT-base-32768 Modelused to train
- alphaedge-ai/multilingual-e5-small-kat-32768 Modelused to train
- alphaedge-ai/multilingual-e5-small-fas-16384 Modelused to train
- alphaedge-ai/multilingual-e5-small-bul-16384 Modelused to train
- alphaedge-ai/clip-ViT-B-32-multilingual-v1-pt-32768 Modelused to train
- alphaedge-ai/multilingual-e5-large-rus-32768 Modelused to train
- alphaedge-ai/bge-m3-fas-32768 Modelused to train
- alphaedge-ai/multilingual-e5-large-nep-16384 Modelused to train
- alphaedge-ai/siglip2-so400m-patch16-512-rus-32768 Modelused to train
- alphaedge-ai/multilingual-e5-small-jpn-16384 Modelused to train
- alphaedge-ai/Qwen3.5-2B-vie-32768 Modelused to train
- alphaedge-ai/multilingual-e5-small-fas-32768 Modelused to train
- alphaedge-ai/multilingual-e5-small-arb-32768 Modelused to train
- alphaedge-ai/multilingual-e5-small-rus-32768 Modelused to train
- alphaedge-ai/multilingual-e5-small-fra-32768 Modelused to train
- alphaedge-ai/granite-embedding-278m-ita-16384 Modelused to train
- BAAI/bge-reranker-v2-m3 Modeltwo steps away
- intfloat/multilingual-e5-small Modeltwo steps away
- shaban2024/Qwen3.5-2B-BOS-Q8-NonThinking Modeltwo steps away
- sentence-transformers/clip-ViT-B-32-multilingual-v1 Modeltwo steps away
- ibm-granite/granite-embedding-278m-multilingual Modeltwo steps away
- BAAI/bge-m3 Modeltwo steps away
- answerdotai/ModernBERT-base Modeltwo steps away
- ibm-granite/granite-embedding-107m-multilingual Modeltwo steps away
- Qwen/Qwen3-Embedding-0.6B Modeltwo steps away
- intfloat/multilingual-e5-large Modeltwo steps away
- google/siglip2-so400m-patch16-512 Modeltwo steps away
- google/embeddinggemma-300m Modeltwo steps away
- intfloat/multilingual-e5-large-instruct Modeltwo steps away
- shaban2024/Qwen3.5-4B-BOS-Q8-NonThinking Modeltwo steps away
- lbourdois/OCR-liboaccn-OPUS-MIT-5M-clean Datasetsame organization
- lbourdois/VQA-neulab-CulturalGround-clean Datasetsame organization
- lbourdois/OCR-neulab-PangeaInstruct-OCR-clean Datasetsame organization
- lbourdois/caption-maya-multimodal-pretrain-clean Datasetsame organization
- lbourdois/panlex Datasetsame organization
- lbourdois/VQA-worldcuisines-vqa-clean Datasetsame organization
Relationships are extracted automatically from public metadata and may be incomplete or wrong. Absence of a link does not mean absence of a relationship. Intelligence · Compare models