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.

mradermacher/bobcat-flash-1.2-GGUF

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Connections

nvidia/HelpSteer3 Datasettrained on
PolyAI/banking77 Datasettrained on
openai/gsm8k Datasettrained on
nvidia/HelpSteer2 Datasettrained on
clinc/clinc_oos Datasettrained on
truthfulqa/truthful_qa Datasettrained on
klue/klue Datasettrained on
e9t/nsmc Datasettrained on
nyu-mll/multi_nli Datasettrained on
kakaobrain/kor_nli Datasettrained on
allenai/ai2_arc Datasettrained on
google/boolq Datasettrained on
Anthropic/hh-rlhf Datasettrained on
AmazonScience/massive Datasettrained on
stanfordnlp/snli Datasettrained on
OpenAssistant/oasst2 Datasettrained on
nvidia/Llama-3.1-Nemotron-70B-Instruct-HF Modeltwo steps away
Ray2333/gpt2-large-harmless-reward_model Modeltwo steps away
jaredpalmer/kev-4b Modeltwo steps away
kurcontko/Tiny-Chick-10M-V3 Modeltwo steps away
cross-encoder/nli-deberta-v3-xsmall Modeltwo steps away
ouilyh/qwen3-0.6b-moore-instruct Modeltwo steps away
cross-encoder/nli-distilroberta-base Modeltwo steps away
cross-encoder/nli-deberta-v3-small Modeltwo steps away
ig1/Qwen3.5-9B-NVFP4 Modeltwo steps away
cross-encoder/nli-deberta-v3-base Modeltwo steps away
OpenAssistant/reward-model-deberta-v3-large-v2 Modeltwo steps away
LxzGordon/URM-LLaMa-3.1-8B Modeltwo steps away
cross-encoder/nli-deberta-v3-large Modeltwo steps away
cross-encoder/nli-MiniLM2-L6-H768 Modeltwo steps away
mradermacher/Ornith-1.5-9B-uncensored-GGUF Modelsame organization
mradermacher/Qwen3-VL-8B-Instruct-abliterated-GGUF Modelsame organization
mradermacher/Cyber-Ornith-1.5-9B-OBLITERATED-i1-GGUF Modelsame organization
mradermacher/Simplicio-27B-GGUF Modelsame organization
mradermacher/Hemmingway-1-GGUF Modelsame organization
mradermacher/AdaVaR-3B-GGUF Modelsame 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