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com/YutingHe-list/GEMINI","githubRepoAddedBy":"auto","ai_summary":"GEMINI improves dense contrastive representation learning for medical images by incorporating deformable homeomorphism learning and geometric semantic similarity to enhance correspondence discovery, performance, and learning efficiency
from the top result below
https://huggingface.co/papers?q=companion
com/YutingHe-list/GEMINI","githubRepoAddedBy":"auto","ai_summary":"GEMINI improves dense contrastive representation learning for medical images by incorporating deformable homeomorphism learning and geometric semantic similarity to enhance correspondence discovery, performance, and learning efficiency
https://huggingface.co/zai-org/GLM-5.3
","pad_token":"<|endoftext|>"},"chat_template_jinja":"[gMASK]<sop>\n{%- set effective_reasoning_effort = reasoning_effort if reasoning_effort is defined and reasoning_effort in ['low', 'high'] else 'max' -%}\n{%- if effective_reasoning_effort is not none -%}<|system|>Reasoning Effort: {{ effective_reasoning_effort
https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B
') }}\n{%- endif %}\n{%- set reasoning_instructions = '' %}\n{%- set resolved_reasoning_effort = reasoning_effort|default('xhigh') %}\n{%- if resolved_reasoning_effort not in ('xhigh', 'medium', 'low') %}\n {{- raise_exception('Unexpected reasoning effort ' ~ reasoning_effort ~
https://huggingface.co/KoboldAI/LLaMA2-13B-Tiefighter-GGUF/resolve/main/LLaMA2-13B-Tiefighter.Q4_K_S.gguf
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https://huggingface.co/unsloth/gemma-3-12b-it-GGUF/resolve/main/gemma-3-12b-it-Q4_K_M.gguf
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https://huggingface.co/ggml-org/gemma-3-1b-it-GGUF/resolve/main/gemma-3-1b-it-Q4_K_M.gguf
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https://huggingface.co/microsoft/Mage-ViT
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https://huggingface.co/languages
You can click on the figures on the right to the lists of actual models and datasets
https://huggingface.co/datasets/allenai/c4
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