F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
Paper • 2603.19223 • Published • 28
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F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
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codefuse-ai/F2LLM-v2-14B
Feature Extraction • 14B • Updated • 232 • 2
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 114 • 3
codefuse-ai/F2LLM-v2-4B
Feature Extraction • 4B • Updated • 227 • 2
codefuse-ai/F2LLM-v2-1.7B
Feature Extraction • Updated • 276 • 3
codefuse-ai/F2LLM-v2-0.6B
Feature Extraction • Updated • 252 • 2
codefuse-ai/F2LLM-v2-330M
Feature Extraction • Updated • 164 • 2
codefuse-ai/F2LLM-v2-160M
Feature Extraction • Updated • 166 • 2
codefuse-ai/F2LLM-v2-80M
Feature Extraction • Updated • 205 • 3
codefuse-ai/F2LLM-v2-14B-Preview
Feature Extraction • 14B • Updated • 95 • 2
codefuse-ai/F2LLM-v2-8B-Preview
Feature Extraction • 8B • Updated • 125 • 3
codefuse-ai/F2LLM-v2-4B-Preview
Feature Extraction • 4B • Updated • 94 • 2
codefuse-ai/F2LLM-v2-1.7B-Preview
Feature Extraction • 2B • Updated • 453 • 2
codefuse-ai/F2LLM-v2-0.6B-Preview
Feature Extraction • 0.6B • Updated • 132 • 3
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