C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Paper
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2512.21332
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Published
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13
Codefuse Embeddings
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codefuse-ai/C2LLM-7B
Feature Extraction • 8B • Updated • 98 • 5 -
codefuse-ai/C2LLM-0.5B
Feature Extraction • 0.5B • Updated • 84 • 5 -
codefuse-ai/F2LLM-0.6B
Feature Extraction • 0.6B • Updated • 199 • 11 -
codefuse-ai/F2LLM-1.7B
Feature Extraction • 2B • Updated • 186 • 7 -
codefuse-ai/F2LLM-4B
Feature Extraction • 4B • Updated • 1.08k • 10 -
codefuse-ai/F2LLM
Preview • Updated • 1.55k • 7 -
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper • 2510.02294 • Published • 44 -
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search
Paper • 2406.17262 • Published • 5 -
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
Paper • 2409.06679 • Published • 4 -
codefuse-ai/CodeFuse-CGE-Small
4B • Updated • 59 • 2 -
codefuse-ai/CodeFuse-CGE-Large
7B • Updated • 26 • 3