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F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
Paper • 2603.19223 • Published • 21 -
codefuse-ai/F2LLM-v2-14B
Feature Extraction • 14B • Updated • 218 • 2 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 109 • 3 -
codefuse-ai/F2LLM-v2-4B
Feature Extraction • 4B • Updated • 96 • 2
CodeFuse AI
community
AI & ML interests
None defined yet.
Recent Activity
Papers
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
Organization Card
Hello World! This is CodeFuse!
CodeFuse aims to develop Code Large Language Models (Code LLMs) to support and enhance full-lifecycle AI native sotware developing, covering crucial stages such as design requirements, coding, testing, building, deployment, operations, and insight analysis;
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F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
Paper • 2603.19223 • Published • 21 -
C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Paper • 2512.21332 • Published • 17 -
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper • 2510.02294 • Published • 48
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F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
Paper • 2603.19223 • Published • 21 -
codefuse-ai/F2LLM-v2-14B
Feature Extraction • 14B • Updated • 218 • 2 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 109 • 3 -
codefuse-ai/F2LLM-v2-4B
Feature Extraction • 4B • Updated • 96 • 2
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F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
Paper • 2603.19223 • Published • 21 -
C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Paper • 2512.21332 • Published • 17 -
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper • 2510.02294 • Published • 48
models 44
codefuse-ai/F2LLM-v2-14B
Feature Extraction • 14B • Updated • 218 • 2
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 109 • 3
codefuse-ai/F2LLM-v2-4B
Feature Extraction • 4B • Updated • 96 • 2
codefuse-ai/F2LLM-v2-1.7B
Feature Extraction • Updated • 236 • 3
codefuse-ai/F2LLM-v2-0.6B
Feature Extraction • Updated • 177 • 2
codefuse-ai/F2LLM-v2-330M
Feature Extraction • Updated • 134 • 2
codefuse-ai/F2LLM-v2-160M
Feature Extraction • Updated • 163 • 2
codefuse-ai/F2LLM-v2-80M
Feature Extraction • Updated • 193 • 2
codefuse-ai/F2LLM-v2-14B-Preview
Feature Extraction • 14B • Updated • 94 • 2
codefuse-ai/F2LLM-v2-8B-Preview
Feature Extraction • 8B • Updated • 123 • 3
datasets 9
codefuse-ai/F2LLM-v2
Viewer • Updated • 53.3M • 181 • 1
codefuse-ai/F2LLM
Preview • Updated • 2.21k • 8
codefuse-ai/CodeFuse_codeedit
Viewer • Updated • 61 • 42 • 3
codefuse-ai/CodeGraph
Viewer • Updated • 275 • 307 • 5
codefuse-ai/Evol-instruction-66k
Updated • 243 • 75
codefuse-ai/CodeExercise-Python-27k
Updated • 820 • 67
codefuse-ai/GALLa
Viewer • Updated • 627k • 118 • 3
codefuse-ai/CodeFuse-DevOps-Eval
Preview • Updated • 100 • 20
codefuse-ai/CodeFuseEval
Updated • 284 • 8