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F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper • 2510.02294 • Published • 46 -
codefuse-ai/F2LLM-v2-14B-Preview
Feature Extraction • 14B • Updated • 2 -
codefuse-ai/F2LLM-v2-8B-Preview
Feature Extraction • 8B • Updated • 77 • 3 -
codefuse-ai/F2LLM-v2-4B-Preview
Feature Extraction • 4B • Updated • 13 • 2
CodeFuse AI
community
AI & ML interests
None defined yet.
Recent Activity
Papers
C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
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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C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Paper • 2512.21332 • Published • 16 -
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper • 2510.02294 • Published • 46 -
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
Paper • 2409.06679 • Published • 4
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F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper • 2510.02294 • Published • 46 -
codefuse-ai/F2LLM-v2-14B-Preview
Feature Extraction • 14B • Updated • 2 -
codefuse-ai/F2LLM-v2-8B-Preview
Feature Extraction • 8B • Updated • 77 • 3 -
codefuse-ai/F2LLM-v2-4B-Preview
Feature Extraction • 4B • Updated • 13 • 2
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C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Paper • 2512.21332 • Published • 16 -
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper • 2510.02294 • Published • 46 -
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
Paper • 2409.06679 • Published • 4
models 33
codefuse-ai/F2LLM-v2-14B-Preview
Feature Extraction • 14B • Updated
• 2
codefuse-ai/F2LLM-v2-8B-Preview
Feature Extraction • 8B • Updated
• 77 • 3
codefuse-ai/F2LLM-v2-4B-Preview
Feature Extraction • 4B • Updated
• 13 • 2
codefuse-ai/F2LLM-v2-1.7B-Preview
Feature Extraction • 2B • Updated
• 255 • 2
codefuse-ai/F2LLM-v2-0.6B-Preview
Feature Extraction • 0.6B • Updated
• 14 • 3
codefuse-ai/OpAgent-32B
Image-Text-to-Text • 33B • Updated
• 12 • 1
codefuse-ai/CodeFuse-SVR-8B
9B • Updated
• 6
codefuse-ai/C2LLM-0.5B
Feature Extraction • 0.5B • Updated
• 641 • 9
codefuse-ai/C2LLM-7B
Feature Extraction • 8B • Updated
• 1.36k • 9
codefuse-ai/F2LLM-4B
Feature Extraction • 4B • Updated
• 707 • 12
datasets 8
codefuse-ai/F2LLM
Preview
• Updated
• 1.26k • 8
codefuse-ai/CodeFuse_codeedit
Viewer
• Updated
• 61 • 51 • 3
codefuse-ai/CodeGraph
Viewer
• Updated
• 275 • 9.06k • 5
codefuse-ai/Evol-instruction-66k
Updated
• 302 • 75
codefuse-ai/CodeExercise-Python-27k
Updated
• 1.24k • 67
codefuse-ai/GALLa
Viewer
• Updated
• 627k • 82 • 3
codefuse-ai/CodeFuse-DevOps-Eval
Preview
• Updated
• 88 • 20
codefuse-ai/CodeFuseEval
Updated
• 309 • 8