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F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper • 2510.02294 • Published • 47 -
codefuse-ai/F2LLM-v2-14B
Feature Extraction • 14B • Updated • 162 • 2 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 88 • 3 -
codefuse-ai/F2LLM-v2-4B
Feature Extraction • 4B • Updated • 55 • 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 • 17 -
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper • 2510.02294 • Published • 47 -
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 • 47 -
codefuse-ai/F2LLM-v2-14B
Feature Extraction • 14B • Updated • 162 • 2 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 88 • 3 -
codefuse-ai/F2LLM-v2-4B
Feature Extraction • 4B • Updated • 55 • 2
-
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 • 47 -
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
Paper • 2409.06679 • Published • 4
models 44
codefuse-ai/F2LLM-v2-330M
Feature Extraction • Updated
• 104 • 2
codefuse-ai/F2LLM-v2-160M
Feature Extraction • Updated
• 111 • 2
codefuse-ai/F2LLM-v2-0.6B-Preview-Pruned-330M
Updated
• 16
codefuse-ai/F2LLM-v2-0.6B-Preview-Pruned-160M
Updated
• 15
codefuse-ai/F2LLM-v2-80M
Feature Extraction • Updated
• 133 • 2
codefuse-ai/F2LLM-v2-0.6B-Preview-Pruned-80M
Updated
• 15
codefuse-ai/F2LLM-v2-14B
Feature Extraction • 14B • Updated
• 162 • 2
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated
• 88 • 3
codefuse-ai/F2LLM-v2-4B
Feature Extraction • 4B • Updated
• 55 • 2
codefuse-ai/F2LLM-v2-1.7B
Feature Extraction • Updated
• 113 • 3
datasets 9
codefuse-ai/F2LLM-v2
Viewer
• Updated
• 29.8M • 11 • 1
codefuse-ai/F2LLM
Preview
• Updated
• 2.02k • 8
codefuse-ai/CodeFuse_codeedit
Viewer
• Updated
• 61 • 47 • 3
codefuse-ai/CodeGraph
Viewer
• Updated
• 275 • 290 • 5
codefuse-ai/Evol-instruction-66k
Updated
• 290 • 75
codefuse-ai/CodeExercise-Python-27k
Updated
• 1.02k • 67
codefuse-ai/GALLa
Viewer
• Updated
• 627k • 114 • 3
codefuse-ai/CodeFuse-DevOps-Eval
Preview
• Updated
• 101 • 20
codefuse-ai/CodeFuseEval
Updated
• 319 • 8