-
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 • 200 • 2 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 96 • 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;
-
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
-
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 • 200 • 2 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 96 • 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 • 17
codefuse-ai/F2LLM-v2-0.6B-Preview-Pruned-160M
Updated • 16
codefuse-ai/F2LLM-v2-80M
Feature Extraction • Updated • 137 • 2
codefuse-ai/F2LLM-v2-0.6B-Preview-Pruned-80M
Updated • 15
codefuse-ai/F2LLM-v2-14B
Feature Extraction • 14B • Updated • 200 • 2
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 96 • 3
codefuse-ai/F2LLM-v2-4B
Feature Extraction • 4B • Updated • 55 • 2
codefuse-ai/F2LLM-v2-1.7B
Feature Extraction • Updated • 121 • 3
datasets 9
codefuse-ai/F2LLM-v2
Viewer • Updated • 29.8M • 122 • 1
codefuse-ai/F2LLM
Preview • Updated • 2.18k • 8
codefuse-ai/CodeFuse_codeedit
Viewer • Updated • 61 • 46 • 3
codefuse-ai/CodeGraph
Viewer • Updated • 275 • 292 • 5
codefuse-ai/Evol-instruction-66k
Updated • 290 • 75
codefuse-ai/CodeExercise-Python-27k
Updated • 972 • 67
codefuse-ai/GALLa
Viewer • Updated • 627k • 124 • 3
codefuse-ai/CodeFuse-DevOps-Eval
Preview • Updated • 106 • 20
codefuse-ai/CodeFuseEval
Updated • 298 • 8