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F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper β’ 2510.02294 β’ Published β’ 47 -
codefuse-ai/F2LLM-v2-14B
Feature Extraction β’ 14B β’ Updated β’ 179 β’ 2 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction β’ 8B β’ Updated β’ 95 β’ 3 -
codefuse-ai/F2LLM-v2-4B
Feature Extraction β’ 4B β’ Updated β’ 55 β’ 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 β’ 2512.21332 β’ Published β’ 17 -
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper β’ 2510.02294 β’ Published β’ 47 -
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
Paper β’ 2409.06679 β’ Published β’ 4
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F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper β’ 2510.02294 β’ Published β’ 47 -
codefuse-ai/F2LLM-v2-14B
Feature Extraction β’ 14B β’ Updated β’ 179 β’ 2 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction β’ 8B β’ Updated β’ 95 β’ 3 -
codefuse-ai/F2LLM-v2-4B
Feature Extraction β’ 4B β’ Updated β’ 55 β’ 2
-
C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Paper β’ 2512.21332 β’ Published β’ 17 -
F2LLM Technical Report: Matching SOTA Embedding Performance with 6 Million Open-Source Data
Paper β’ 2510.02294 β’ Published β’ 47 -
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
Paper β’ 2409.06679 β’ Published β’ 4
models 44
codefuse-ai/F2LLM-v2-330M
Feature Extraction β’ Updated
β’ 104 β’ 2
codefuse-ai/F2LLM-v2-160M
Feature Extraction β’ Updated
β’ 111 β’ 2
codefuse-ai/F2LLM-v2-0.6B-Preview-Pruned-330M
Updated
β’ 16
codefuse-ai/F2LLM-v2-0.6B-Preview-Pruned-160M
Updated
β’ 15
codefuse-ai/F2LLM-v2-80M
Feature Extraction β’ Updated
β’ 134 β’ 2
codefuse-ai/F2LLM-v2-0.6B-Preview-Pruned-80M
Updated
β’ 15
codefuse-ai/F2LLM-v2-14B
Feature Extraction β’ 14B β’ Updated
β’ 179 β’ 2
codefuse-ai/F2LLM-v2-8B
Feature Extraction β’ 8B β’ Updated
β’ 95 β’ 3
codefuse-ai/F2LLM-v2-4B
Feature Extraction β’ 4B β’ Updated
β’ 55 β’ 2
codefuse-ai/F2LLM-v2-1.7B
Feature Extraction β’ Updated
β’ 120 β’ 3
datasets 9
codefuse-ai/F2LLM-v2
Viewer
β’ Updated
β’ 29.8M β’ 61 β’ 1
codefuse-ai/F2LLM
Preview
β’ Updated
β’ 2.05k β’ 8
codefuse-ai/CodeFuse_codeedit
Viewer
β’ Updated
β’ 61 β’ 45 β’ 3
codefuse-ai/CodeGraph
Viewer
β’ Updated
β’ 275 β’ 273 β’ 5
codefuse-ai/Evol-instruction-66k
Updated
β’ 298 β’ 75
codefuse-ai/CodeExercise-Python-27k
Updated
β’ 1.01k β’ 67
codefuse-ai/GALLa
Viewer
β’ Updated
β’ 627k β’ 116 β’ 3
codefuse-ai/CodeFuse-DevOps-Eval
Preview
β’ Updated
β’ 103 β’ 20
codefuse-ai/CodeFuseEval
Updated
β’ 316 β’ 8