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C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Paper • 2512.21332 • Published • 16 -
codefuse-ai/C2LLM-7B
Feature Extraction • 8B • Updated • 277 • 9 -
codefuse-ai/C2LLM-0.5B
Feature Extraction • 0.5B • Updated • 271 • 8 -
codefuse-ai/F2LLM-0.6B
Feature Extraction • 0.6B • Updated • 377 • 12
CodeFuse AI
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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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MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Paper • 2311.02303 • Published • 12 -
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
Paper • 2310.06266 • Published • 2 -
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
Paper • 2410.06741 • Published • 3 -
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM
Paper • 2503.17793 • Published • 23
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C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Paper • 2512.21332 • Published • 16 -
codefuse-ai/C2LLM-7B
Feature Extraction • 8B • Updated • 277 • 9 -
codefuse-ai/C2LLM-0.5B
Feature Extraction • 0.5B • Updated • 271 • 8 -
codefuse-ai/F2LLM-0.6B
Feature Extraction • 0.6B • Updated • 377 • 12
-
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Paper • 2311.02303 • Published • 12 -
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
Paper • 2310.06266 • Published • 2 -
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
Paper • 2410.06741 • Published • 3 -
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM
Paper • 2503.17793 • Published • 23
models
31
codefuse-ai/OAgent
Updated
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1
codefuse-ai/F2LLM-v2-4B-Preview
Feature Extraction
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4B
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Updated
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1
codefuse-ai/F2LLM-v2-0.6B-Preview
Feature Extraction
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0.6B
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Updated
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1
codefuse-ai/F2LLM-v2-1.7B-Preview
Feature Extraction
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2B
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Updated
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6
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2
codefuse-ai/F2LLM-v2-8B-Preview
Feature Extraction
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8B
•
Updated
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15
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3
codefuse-ai/C2LLM-0.5B
Feature Extraction
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0.5B
•
Updated
•
271
•
8
codefuse-ai/C2LLM-7B
Feature Extraction
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8B
•
Updated
•
277
•
9
codefuse-ai/F2LLM-4B
Feature Extraction
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4B
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Updated
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483
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11
codefuse-ai/F2LLM-1.7B
Feature Extraction
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2B
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Updated
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85
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7
codefuse-ai/F2LLM-0.6B
Feature Extraction
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0.6B
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Updated
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377
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12
datasets
8
codefuse-ai/F2LLM
Preview
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Updated
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1.49k
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7
codefuse-ai/CodeFuse_codeedit
Viewer
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Updated
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61
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70
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3
codefuse-ai/CodeGraph
Viewer
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Updated
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275
•
448
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5
codefuse-ai/Evol-instruction-66k
Updated
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259
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74
codefuse-ai/CodeExercise-Python-27k
Updated
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548
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67
codefuse-ai/GALLa
Viewer
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Updated
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627k
•
102
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3
codefuse-ai/CodeFuse-DevOps-Eval
Preview
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Updated
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73
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20
codefuse-ai/CodeFuseEval
Updated
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206
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8