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C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Paper • 2512.21332 • Published • 6 -
codefuse-ai/C2LLM-7B
Feature Extraction • 8B • Updated • 82 • 4 -
codefuse-ai/C2LLM-0.5B
Feature Extraction • 0.5B • Updated • 66 • 5 -
codefuse-ai/F2LLM-0.6B
Feature Extraction • 0.6B • Updated • 239 • 11
CodeFuse AI
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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
This is a collection of the Ling-Coder Lite open-source models and datasets.
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inclusionAI/Ling-Coder-lite
Text Generation • 17B • Updated • 152 • 50 -
inclusionAI/Ling-Coder-lite-base
Text Generation • 17B • Updated • 127 • 26 -
inclusionAI/Ling-Coder-SFT
Viewer • Updated • 4.48M • 1.76k • 33 -
inclusionAI/Ling-Coder-DPO
Viewer • Updated • 253k • 93 • 8
code LLMs with extra training on 3rd party models
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codefuse-ai/CodeFuse-CodeLlama-34B
Text Generation • 34B • Updated • 31 • 93 -
codefuse-ai/CodeFuse-DeepSeek-33B
Text Generation • 33B • Updated • 132 • 62 -
codefuse-ai/CodeFuse-DeepSeek-33B-4bits
Text Generation • Updated • 25 • 10 -
codefuse-ai/CodeFuse-CodeLlama-34B-4bits
Text Generation • Updated • 27 • 27
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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
Rodimus models developed by CodeFuse team
Native models by CodeFuse Team
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C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling
Paper • 2512.21332 • Published • 6 -
codefuse-ai/C2LLM-7B
Feature Extraction • 8B • Updated • 82 • 4 -
codefuse-ai/C2LLM-0.5B
Feature Extraction • 0.5B • Updated • 66 • 5 -
codefuse-ai/F2LLM-0.6B
Feature Extraction • 0.6B • Updated • 239 • 11
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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
This is a collection of the Ling-Coder Lite open-source models and datasets.
-
inclusionAI/Ling-Coder-lite
Text Generation • 17B • Updated • 152 • 50 -
inclusionAI/Ling-Coder-lite-base
Text Generation • 17B • Updated • 127 • 26 -
inclusionAI/Ling-Coder-SFT
Viewer • Updated • 4.48M • 1.76k • 33 -
inclusionAI/Ling-Coder-DPO
Viewer • Updated • 253k • 93 • 8
Rodimus models developed by CodeFuse team
code LLMs with extra training on 3rd party models
-
codefuse-ai/CodeFuse-CodeLlama-34B
Text Generation • 34B • Updated • 31 • 93 -
codefuse-ai/CodeFuse-DeepSeek-33B
Text Generation • 33B • Updated • 132 • 62 -
codefuse-ai/CodeFuse-DeepSeek-33B-4bits
Text Generation • Updated • 25 • 10 -
codefuse-ai/CodeFuse-CodeLlama-34B-4bits
Text Generation • Updated • 27 • 27
Native models by CodeFuse Team