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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 • 270 • 9 -
codefuse-ai/C2LLM-0.5B
Feature Extraction • 0.5B • Updated • 263 • 8 -
codefuse-ai/F2LLM-0.6B
Feature Extraction • 0.6B • Updated • 526 • 12
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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
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 • 86 • 51 -
inclusionAI/Ling-Coder-lite-base
Text Generation • 17B • Updated • 100 • 26 -
inclusionAI/Ling-Coder-SFT
Viewer • Updated • 4.48M • 637 • 36 -
inclusionAI/Ling-Coder-DPO
Viewer • Updated • 253k • 57 • 8
code LLMs with extra training on 3rd party models
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codefuse-ai/CodeFuse-CodeLlama-34B
Text Generation • 34B • Updated • 136 • 93 -
codefuse-ai/CodeFuse-DeepSeek-33B
Text Generation • 33B • Updated • 75 • 62 -
codefuse-ai/CodeFuse-DeepSeek-33B-4bits
Text Generation • Updated • 6 • 10 -
codefuse-ai/CodeFuse-CodeLlama-34B-4bits
Text Generation • Updated • 11 • 26
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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 • 16 -
codefuse-ai/C2LLM-7B
Feature Extraction • 8B • Updated • 270 • 9 -
codefuse-ai/C2LLM-0.5B
Feature Extraction • 0.5B • Updated • 263 • 8 -
codefuse-ai/F2LLM-0.6B
Feature Extraction • 0.6B • Updated • 526 • 12
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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 • 86 • 51 -
inclusionAI/Ling-Coder-lite-base
Text Generation • 17B • Updated • 100 • 26 -
inclusionAI/Ling-Coder-SFT
Viewer • Updated • 4.48M • 637 • 36 -
inclusionAI/Ling-Coder-DPO
Viewer • Updated • 253k • 57 • 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 • 136 • 93 -
codefuse-ai/CodeFuse-DeepSeek-33B
Text Generation • 33B • Updated • 75 • 62 -
codefuse-ai/CodeFuse-DeepSeek-33B-4bits
Text Generation • Updated • 6 • 10 -
codefuse-ai/CodeFuse-CodeLlama-34B-4bits
Text Generation • Updated • 11 • 26
Native models by CodeFuse Team