-
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 • 91 • 4 -
codefuse-ai/C2LLM-0.5B
Feature Extraction • 0.5B • Updated • 72 • 5 -
codefuse-ai/F2LLM-0.6B
Feature Extraction • 0.6B • Updated • 229 • 11
CodeFuse AI
community
AI & ML interests
None defined yet.
Recent Activity
View all 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.
-
inclusionAI/Ling-Coder-lite
Text Generation • 17B • Updated • 147 • 50 -
inclusionAI/Ling-Coder-lite-base
Text Generation • 17B • Updated • 123 • 26 -
inclusionAI/Ling-Coder-SFT
Viewer • Updated • 4.48M • 1.78k • 33 -
inclusionAI/Ling-Coder-DPO
Viewer • Updated • 253k • 96 • 8
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 • 130 • 62 -
codefuse-ai/CodeFuse-DeepSeek-33B-4bits
Text Generation • Updated • 24 • 10 -
codefuse-ai/CodeFuse-CodeLlama-34B-4bits
Text Generation • Updated • 27 • 27
-
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
-
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 • 91 • 4 -
codefuse-ai/C2LLM-0.5B
Feature Extraction • 0.5B • Updated • 72 • 5 -
codefuse-ai/F2LLM-0.6B
Feature Extraction • 0.6B • Updated • 229 • 11
-
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 • 147 • 50 -
inclusionAI/Ling-Coder-lite-base
Text Generation • 17B • Updated • 123 • 26 -
inclusionAI/Ling-Coder-SFT
Viewer • Updated • 4.48M • 1.78k • 33 -
inclusionAI/Ling-Coder-DPO
Viewer • Updated • 253k • 96 • 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 • 130 • 62 -
codefuse-ai/CodeFuse-DeepSeek-33B-4bits
Text Generation • Updated • 24 • 10 -
codefuse-ai/CodeFuse-CodeLlama-34B-4bits
Text Generation • Updated • 27 • 27
Native models by CodeFuse Team