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F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
Paper β’ 2603.19223 β’ Published β’ 39 -
codefuse-ai/F2LLM-v2-14B
Feature Extraction β’ 14B β’ Updated β’ 23.2k β’ 20 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction β’ 8B β’ Updated β’ 1.98k β’ 8 -
codefuse-ai/F2LLM-v2-4B
Feature Extraction β’ 4B β’ Updated β’ 2.73k β’ 5
CodeFuse AI
community
AI & ML interests
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Recent Activity
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Papers
ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World
TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale
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MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Paper β’ 2311.02303 β’ Published β’ 12 -
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
Paper β’ 2310.06266 β’ Published β’ 2 -
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
Paper β’ 2410.06741 β’ Published β’ 3 -
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM
Paper β’ 2503.17793 β’ Published β’ 24
Rodimus models developed by CodeFuse team
Native models by CodeFuse Team
This is a collection of the Ling-Coder Lite open-source models and datasets.
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inclusionAI/Ling-Coder-lite
Text Generation β’ 17B β’ Updated β’ 102 β’ 53 -
inclusionAI/Ling-Coder-lite-base
Text Generation β’ 17B β’ Updated β’ 55 β’ 27 -
inclusionAI/Ling-Coder-SFT
Viewer β’ Updated β’ 4.48M β’ 1.16k β’ 45 -
inclusionAI/Ling-Coder-DPO
Viewer β’ Updated β’ 253k β’ 91 β’ 16
code LLMs with extra training on 3rd party models
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codefuse-ai/CodeFuse-CodeLlama-34B
Text Generation β’ 34B β’ Updated β’ 23 β’ 93 -
codefuse-ai/CodeFuse-DeepSeek-33B
Text Generation β’ 33B β’ Updated β’ 174 β’ 61 -
codefuse-ai/CodeFuse-DeepSeek-33B-4bits
Text Generation β’ Updated β’ 8 β’ 10 -
codefuse-ai/CodeFuse-CodeLlama-34B-4bits
Text Generation β’ Updated β’ 16 β’ 26
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F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
Paper β’ 2603.19223 β’ Published β’ 39 -
codefuse-ai/F2LLM-v2-14B
Feature Extraction β’ 14B β’ Updated β’ 23.2k β’ 20 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction β’ 8B β’ Updated β’ 1.98k β’ 8 -
codefuse-ai/F2LLM-v2-4B
Feature Extraction β’ 4B β’ Updated β’ 2.73k β’ 5
-
MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Paper β’ 2311.02303 β’ Published β’ 12 -
CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
Paper β’ 2310.06266 β’ Published β’ 2 -
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
Paper β’ 2410.06741 β’ Published β’ 3 -
Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM
Paper β’ 2503.17793 β’ Published β’ 24
This is a collection of the Ling-Coder Lite open-source models and datasets.
-
inclusionAI/Ling-Coder-lite
Text Generation β’ 17B β’ Updated β’ 102 β’ 53 -
inclusionAI/Ling-Coder-lite-base
Text Generation β’ 17B β’ Updated β’ 55 β’ 27 -
inclusionAI/Ling-Coder-SFT
Viewer β’ Updated β’ 4.48M β’ 1.16k β’ 45 -
inclusionAI/Ling-Coder-DPO
Viewer β’ Updated β’ 253k β’ 91 β’ 16
Rodimus models developed by CodeFuse team
code LLMs with extra training on 3rd party models
-
codefuse-ai/CodeFuse-CodeLlama-34B
Text Generation β’ 34B β’ Updated β’ 23 β’ 93 -
codefuse-ai/CodeFuse-DeepSeek-33B
Text Generation β’ 33B β’ Updated β’ 174 β’ 61 -
codefuse-ai/CodeFuse-DeepSeek-33B-4bits
Text Generation β’ Updated β’ 8 β’ 10 -
codefuse-ai/CodeFuse-CodeLlama-34B-4bits
Text Generation β’ Updated β’ 16 β’ 26
Native models by CodeFuse Team