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F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
Paper • 2603.19223 • Published • 39 -
codefuse-ai/F2LLM-v2-14B
Feature Extraction • 14B • Updated • 2.16k • 23 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 1.23k • 12 -
codefuse-ai/F2LLM-v2-4B
Feature Extraction • 4B • Updated • 2.45k • 12
CodeFuse AI
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Papers
From Fragmentation to Fusion: A Survey and Roadmap for Omnimodal Embeddings
ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World
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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From Fragmentation to Fusion: A Survey and Roadmap for Omnimodal Embeddings
Paper • 2611.00172 • Published • 20 -
Beyond Retrieval: A Multitask Benchmark and Model for Code Search
Paper • 2605.04615 • Published • 23 -
ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World
Paper • 2605.15081 • Published • 11
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F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World
Paper • 2603.19223 • Published • 39 -
codefuse-ai/F2LLM-v2-14B
Feature Extraction • 14B • Updated • 2.16k • 23 -
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 1.23k • 12 -
codefuse-ai/F2LLM-v2-4B
Feature Extraction • 4B • Updated • 2.45k • 12
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From Fragmentation to Fusion: A Survey and Roadmap for Omnimodal Embeddings
Paper • 2611.00172 • Published • 20 -
Beyond Retrieval: A Multitask Benchmark and Model for Code Search
Paper • 2605.04615 • Published • 23 -
ML-Embed: Inclusive and Efficient Embeddings for a Multilingual World
Paper • 2605.15081 • Published • 11
models 49
codefuse-ai/F2LLM-v2-80M
Feature Extraction • 80.1M • Updated • 22.4k • • 20
codefuse-ai/F2LLM-v2-160M
Feature Extraction • 0.2B • Updated • 1.25k • • 7
codefuse-ai/F2LLM-v2-330M
Feature Extraction • 0.3B • Updated • 2.76k • • 12
codefuse-ai/F2LLM-v2-0.6B
Feature Extraction • 0.6B • Updated • 14.4k • • 22
codefuse-ai/F2LLM-v2-1.7B
Feature Extraction • 2B • Updated • 5.92k • 12
codefuse-ai/F2LLM-v2-4B
Feature Extraction • 4B • Updated • 2.45k • 12
codefuse-ai/F2LLM-v2-8B
Feature Extraction • 8B • Updated • 1.23k • 12
codefuse-ai/F2LLM-v2-14B
Feature Extraction • 14B • Updated • 2.16k • 23
codefuse-ai/CodeFuse-SVR-8B
Image-Text-to-Text • 9B • Updated • 30 • 1
codefuse-ai/SOLAR
Feature Extraction • Updated
datasets 9
codefuse-ai/F2LLM-v2
Viewer • Updated • 60.1M • 1.55k • 10
codefuse-ai/F2LLM
Preview • Updated • 1.49k • 10
codefuse-ai/CodeFuse_codeedit
Viewer • Updated • 61 • 55 • 3
codefuse-ai/CodeGraph
Viewer • Updated • 275 • 627 • 5
codefuse-ai/Evol-instruction-66k
Updated • 283 • 75
codefuse-ai/CodeExercise-Python-27k
Updated • 1.09k • 67
codefuse-ai/GALLa
Viewer • Updated • 627k • 88 • 3
codefuse-ai/CodeFuse-DevOps-Eval
Preview • Updated • 138 • 19
codefuse-ai/CodeFuseEval
Updated • 520 • 8