AgentEvol 7B by AgentGym

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  Arxiv:2406.04151   Autotrain compatible   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/AgentGym/AgentEvol-7B 

AgentEvol 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AgentEvol 7B (AgentGym/AgentEvol-7B)

AgentEvol 7B Parameters and Internals

Model Type 
text generation, multimodal
Use Cases 
Areas:
research, commercial applications
Applications:
LLM-based agents in diverse environments
Primary Use Cases:
generally-capable agent evolution, behavioral cloning
Training Details 
Data Sources:
AgentTraj set
Methodology:
Behavioral cloning followed by exploration and learning from a broader set of instructions.
Model Architecture:
Trained using the AgentEvol algorithm.
LLM NameAgentEvol 7B
Repository ๐Ÿค—https://huggingface.co/AgentGym/AgentEvol-7B 
Model Size7b
Required VRAM13.5 GB
Updated2025-06-01
MaintainerAgentGym
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than AgentGym/AgentEvol-7B.

Rank the AgentEvol 7B Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227