XAgentLLaMa 34B Preview by XAgentTeam

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  Arxiv:2308.12950   Autotrain compatible   Code   Codegen   Endpoints compatible   Function calling   Instruct   Llama   Llama2   Pytorch   Region:us   Sharded

XAgentLLaMa 34B Preview Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
XAgentLLaMa 34B Preview (XAgentTeam/XAgentLLaMa-34B-preview)

XAgentLLaMa 34B Preview Parameters and Internals

Model Type 
text generation
Use Cases 
Limitations:
Use in languages other than English., Violations of applicable laws or regulations.
Additional Notes 
Warning: This is a preview version of the model, does not stand for final quality.
Training Details 
Data Volume:
300K pieces of data
Methodology:
fine-tuning
Hardware Used:
48 A100 GPUs
Model Architecture:
optimized transformer architecture
Responsible Ai Considerations 
Mitigation Strategies:
Perform safety testing and tuning tailored to specific applications before deployment.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Use with [XAgentGen](https://github.com/OpenBMB/XAgent/tree/dev/XAgentGen) for best performance.
LLM NameXAgentLLaMa 34B Preview
Repository ๐Ÿค—https://huggingface.co/XAgentTeam/XAgentLLaMa-34B-preview 
Model Size34b
Required VRAM157.3 GB
Updated2025-02-05
MaintainerXAgentTeam
Model Typellama
Instruction-BasedYes
Model Files  9.3 GB: 1-of-17   9.7 GB: 2-of-17   9.7 GB: 3-of-17   9.7 GB: 4-of-17   9.7 GB: 5-of-17   9.7 GB: 6-of-17   9.7 GB: 7-of-17   9.7 GB: 8-of-17   9.7 GB: 9-of-17   9.7 GB: 10-of-17   9.7 GB: 11-of-17   9.7 GB: 12-of-17   9.7 GB: 13-of-17   9.7 GB: 14-of-17   9.7 GB: 15-of-17   9.7 GB: 16-of-17   2.5 GB: 17-of-17
Supported Languagescode
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.28.0
Tokenizer ClassCodeLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than XAgentTeam/XAgentLLaMa-34B-preview.

Rank the XAgentLLaMa 34B Preview Capabilities

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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