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XLAM 7B R by Salesforce

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  Arxiv:2409.03215   Conversational Dataset:salesforce/xlam-functi...   En   Function-calling   Instruct   Llm agent   Mistral   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Tool-use

XLAM 7B R Benchmarks

LLME Score: 0.3118
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

XLAM 7B R Parameters and Internals

LLM NameXLAM 7B R
Repository 🤗https://huggingface.co/Salesforce/xLAM-7b-r 
Model Size7b
Required VRAM14.4 GB
Updated2024-09-16
MaintainerSalesforce
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typebfloat16
XLAM 7B R (Salesforce/xLAM-7b-r)

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Note: green Score (e.g. "73.2") means that the model is better than Salesforce/xLAM-7b-r.

Rank the XLAM 7B R 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 v2024072803
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