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XLAM 8x22b R by Salesforce

 »  All LLMs  »  Salesforce  »  XLAM 8x22b R   URL Share it on

  87   
  Arxiv:2402.15506   Arxiv:2406.18518   Arxiv:2409.03215   Arxiv:2503.22673   Autotrain compatible   Conversational Dataset:salesforce/xlam-functi...   En   Endpoints compatible   Function-calling   Llm agent   Mistral   Mixtral   Moe   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Tool-use
Model Card on HF 🤗: https://huggingface.co/Salesforce/xLAM-8x22b-r 

XLAM 8x22b R Benchmarks

LLME Score: 0.21283
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
XLAM 8x22b R (Salesforce/xLAM-8x22b-r)

XLAM 8x22b R Parameters and Internals

Model Type 
text generation
Additional Notes 
The model series includes models optimized for function-calling and general agent applications, with plans to release an enhanced version exclusively on Salesforce's platform.
Supported Languages 
en (expert)
Input Output 
Performance Tips:
Model works best with our provided prompt format.
LLM NameXLAM 8x22b R
Repository 🤗https://huggingface.co/Salesforce/xLAM-8x22b-r 
Model Size140.6b
Required VRAM211.8 GB
Updated2025-04-15
MaintainerSalesforce
Model Typemixtral
Model Files  4.8 GB: 1-of-59   4.8 GB: 2-of-59   4.8 GB: 3-of-59   4.8 GB: 4-of-59   4.8 GB: 5-of-59   4.8 GB: 6-of-59   4.8 GB: 7-of-59   4.8 GB: 8-of-59   4.8 GB: 9-of-59   4.8 GB: 10-of-59   4.8 GB: 11-of-59   4.8 GB: 12-of-59   4.8 GB: 13-of-59   4.8 GB: 14-of-59   4.8 GB: 15-of-59   4.8 GB: 16-of-59   4.8 GB: 17-of-59   4.8 GB: 18-of-59   4.8 GB: 19-of-59   4.8 GB: 20-of-59   4.8 GB: 21-of-59   4.8 GB: 22-of-59   4.9 GB: 23-of-59   5.0 GB: 24-of-59   5.0 GB: 25-of-59   4.9 GB: 26-of-59   4.8 GB: 27-of-59   4.8 GB: 28-of-59   4.8 GB: 29-of-59   4.8 GB: 30-of-59   4.8 GB: 31-of-59   4.8 GB: 32-of-59   4.8 GB: 33-of-59   4.8 GB: 34-of-59   4.8 GB: 35-of-59   4.8 GB: 36-of-59   4.8 GB: 37-of-59   4.8 GB: 38-of-59   4.8 GB: 39-of-59   4.8 GB: 40-of-59   4.8 GB: 41-of-59   4.8 GB: 42-of-59   4.8 GB: 43-of-59   4.8 GB: 44-of-59
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length65536
Model Max Length65536
Transformers Version4.42.3
Vocabulary Size32768
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Salesforce/xLAM-8x22b-r.

Rank the XLAM 8x22b R Capabilities

🆘 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! 🌟

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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Release v20241227
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