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XLAM 8x7b R by Salesforce

 »  All LLMs  »  Salesforce  »  XLAM 8x7b R   URL Share it on

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  Arxiv:2402.15506   Arxiv:2406.18518   Arxiv:2409.03215   Conversational Dataset:salesforce/xlam-functi...   En   Function-calling   Llm agent   Mistral   Mixtral   Moe   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Tool-use
Model Card on HF 🤗: https://huggingface.co/Salesforce/xLAM-8x7b-r 

XLAM 8x7b R Benchmarks

LLME Score: 0.2256
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
XLAM 8x7b R (Salesforce/xLAM-8x7b-r)

XLAM 8x7b R Parameters and Internals

Model Type 
function-calling, LLM Agent, tool-use
Supported Languages 
en (unknown)
LLM NameXLAM 8x7b R
Repository 🤗https://huggingface.co/Salesforce/xLAM-8x7b-r 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-03-14
MaintainerSalesforce
Model Typemixtral
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesen
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Salesforce/xLAM-8x7b-r.

Rank the XLAM 8x7b R Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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