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XLAM 8x7b R by Salesforce

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

XLAM 8x7b R Benchmarks

LLME Score: 0.28213
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 Parameters and Internals

LLM NameXLAM 8x7b R
Repository 🤗https://huggingface.co/Salesforce/xLAM-8x7b-r 
Model Size46.7b
Required VRAM93.6 GB
Updated2024-09-16
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
XLAM 8x7b R (Salesforce/xLAM-8x7b-r)

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

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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