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Llama XLAM 2 70B Fc R by Salesforce

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Llama XLAM 2 70B Fc R is an open-source language model by Salesforce. Features: 70b LLM, VRAM: 141.9GB, Context: 128K, License: cc-by-nc-4.0, LLM Explorer Score: 0.22.

  Arxiv:2402.15506   Arxiv:2409.03215   Arxiv:2503.22673   Arxiv:2504.03601   Conversational Dataset:salesforce/apigen-mt-5... Dataset:salesforce/xlam-functi...   Deploy:azure   En   Endpoints compatible   Function-calling   Llama   Llama-factory   Llm agent   Pytorch   Qwen   Region:us   Safetensors   Sharded   Tensorflow   Tool-use
Model Card on HF 🤗: https://huggingface.co/Salesforce/Llama-xLAM-2-70b-fc-r 

Llama XLAM 2 70B Fc R Benchmarks

LLME Score: 0.22139
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama XLAM 2 70B Fc R (Salesforce/Llama-xLAM-2-70b-fc-r)
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Llama XLAM 2 70B Fc R Parameters and Internals

LLM NameLlama XLAM 2 70B Fc R
Repository 🤗https://huggingface.co/Salesforce/Llama-xLAM-2-70b-fc-r 
Model Size70b
Required VRAM141.9 GB
Updated2026-04-12
MaintainerSalesforce
Model Typellama
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Llama XLAM 2 70B Fc 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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