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XLAM V0.1 R by Salesforce

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XLAM V0.1 R is an open-source language model by Salesforce. Features: 46.7b LLM, VRAM: 93.6GB, Context: 32K, License: cc-by-nc-4.0, MoE, Instruction-Based, HF Score: 69.9, LLM Explorer Score: 0.15, Arc: 67.6, HellaSwag: 84.6, MMLU: 70, TruthfulQA: 57.8, WinoGrande: 81, GSM8K: 58.4.

  Arxiv:2402.15506   Arxiv:2406.18518   Arxiv:2409.03215   Conversational   Endpoints compatible   Instruct   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Salesforce/xLAM-v0.1-r 

XLAM V0.1 R Benchmarks

ARC: 67.58 vs 96.7 (so35)-30.1%
HellaSwag: 84.59 vs 95.3 (gpt4)-11.2%
MMLU: 69.95 vs 88.3 (so35)-20.8%
TruthfulQA: 57.77 vs 59 (gpt4)-2.1%
WinoGrande: 80.98 vs 87.5 (gpt4)-7.5%
GSM8K: 58.38 vs 96.4 (so35)-39.4%
LLME Score: 0.14934
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
XLAM V0.1 R (Salesforce/xLAM-v0.1-r)
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XLAM V0.1 R Parameters and Internals

Model Type 
Large Language Model, Action Model
Use Cases 
Applications:
Chatbot, Assistive Agent, Task Automation
Primary Use Cases:
Agent Tasks, Scenarios requiring large action modeling
Considerations:
Temperature tuning advised for different applications; formatting instructions needed for specific tasks.
Additional Notes 
Sample Python code provided for usage.
Training Details 
Methodology:
Fine-tuned across a wide range of agent tasks and scenarios.
Input Output 
Input Format:
JSON-formatted messages comprising 'role' and 'content'.
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Lower Temperature for deterministic outcomes; include formatting instructions for complex tasks.
LLM NameXLAM V0.1 R
Repository 🤗https://huggingface.co/Salesforce/xLAM-v0.1-r 
Model Size46.7b
Required VRAM93.6 GB
Updated2026-02-18
MaintainerSalesforce
Model Typemixtral
Instruction-BasedYes
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
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
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-v0.1-r.

Rank the XLAM V0.1 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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