Xgen 7B 8K Inst by Salesforce

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  Arxiv:2309.03450   Autotrain compatible   Endpoints compatible   Ext 8k   Llama   Pytorch   Region:us   Sharded

Xgen 7B 8K Inst Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Xgen 7B 8K Inst (Salesforce/xgen-7b-8k-inst)

Xgen 7B 8K Inst Parameters and Internals

Model Type 
Auto-regressive sampler, Text generation
Training Details 
Methodology:
Supervised fine-tuning on public domain instructional data.
Input Output 
Input Format:
The model expects inputs to be tokenized with OpenAI Tiktoken library.
Accepted Modalities:
text
Output Format:
Generates text responses.
LLM NameXgen 7B 8K Inst
Repository ๐Ÿค—https://huggingface.co/Salesforce/xgen-7b-8k-inst 
Model Size7b
Required VRAM27.6 GB
Updated2025-02-09
MaintainerSalesforce
Model Typellama
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   7.7 GB: 3-of-3
Context Length8k
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.29.2
Tokenizer ClassXgenTokenizer
Vocabulary Size51200
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than Salesforce/xgen-7b-8k-inst.

Rank the Xgen 7B 8K Inst Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227