Open Llama 7B Open Instruct by VMware

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  Autotrain compatible Dataset:vmware/open-instruct-v...   En   Endpoints compatible   Instruct   Llama   Pytorch   Region:us   Safetensors   Sharded   Tensorflow

Open Llama 7B Open Instruct Benchmarks

Open Llama 7B Open Instruct (VMware/open-llama-7b-open-instruct)

Open Llama 7B Open Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Commercial use
Supported Languages 
en (high)
Training Details 
Data Sources:
VMware/open-instruct-v1-oasst-dolly-hhrlhf
Methodology:
Fine-tuned using the Alpaca prompt template
Input Output 
Input Format:
Custom instruction templates
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Use `use_fast=False` when instantiating tokenizer for correct tokenization.
LLM NameOpen Llama 7B Open Instruct
Repository ๐Ÿค—https://huggingface.co/VMware/open-llama-7b-open-instruct 
Model Size7b
Required VRAM13.5 GB
Updated2025-03-24
MaintainerVMware
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2   10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-sa-3.0
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Open Llama 7B Open Instruct

Model
Likes
Downloads
VRAM
...Llama 7B V2 Open Instruct GPTQ21094 GB
...en Llama 7B Open Instruct GPTQ6133 GB

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Note: green Score (e.g. "73.2") means that the model is better than VMware/open-llama-7b-open-instruct.

Rank the Open Llama 7B Open Instruct Capabilities

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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