Mistral 7B Instruct V0.2 Seqlen 2048 Bs 1 Cores 2 by aws-neuron

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  Autotrain compatible   Conversational   En   Inferentia2   Instruct   Mistral   Neuron   Pytorch   Region:us

Mistral 7B Instruct V0.2 Seqlen 2048 Bs 1 Cores 2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.2 Seqlen 2048 Bs 1 Cores 2 (aws-neuron/Mistral-7B-Instruct-v0.2-seqlen-2048-bs-1-cores-2)
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Mistral 7B Instruct V0.2 Seqlen 2048 Bs 1 Cores 2 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Cloud Computing Applications
Applications:
Text Generation, AI Research
Primary Use Cases:
Interactive Dialogues, Cloud Service Explanation
Limitations:
Requires specific AWS instance types, Configuration adjustments required for optimal performance
Considerations:
Designed for specific hardware compatibility.
Additional Notes 
Compiled for AWS Inferentia2 and requires 'neuronx' compatible environment.
Supported Languages 
en (High proficiency)
Input Output 
Input Format:
text input with instruction
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Adjust `sliding_window` in `config.json` to 4096, use appropriate `num_cores` to improve compilation efficiency.
LLM NameMistral 7B Instruct V0.2 Seqlen 2048 Bs 1 Cores 2
Repository ๐Ÿค—https://huggingface.co/aws-neuron/Mistral-7B-Instruct-v0.2-seqlen-2048-bs-1-cores-2 
Model Size7b
Updated2025-09-23
Maintaineraws-neuron
Model Typemistral
Instruction-BasedYes
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
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 aws-neuron/Mistral-7B-Instruct-v0.2-seqlen-2048-bs-1-cores-2.

Rank the Mistral 7B Instruct V0.2 Seqlen 2048 Bs 1 Cores 2 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 v20241124