Mistral T5 7B V1 by ignos

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  Autotrain compatible   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded
Model Card on HF ๐Ÿค—: https://huggingface.co/ignos/Mistral-T5-7B-v1 

Mistral T5 7B V1 Benchmarks

Mistral T5 7B V1 (ignos/Mistral-T5-7B-v1)
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Mistral T5 7B V1 Parameters and Internals

Model Type 
Mistral
Use Cases 
Primary Use Cases:
Model created to improve instructional behavior
Limitations:
The same bias, risks and limitations from base models
Training Details 
Data Sources:
tatsu-lab/alpaca
Methodology:
Training with QLoRA approach and merging with base model
Hardware Used:
3 x RTX 4090, 48 vCPU 377 GB RAM
Model Architecture:
Mistral Architecture
LLM NameMistral T5 7B V1
Repository ๐Ÿค—https://huggingface.co/ignos/Mistral-T5-7B-v1 
Model Size7b
Required VRAM14.4 GB
Updated2025-10-05
Maintainerignos
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ignos/Mistral-T5-7B-v1.

Rank the Mistral T5 7B V1 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