Mistral 7B 03 Sentiment May 23 2024 2epoch by seandearnaley

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Mistral 7B 03 Sentiment May 23 2024 2epoch 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 03 Sentiment May 23 2024 2epoch (seandearnaley/mistral-7b-03-sentiment-may-23-2024-2epoch)
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Mistral 7B 03 Sentiment May 23 2024 2epoch Parameters and Internals

Model Type 
text-generation-inference
Use Cases 
Applications:
Elevating Sentiment Analysis
Primary Use Cases:
Perform sentiment analysis on text related to potential future stock value
Additional Notes 
The model is developed to support sentiment analysis for stock value prediction.
Training Details 
Methodology:
Trained using Unsloth and Huggingface's TRL library
Context Length:
8192
LLM NameMistral 7B 03 Sentiment May 23 2024 2epoch
Repository ๐Ÿค—https://huggingface.co/seandearnaley/mistral-7b-03-sentiment-may-23-2024-2epoch 
Base Model(s)  unsloth/mistral-7b-v0.3   unsloth/mistral-7b-v0.3
Model Size7b
Required VRAM14.5 GB
Updated2025-09-10
Maintainerseandearnaley
Model Typemistral
Model Files  14.5 GB   4.4 GB   5.1 GB   7.7 GB   5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length32768
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]

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Note: green Score (e.g. "73.2") means that the model is better than seandearnaley/mistral-7b-03-sentiment-may-23-2024-2epoch.

Rank the Mistral 7B 03 Sentiment May 23 2024 2epoch 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