AptimizeAI Mistral 7B HPP1 by RTTP

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  4-bit   Autotrain compatible   Bitsandbytes   En   Endpoints compatible   Mistral   Region:us   Safetensors

AptimizeAI Mistral 7B HPP1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
AptimizeAI Mistral 7B HPP1 (RTTP/AptimizeAI-Mistral-7b-HPP1)

AptimizeAI Mistral 7B HPP1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Limitations:
The model was trained in just a few hours with mostly default parameters. It can be further optimized., The model may not give relevant answers when presented with compound questions., May repeat or ask extra questions, or produce irrelevant or extra text and responses.
Supported Languages 
en ()
Training Details 
Data Sources:
Hypophosphatasia PubMed Text Records
Training Time:
trained in just a few hours
LLM NameAptimizeAI Mistral 7B HPP1
Repository ๐Ÿค—https://huggingface.co/RTTP/AptimizeAI-Mistral-7b-HPP1 
Model Size7b
Required VRAM4.7 GB
Updated2025-02-22
MaintainerRTTP
Model Typemistral
Model Files  4.7 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than RTTP/AptimizeAI-Mistral-7b-HPP1.

Rank the AptimizeAI Mistral 7B HPP1 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