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Quintessence Finetune Trading by HeinzFelipe2

 »  All LLMs  »  HeinzFelipe2  »  Quintessence Finetune Trading   URL Share it on

  10   
  Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/HeinzFelipe2/Quintessence-Finetune_Trading 

Quintessence Finetune Trading Benchmarks

LLME Score: 0.19512
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Quintessence Finetune Trading (HeinzFelipe2/Quintessence-Finetune_Trading)

Quintessence Finetune Trading Parameters and Internals

LLM NameQuintessence Finetune Trading
Repository 🤗https://huggingface.co/HeinzFelipe2/Quintessence-Finetune_Trading 
Model Size7b
Required VRAM28.4 GB
Updated2025-02-22
MaintainerHeinzFelipe2
Model Typemistral
Instruction-BasedYes
Model Files  4.8 GB: 1-of-6   4.8 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.0 GB: 6-of-6
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than HeinzFelipe2/Quintessence-Finetune_Trading.

Rank the Quintessence Finetune Trading 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
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