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RakutenAI 7B Instruct Reward by ryota39

 »  All LLMs  »  ryota39  »  RakutenAI 7B Instruct Reward   URL Share it on

  13   
  Arxiv:2106.09685   Autotrain compatible   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ryota39/RakutenAI-7B-instruct-reward 

RakutenAI 7B Instruct Reward Benchmarks

LLME Score: 0.16251
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RakutenAI 7B Instruct Reward (ryota39/RakutenAI-7B-instruct-reward)
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RakutenAI 7B Instruct Reward Parameters and Internals

Model Type 
text classification
Additional Notes 
The model was trained in bf16 format.
Training Details 
Data Sources:
open-preference-v0.3
Methodology:
fine-tuned via LoRA
LLM NameRakutenAI 7B Instruct Reward
Repository 🤗https://huggingface.co/ryota39/RakutenAI-7B-instruct-reward 
Model Size7b
Required VRAM14.8 GB
Updated2024-12-05
Maintainerryota39
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   4.9 GB: 2-of-3   4.9 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size48000
Torch Data Typebfloat16

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Mistral 7B Instruct V0.232K / 14.4 GB33160952630
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Note: green Score (e.g. "73.2") means that the model is better than ryota39/RakutenAI-7B-instruct-reward.

Rank the RakutenAI 7B Instruct Reward Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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
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