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Yi Wissenschaft 9B by nbeerbower

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  Autotrain compatible Base model:01-ai/yi-1.5-9b-cha... Base model:finetune:01-ai/yi-1...   Conversational Dataset:tasksource/scienceqa t...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/yi-wissenschaft-9B 

Yi Wissenschaft 9B Benchmarks

LLME Score: 0.18689
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi Wissenschaft 9B (nbeerbower/yi-wissenschaft-9B)

Yi Wissenschaft 9B Parameters and Internals

Additional Notes 
Fine-Tune Your Own Llama 2 Model in a Colab Notebook
Training Details 
Data Sources:
tasksource/ScienceQA_text_only
Methodology:
Finetuned using an A100 on Google Colab. Correct answers were selected as the chosen answer, a random wrong answer was selected as 'rejected'.
Hardware Used:
A100 on Google Colab
LLM NameYi Wissenschaft 9B
Repository 🤗https://huggingface.co/nbeerbower/yi-wissenschaft-9B 
Base Model(s)  01-ai/Yi-1.5-9B-Chat   01-ai/Yi-1.5-9B-Chat
Model Size9b
Required VRAM17.7 GB
Updated2025-02-22
Maintainernbeerbower
Model Typellama
Model Files  4.9 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   2.8 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/yi-wissenschaft-9B.

Rank the Yi Wissenschaft 9B 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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Release v20241227
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