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Configurable Yi 1.5 9B Chat by vicgalle

 »  All LLMs  »  vicgalle  »  Configurable Yi 1.5 9B Chat   URL Share it on

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  Arxiv:2404.00495   Autotrain compatible   Conversational Dataset:vicgalle/configurable-...   Endpoints compatible   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/vicgalle/Configurable-Yi-1.5-9B-Chat 

Configurable Yi 1.5 9B Chat Benchmarks

MMLU Pro: 33.5
GPQA: 12.42
MUSR: 12.02
BBH: 35.33
IFEval: 43.23 vs 88 (so35)-50.9%
ARC: 64.16 vs 96.7 (so35)-33.7%
HellaSwag: 81.7 vs 95.3 (gpt4)-14.3%
MMLU: 70.99 vs 88.3 (so35)-19.6%
TruthfulQA: 58.75 vs 59 (gpt4)-0.4%
WinoGrande: 76.8 vs 87.5 (gpt4)-12.2%
GSM8K: 70.58 vs 96.4 (so35)-26.8%
MATH Lvl 5: 20.47
LLME Score: 0.30351
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Configurable Yi 1.5 9B Chat (vicgalle/Configurable-Yi-1.5-9B-Chat)

Configurable Yi 1.5 9B Chat Parameters and Internals

Model Type 
text-generation
Additional Notes 
Model fine-tuned with an emphasis on safety and alignment using synthetic preference data.
Training Details 
Data Sources:
vicgalle/configurable-system-prompt-multitask
Methodology:
configurable safety tuning (CST)
Input Output 
Input Format:
system prompt configuration with role-played scenarios
Accepted Modalities:
text
Output Format:
generated text
LLM NameConfigurable Yi 1.5 9B Chat
Repository 🤗https://huggingface.co/vicgalle/Configurable-Yi-1.5-9B-Chat 
Model Size9b
Required VRAM17.7 GB
Updated2025-03-20
Maintainervicgalle
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 Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than vicgalle/Configurable-Yi-1.5-9B-Chat.

Rank the Configurable Yi 1.5 9B Chat 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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