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EVA Yi 1.5 9B 32K V1 by EVA-UNIT-01

 »  All LLMs  »  EVA-UNIT-01  »  EVA Yi 1.5 9B 32K V1   URL Share it on

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Base model:auriaetherwiing/yi-... Base model:finetune:auriaether... Dataset:allura-org/celeste-1.x... Dataset:kalomaze/opus instruct...   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1 

EVA Yi 1.5 9B 32K V1 Benchmarks

LLME Score: 0.18124
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EVA Yi 1.5 9B 32K V1 (EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1)
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EVA Yi 1.5 9B 32K V1 Parameters and Internals

Model Type 
RP, storywriting
Additional Notes 
Continuation of nothingiisreal's Celeste 1.x series designed to improve stability and versatility, while maintaining unique writing style.
Training Details 
Data Sources:
Celeste 70B 0.1 data mixture minus Opus Instruct subset, Kalomaze's Opus_Instruct_25k dataset, filtered for refusals
Methodology:
full-parameter finetune
Hardware Used:
4x3090Ti for 5 days
Input Output 
Input Format:
ChatML
Performance Tips:
Recommend using original BFloat16 weights; quantization affects Yi significantly more than other model architectures.
LLM NameEVA Yi 1.5 9B 32K V1
Repository 🤗https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1 
Base Model(s)  AuriAetherwiing/Yi-1.5-9B-32K-tokfix   AuriAetherwiing/Yi-1.5-9B-32K-tokfix
Model Size9b
Required VRAM17.7 GB
Updated2025-09-23
MaintainerEVA-UNIT-01
Model Typellama
Instruction-BasedYes
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   0.0 GB
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
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 EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1.

Rank the EVA Yi 1.5 9B 32K V1 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 v20241124
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