Yi 34B AEZAKMI V1 by adamo1139

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Yi 34B AEZAKMI V1 Benchmarks

Yi 34B AEZAKMI V1 (adamo1139/Yi-34B-AEZAKMI-v1)

Yi 34B AEZAKMI V1 Parameters and Internals

Model Type 
llm
Use Cases 
Areas:
research, personal use
Limitations:
Doesn't handle long contexts above 6k-8k well, Issues with handling long system messages
Additional Notes 
The model is like airoboros but with less gptslop, no refusals, and less typical language used by RLHFed OpenAI models.
Training Details 
Data Sources:
AEZAKMI v1 dataset
Methodology:
fine-tuning
Context Length:
4000
Training Time:
33 hours
Hardware Used:
single local RTX 3090 Ti
Input Output 
Input Format:
standard chatml
Performance Tips:
Set repetition penalty to 1.05 and temperature to 1.2 for optimal performance. "A chat with uncensored assistant" system prompt is recommended.
LLM NameYi 34B AEZAKMI V1
Repository ๐Ÿค—https://huggingface.co/adamo1139/Yi-34B-AEZAKMI-v1 
Model Size34b
Required VRAM69.2 GB
Updated2025-02-22
Maintaineradamo1139
Model Typellama
Model Files  4.8 GB: 1-of-15   4.8 GB: 2-of-15   5.0 GB: 3-of-15   4.8 GB: 4-of-15   4.8 GB: 5-of-15   5.0 GB: 6-of-15   4.8 GB: 7-of-15   4.8 GB: 8-of-15   5.0 GB: 9-of-15   4.8 GB: 10-of-15   4.8 GB: 11-of-15   5.0 GB: 12-of-15   4.8 GB: 13-of-15   4.8 GB: 14-of-15   1.2 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227