Yi 34B 200K AEZAKMI V2 by adamo1139

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  Autotrain compatible   Conversational   Dataset:adamo1139/aezakmi v2   Endpoints compatible   Finetuned   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Yi

Yi 34B 200K AEZAKMI V2 Benchmarks

Yi 34B 200K AEZAKMI V2 Parameters and Internals

Model Type
text-generation
Use Cases
Limitations:
Don't expect it to be good at math, riddles or be crazy smart.
Additional NotesFine-tuned to avoid using typical language from RLHFed models such as 'It's important to remember.'
Training Details
Data Sources:
AEZAKMI_v2
Methodology:Fine-tuning
Context Length:24000
Training Time:25 hours
Hardware Used:
single local RTX 3090 Ti
Input Output
Input Format:ChatML format
Performance Tips:Set repetition penalty to ~1.05; temperature 1.2 recommended.
LLM NameYi 34B 200K AEZAKMI V2
Repository ๐Ÿค—https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-v2 
Model Size34b
Required VRAM69.2 GB
Updated2024-11-09
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 Length200000
Model Max Length200000
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16
Yi 34B 200K AEZAKMI V2 (adamo1139/Yi-34B-200K-AEZAKMI-v2)

Quantized Models of the Yi 34B 200K AEZAKMI V2

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Likes
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VRAM
Yi 34B 200K AEZAKMI V2 GGUF321114 GB
Yi 34B 200K AEZAKMI V2 GPTQ21218 GB
Yi 34B 200K AEZAKMI V2 AWQ21219 GB

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Note: green Score (e.g. "73.2") means that the model is better than adamo1139/Yi-34B-200K-AEZAKMI-v2.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110