Yi 34B 200K AEZAKMI RAW 2901 by adamo1139

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  Autotrain compatible   Dataset:adamo1139/aezakmi v2   Dataset:adamo1139/rawrr v1   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Yi 34B 200K AEZAKMI RAW 2901 Benchmarks

Yi 34B 200K AEZAKMI RAW 2901 (adamo1139/Yi-34B-200K-AEZAKMI-RAW-2901)

Yi 34B 200K AEZAKMI RAW 2901 Parameters and Internals

Model Type 
chat model
Use Cases 
Applications:
chat
Primary Use Cases:
chat assistance
Limitations:
Not good at math or riddles, Known issues with repetition
Considerations:
Repetition penalty recommended to avoid repetition issues
Additional Notes 
EXPERIMENTAL MODEL, NOT FINAL, IT HAS SOME ISSUES, I DIDN'T TEST IT TOO MUCH YET
Training Details 
Data Sources:
adamo1139/AEZAKMI_v2, adamo1139/rawrr_v1
Methodology:
Fine-tuned via DPO and SFT using Unsloth
Context Length:
200000
Training Time:
DPO: 6 hours, SFT: 25 hours
Input Output 
Input Format:
Standard ChatML format
Accepted Modalities:
text
Performance Tips:
Repetition penalty around 1.05 is recommended.
LLM NameYi 34B 200K AEZAKMI RAW 2901
Repository ๐Ÿค—https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-RAW-2901 
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 Length200000
Model Max Length200000
Transformers Version4.36.2
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 adamo1139/Yi-34B-200K-AEZAKMI-RAW-2901.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227