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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
Model Card on HF 🤗: https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-v2 

Yi 34B 200K AEZAKMI V2 Benchmarks

MMLU Pro: 39.03
GPQA: 10.96
MUSR: 6.48
BBH: 35.28
IFEval: 45.55 vs 88 (so35)-48.2%
ARC: 67.92 vs 96.7 (so35)-29.8%
HellaSwag: 85.61 vs 95.3 (gpt4)-10.2%
MMLU: 75.22 vs 88.3 (so35)-14.8%
TruthfulQA: 56.74 vs 59 (gpt4)-3.8%
WinoGrande: 81.61 vs 87.5 (gpt4)-6.7%
GSM8K: 58.91 vs 96.4 (so35)-38.9%
MATH Lvl 5: 5.44
LLME Score: 0.25914
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 34B 200K AEZAKMI V2 (adamo1139/Yi-34B-200K-AEZAKMI-v2)

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 Notes 
Fine-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 🤗https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-v2 
Model Size34b
Required VRAM69.2 GB
Updated2024-12-21
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

Quantized Models of the Yi 34B 200K AEZAKMI V2

Model
Likes
Downloads
VRAM
Yi 34B 200K AEZAKMI V2 GGUF37014 GB
Yi 34B 200K AEZAKMI V2 GPTQ22718 GB
Yi 34B 200K AEZAKMI V2 AWQ22319 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.

Rank the Yi 34B 200K AEZAKMI V2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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