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Yi 34B 200K AEZAKMI V2 LoRA by adamo1139

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Yi 34B 200K AEZAKMI V2 LoRA is an open-source language model by adamo1139. Features: 34b LLM, VRAM: 0.5GB, License: apache-2.0, LLM Explorer Score: 0.11.

  4-bit   Bitsandbytes   Endpoints compatible   Llama   Lora   Region:us
Model Card on HF 🤗: https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-v2-LoRA 

Yi 34B 200K AEZAKMI V2 LoRA Benchmarks

LLME Score: 0.10919
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 LoRA (adamo1139/Yi-34B-200K-AEZAKMI-v2-LoRA)
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Yi 34B 200K AEZAKMI V2 LoRA Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
chatbot development
Limitations:
Handling long system messages, Tendency to repeat responses, Unrestricted nature leading to inappropriate outputs
Considerations:
Use structured prompt format for optimal performance
Training Details 
Data Sources:
AEZAKMI v2 dataset
Methodology:
LoRA fine-tuning
Context Length:
200000
Training Time:
25 hours
Hardware Used:
Single local RTX 3090 Ti
Model Architecture:
HLF fine-tuned on AEZAKMI v2
Safety Evaluation 
Ethical Considerations:
Unrestricted-ness of v2 needs improvement
Input Output 
Input Format:
ChatML format
Accepted Modalities:
text
Output Format:
Standard response format with paragraph spacing
Performance Tips:
Set repetition penalty to ~1.05 and temperature to 1.2 for best results.
LLM NameYi 34B 200K AEZAKMI V2 LoRA
Repository 🤗https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-v2-LoRA 
Model Size34b
Required VRAM0.5 GB
Updated2026-03-30
Maintaineradamo1139
Model Files  0.5 GB
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|k_proj|up_proj|v_proj|gate_proj|q_proj|down_proj
LoRA Alpha32
LoRA Dropout0.05
R Param16

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

Rank the Yi 34B 200K AEZAKMI V2 LoRA 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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