Yi 34B 200K AEZAKMI RAW 2301 LoRA by adamo1139

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Yi 34B 200K AEZAKMI RAW 2301 LoRA is an open-source language model by adamo1139. Features: 34b LLM, VRAM: 0.5GB, License: apache-2.0, HF Score: 69.3, LLM Explorer Score: 0.13, Arc: 66, HellaSwag: 83.9, MMLU: 74.8, TruthfulQA: 57.1, WinoGrande: 78.7, GSM8K: 55.5.

  Adapter   Finetuned   Lora   Region:us   Safetensors

Yi 34B 200K AEZAKMI RAW 2301 LoRA Benchmarks

Yi 34B 200K AEZAKMI RAW 2301 LoRA Parameters and Internals

Additional Notes 
This model is experimental and might be buggy.
Training Details 
Methodology:
Finetuning over Yi-34B-200K-rawrr-r3 using DPO and SFT with Lora
Context Length:
2200
Training Time:
18 hours
Hardware Used:
Local RTX 3090 Ti
LLM NameYi 34B 200K AEZAKMI RAW 2301 LoRA
Repository 🤗https://huggingface.co/adamo1139/Yi-34B-200K-AEZAKMI-RAW-2301-LoRA 
Model Size34b
Required VRAM0.5 GB
Updated2026-03-29
Maintaineradamo1139
Model Files  0.5 GB
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|gate_proj|k_proj|v_proj|o_proj|q_proj|down_proj
LoRA Alpha32
LoRA Dropout0
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-RAW-2301-LoRA.

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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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Release v20260328a