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, LLM Explorer Score: 0.12, Arc: 66, HellaSwag: 83.9, MMLU: 74.8, GSM8K: 55.5.

  Adapter   Finetuned   Lora   Region:us   Safetensors

Yi 34B 200K AEZAKMI RAW 2301 LoRA Benchmarks

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 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
Updated2026-06-11
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.

Rank the Yi 34B 200K AEZAKMI RAW 2301 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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Release v20260328a