Yi 34B 200K MiniOrca Adapter by KnutJaegersberg

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Yi 34B 200K MiniOrca Adapter is an open-source language model by KnutJaegersberg. Features: 34b LLM, VRAM: 0.1GB, License: other, LLM Explorer Score: 0.1.

  Adapter   Dataset:tinypixel/orca-mini   Finetuned   Lora   Region:us   Safetensors

Yi 34B 200K MiniOrca Adapter 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 MiniOrca Adapter Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
TinyPixel/orca-mini
Methodology:
Trained for 2.7 epochs on the 50k shortest records of miniorca dataset with NEFTune.
LLM NameYi 34B 200K MiniOrca Adapter
Repository 🤗https://huggingface.co/KnutJaegersberg/Yi-34B-200K-MiniOrca-Adapter 
Model Size34b
Required VRAM0.1 GB
Updated2026-04-14
MaintainerKnutJaegersberg
Model Files  0.1 GB
Model ArchitectureAdapter
Licenseother
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_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 KnutJaegersberg/Yi-34B-200K-MiniOrca-Adapter.

Rank the Yi 34B 200K MiniOrca Adapter 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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Release v20260328a