Yi 34B Spicyboros 3.1 2 LoRA by LoneStriker

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Yi 34B Spicyboros 3.1 2 LoRA is an open-source language model by LoneStriker. Features: 34b LLM, VRAM: 2GB, LLM Explorer Score: 0.1.

  4-bit   Bitsandbytes   Dataset:unalignment/spicy-3.1   Endpoints compatible   Generated from trainer   Llama   Lora   Region:us   Safetensors

Yi 34B Spicyboros 3.1 2 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 Spicyboros 3.1 2 LoRA (LoneStriker/Yi-34B-Spicyboros-3.1-2-LoRA)
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Yi 34B Spicyboros 3.1 2 LoRA Parameters and Internals

Use Cases 
Limitations:
Repetition penalty may need to be turned down to 1.0 to avoid "thesaurus" mode.
Additional Notes 
Fine-tuned with Spicyboros-3.1 dataset for three epochs using a multi-GPU distributed setup.
Training Details 
Data Sources:
unalignment/spicy-3.1
Hardware Used:
single 3090/4090, more than one GPU 24 GB VRAM GPU
LLM NameYi 34B Spicyboros 3.1 2 LoRA
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Yi-34B-Spicyboros-3.1-2-LoRA 
Model Size34b
Required VRAM2 GB
Updated2026-03-22
MaintainerLoneStriker
Model Files  2.0 GB
Model ArchitectureAutoModelForCausalLM
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|v_proj|gate_proj|up_proj|down_proj|o_proj|q_proj
LoRA Alpha16
LoRA Dropout0.07
R Param64

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Yi-34B-Spicyboros-3.1-2-LoRA.

Rank the Yi 34B Spicyboros 3.1 2 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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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a