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Llama2 13B No Robots Alpaca Lora by Undi95

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Llama2 13B No Robots Alpaca Lora is an open-source language model by Undi95. Features: 13b LLM, VRAM: 4GB, License: cc-by-nc-4.0, HF Score: 52.8, LLM Explorer Score: 0.14, Arc: 58.9, HellaSwag: 82.4, MMLU: 53.1, TruthfulQA: 40.5, WinoGrande: 75.3, GSM8K: 6.4.

  8-bit   Bitsandbytes   Endpoints compatible   Generated from trainer   Llama   Lora   Region:us
Model Card on HF 🤗: https://huggingface.co/Undi95/Llama2-13B-no_robots-alpaca-lora 

Llama2 13B No Robots Alpaca Lora Benchmarks

ARC: 58.87 vs 96.7 (so35)-39.1%
HellaSwag: 82.43 vs 95.3 (gpt4)-13.5%
MMLU: 53.11 vs 88.3 (so35)-39.9%
TruthfulQA: 40.46 vs 59 (gpt4)-31.4%
WinoGrande: 75.3 vs 87.5 (gpt4)-13.9%
GSM8K: 6.44 vs 96.4 (so35)-93.3%
LLME Score: 0.13531
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama2 13B No Robots Alpaca Lora (Undi95/Llama2-13B-no_robots-alpaca-lora)
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Llama2 13B No Robots Alpaca Lora Parameters and Internals

Additional Notes 
This LoRA was trained with a converted ShareGPT dataset that uses Alpaca prompting.
Training Details 
Data Sources:
Doctor-Shotgun/no-robots-sharegpt
Methodology:
LoRA training on Alpaca
Input Output 
Input Format:
Prompt in Alpaca format
Accepted Modalities:
text
Output Format:
Generated response in Alpaca format
LLM NameLlama2 13B No Robots Alpaca Lora
Repository 🤗https://huggingface.co/Undi95/Llama2-13B-no_robots-alpaca-lora 
Model Size13b
Required VRAM4 GB
Updated2026-04-18
MaintainerUndi95
Model Files  4.0 GB
Model ArchitectureAutoModelForCausalLM
Licensecc-by-nc-4.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesk_proj|v_proj|up_proj|q_proj|down_proj|o_proj|gate_proj
LoRA Alpha16
LoRA Dropout0.05
R Param256

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Note: green Score (e.g. "73.2") means that the model is better than Undi95/Llama2-13B-no_robots-alpaca-lora.

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