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Llama 2 13B by GrazittiInteractive

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Llama 2 13B is an open-source language model by GrazittiInteractive. Features: 13b LLM, VRAM: 7.4GB, Context: 4K, License: other, Quantized, HF Score: 53.1, LLM Explorer Score: 0.11, Arc: 59, HellaSwag: 82.3, MMLU: 55.4, TruthfulQA: 35.8, WinoGrande: 76.3, GSM8K: 10.

  Dataset:meta-llama/llama-2-13b   En   Facebook   Ggml   Llama   Llama2   Meta   Pytorch   Q4   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/GrazittiInteractive/llama-2-13b 

Llama 2 13B Benchmarks

ARC: 59.04 vs 96.7 (so35)-38.9%
HellaSwag: 82.33 vs 95.3 (gpt4)-13.6%
MMLU: 55.36 vs 88.3 (so35)-37.3%
TruthfulQA: 35.75 vs 59 (gpt4)-39.4%
WinoGrande: 76.32 vs 87.5 (gpt4)-12.8%
GSM8K: 10.01 vs 96.4 (so35)-89.6%
LLME Score: 0.11175
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 13B (GrazittiInteractive/llama-2-13b)
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Llama 2 13B Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Assistant-like chat, Natural language generation tasks
Additional Notes 
The provided files are for a quantized version in 4-bit GGML format.
Training Details 
Data Sources:
publicly available online data
Data Volume:
2 trillion tokens (pretraining)
Methodology:
Supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
4000
Hardware Used:
Meta's Research Super Cluster, A100-80GB GPUs
Model Architecture:
Auto-regressive transformer architecture
Safety Evaluation 
Ethical Considerations:
Requires safety testing and tuning before deployment
Input Output 
Input Format:
Text input
Accepted Modalities:
text
Output Format:
Text output
LLM NameLlama 2 13B
Repository 🤗https://huggingface.co/GrazittiInteractive/llama-2-13b 
Base Model(s)  Ligma L2 13B   kubernetes-bad/Ligma-L2-13b
Model Size13b
Required VRAM7.4 GB
Updated2026-04-24
MaintainerGrazittiInteractive
Model Typellama
Model Files  7.4 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml|q4
Model ArchitectureAutoModelForCausalLM
Licenseother
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Vocabulary Size-1
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than GrazittiInteractive/llama-2-13b.

Rank the Llama 2 13B 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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