EverythingLM 13B 16K GPTQ by TheBloke

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EverythingLM 13B 16K GPTQ is an open-source language model by TheBloke. Features: 13b LLM, VRAM: 7.3GB, Context: 16K, License: llama2, Quantized, HF Score: 34.4, LLM Explorer Score: 0.13, Arc: 29.3, HellaSwag: 26.2, MMLU: 25.4, TruthfulQA: 48.6, WinoGrande: 71.4, GSM8K: 5.4.

  4-bit Base model:quantized:totally-n... Base model:totally-not-an-llm/... Dataset:totally-not-an-llm/eve...   Gptq   Llama   Quantized   Region:us   Safetensors

EverythingLM 13B 16K GPTQ Benchmarks

EverythingLM 13B 16K GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
This model is an early test of the EverythingLM dataset and some new experimental principles, so don't consider it SOTA.
Training Details 
Data Sources:
EverythingLM dataset
Methodology:
QLoRa
Context Length:
16000
Training Time:
1 hour
Hardware Used:
1xA100
Model Architecture:
llama-2 based
LLM NameEverythingLM 13B 16K GPTQ
Repository 🤗https://huggingface.co/TheBloke/EverythingLM-13B-16K-GPTQ 
Model NameEverythingLM 13B 16K
Model CreatorKai Howard
Base Model(s)  EverythingLM 13B 16K   totally-not-an-llm/EverythingLM-13b-16k
Model Size13b
Required VRAM7.3 GB
Updated2026-04-25
MaintainerTheBloke
Model Typellama
Model Files  7.3 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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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