EverythingLM 13B V2 16K GGUF by TheBloke

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Base model:quantized:totally-n... Base model:totally-not-an-llm/... Dataset:totally-not-an-llm/eve...   Gguf   Llama   Quantized   Region:us

EverythingLM 13B V2 16K GGUF Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EverythingLM 13B V2 16K GGUF (TheBloke/EverythingLM-13b-V2-16K-GGUF)
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EverythingLM 13B V2 16K GGUF Parameters and Internals

Model Type 
llama
Additional Notes 
EverythingLM is a llama-2 based, general-purpose 13b model with 16k context thanks to LlongMa. The model is trained on the EverythingLM-V2 dataset. Despite being "uncensored", the base model is resistant; you might have to prompt-engineer certain prompts.
Input Output 
Input Format:
You are a helpful AI assistant. USER: {prompt} ASSISTANT:
LLM NameEverythingLM 13B V2 16K GGUF
Repository ๐Ÿค—https://huggingface.co/TheBloke/EverythingLM-13b-V2-16K-GGUF 
Model NameEverythingLM 13B V2 16K
Model CreatorKai Howard
Base Model(s)  EverythingLM 13B V2 16K   totally-not-an-llm/EverythingLM-13b-V2-16k
Model Size13b
Required VRAM5.4 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  5.4 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   6.3 GB   7.4 GB   0.0 GB   9.2 GB   9.0 GB   10.7 GB   13.8 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Licensellama2

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/EverythingLM-13b-V2-16K-GGUF.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124