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EverythingLM 13B 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
Model Card on HF 🤗: https://huggingface.co/TheBloke/EverythingLM-13B-16K-GGUF 

EverythingLM 13B 16K GGUF Benchmarks

LLME Score: 0.14141
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
EverythingLM 13B 16K GGUF (TheBloke/EverythingLM-13B-16K-GGUF)

EverythingLM 13B 16K GGUF Parameters and Internals

Model Type 
llama
Use Cases 
Primary Use Cases:
Creative stories, Detailed replies, Prompt understanding
Additional Notes 
EverythingLM is an early test and not SOTA. Automatically triggered CoT reasoning, verbose replies, likes writing fairy tales, repetition issues, performs better with more detail.
Training Details 
Data Sources:
EverythingLM dataset
Methodology:
QLoRa on 1xA100
Context Length:
16000
Training Time:
about 1 hour
Model Architecture:
LlongMa
Input Output 
Input Format:
Modified Vicuna format
LLM NameEverythingLM 13B 16K GGUF
Repository 🤗https://huggingface.co/TheBloke/EverythingLM-13B-16K-GGUF 
Model NameEverythingLM 13B 16K
Model CreatorKai Howard
Base Model(s)  EverythingLM 13B 16K   totally-not-an-llm/EverythingLM-13b-16k
Model Size13b
Required VRAM5.4 GB
Updated2024-12-22
MaintainerTheBloke
Model Typellama
Model Files  5.4 GB   6.9 GB   6.3 GB   5.7 GB   7.4 GB   7.9 GB   7.4 GB   9.0 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-16K-GGUF.

Rank the EverythingLM 13B 16K GGUF 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  
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Release v20241217
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