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EverythingLM 13B 16K GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:quantized:totally-n... Base model:totally-not-an-llm/... Dataset:totally-not-an-llm/eve...   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/EverythingLM-13B-16K-GPTQ 

EverythingLM 13B 16K GPTQ Benchmarks

ARC: 29.27 vs 96.7 (so35)-69.7%
HellaSwag: 26.24 vs 95.3 (gpt4)-72.5%
MMLU: 25.4 vs 88.3 (so35)-71.2%
TruthfulQA: 48.58 vs 59 (gpt4)-17.7%
WinoGrande: 71.35 vs 87.5 (gpt4)-18.5%
GSM8K: 5.38 vs 96.4 (so35)-94.4%
LLME Score: 0.17527
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 GPTQ (TheBloke/EverythingLM-13B-16K-GPTQ)

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
Updated2024-12-22
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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Rank the EverythingLM 13B 16K GPTQ Capabilities

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Instruction Following and Task Automation  
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Release v20241217
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