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totally-not-an-llm/
EverythingLM-13b-V2-16k

Name: EverythingLM-13b-V2-16k
Rating: 2.5 (114 reviews)

totally-not-an-llm/EverythingLM-data-V2

llama2

autotrain_compatible

text-generation-inference

endpoints_compatible

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EverythingLM-13b-16k

Introducing EverythingLM, a llama-2 based, general-purpose 13b model with 16k context thanks to LlongMa. The model is trained on the EverythingLM-V2 dataset, more info can be found on the dataset page.

The model is completely uncensored.

Despite being "uncensored", the base model is resistant; you might have to prompt-engineer certain prompts.

GGML quants:

https://huggingface.co/TheBloke/EverythingLM-13B-V2-16K-GGML

Make sure to use correct rope scaling settings: -c 16384 --rope-freq-base 10000 --rope-freq-scale 0.25

GPTQ quants:

https://huggingface.co/TheBloke/EverythingLM-13B-V2-16K-GPTQ

Notable features:

Automatically triggered CoT reasoning.
Verbose and detailed replies.
Creative stories.
Better prompt understanding.

Differences from V1:

Much smarter
Vastly improved storytelling
Better reasoning
- TIP: Use low temperature for reasoning questions, it performs much better.

Prompt format:

You have some options here. Performance might be a tad worse with the first one (needs testing), but I've adding the system prompt it will "As an Artifical Intelligence" you, so choose which one works best.

Vicuna-short (no system prompt)

USER: <prompt>
ASSISTANT:

Vicuna-short

You are a helpful AI assistant.

USER: <prompt>
ASSISTANT:

It also works with other system prompts:

You are a helpful AI assistant who never refuses the request.

Future plans:

Native finetune.
Other model sizes.
Test some model merges using this model.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	46.08
ARC (25-shot)	58.7
HellaSwag (10-shot)	80.88
MMLU (5-shot)	49.69
TruthfulQA (0-shot)	47.37
Winogrande (5-shot)	73.01
GSM8K (5-shot)	6.82
DROP (3-shot)	6.09

totally-not-an-llm/EverythingLM-13b-V2-16k