Quantization made by Richard Erkhov.
llama3-wordcel - bnb 4bits
Original model description:
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- sft
base_model: meta-llama/Meta-Llama-3-8B
datasets:
- teknium/OpenHermes-2.5
- grimulkan/theory-of-mind
- grimulkan/physical-reasoning
Llama3 8B Wordcel
Wordcel is a Llama3 fine-tune intended to be used as a mid-training checkpoint for more specific RP/storywriting/creative applications.
It has been trained from Llama3 8B Base on a composite dataset of ~100M tokens that highlights reasoning, (uncensored) stories, classic literature, and assorted interpersonal intelligence tasks.
Components of the composite dataset include
OpenHermes-2.5, and
Grimulkan's
Theory of Mind and
Physical Reasoning datasets.
It is trained at a context length of 32k tokens, using linear RoPE scaling with a factor of 4.0. Derivative models should be capable of generalizing to 32k tokens as a result.
If you train a model using this checkpoint, please give clear attribution! The Llama 3 base license likely applies.
