Q25-1.5-VeoLu-R2
A source of life and hope for the land.
Q25-1.5B-Veo Lu is a tiny General-Purpose Creative model, made up of a merge of bespoke finetunes on Qwen 2.5-1.5B-Instruct.
Inspired by the success of MN-12B-Mag Mell and MS-Meadowlark-22B, Veo Lu was trained on a healthy, balanced diet of of Internet fiction, roleplaying, adventuring, and reasoning/general knowledge.
The components of Veo Lu are:
- Bard (pretrain, writing): Fujin (Cleaned/extended Rosier)
- Scribe (pretrain, roleplay): Creative Writing Multiturn
- Cartographer (pretrain, adventuring): SpringDragon
- Alchemist (SFT, science/reasoning): ScienceQA, MedquadQA, Orca Math Word Problems
This model is capable of carrying on a scene without going completely off the rails. That being said, it only has 1.5B parameters. So please, for the love of God, manage your expectations. Since it's Qwen, use ChatML formatting. Turn the temperature down to ~0.7-0.8 and try a dash of rep-pen.
GGUFs coming soon, but honestly, the full-precision model is 3.5GB in size. You might wanna have a go at running this unquantized with vLLM.
pip install vllm
vllm serve Alfitaria/Q25-1.5B-VeoLu --max-model-len 16384 --max-num-seqs 1
Made by inflatebot.
Special thanks to our friends at Allura, and especially to Auri, who basically held my hand through the whole process. Her effort and enthusiasm carried this project forward.
Configuration
The following YAML configuration was used to produce this model:
base_model: Qwen/Qwen2.5-1.5B-Instruct
dtype: bfloat16
merge_method: task_arithmetic
parameters:
normalize: 1.0
slices:
- sources:
- layer_range: [0, 28]
model: bard
parameters:
weight: 1.0
- layer_range: [0, 28]
model: scribe
parameters:
weight: 1.0
- layer_range: [0, 28]
model: cartographer
parameters:
weight: 1.0
- layer_range: [0, 28]
model: alchemist
parameters:
weight: 1.0
- layer_range: [0, 28]
model: Qwen/Qwen2.5-1.5B-Instruct