Yi-34B-200K-DARE-merge-v7 / mergekit_config.yml
brucethemoose's picture
Upload folder using huggingface_hub
50ab5fc
raw
history blame
2.04 kB
models:
- model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
# No parameters necessary for base model
- model: /home/alpha/Storage/Models/Raw/migtissera_Tess-34B-v1.4
parameters:
weight: [0.23, 0.125, 0.125, 0.125, 0.125, 0.125]
density: 0.59
- model: /home/alpha/Models/Raw/Mihaiii_Pallas-0.5
parameters:
weight: [0.23, 0.125, 0.125, 0.125, 0.125, 0.125]
density: 0.59
- model: /home/alpha//Storage/Models/Raw/bhenrym14_airoboros-3_1-yi-34b-200k
parameters:
weight: [0.02, 0.106, 0.106, 0.106, 0.106, 0.106]
density: 0.59
- model: /home/alpha/Storage/Models/Raw/jondurbin_bagel-34b-v0.2
#Only the SFT in the main merge since the DPO version seems to have no long context ability at all
parameters:
weight: [0.02, 0.100, 0.100, 0.100, 0.100, 0.100]
density: 0.4
- model: /home/alpha/Storage/Models/Raw/kyujinpy_PlatYi-34B-200k-Q-FastChat
parameters:
weight: [0.02, 0.100, 0.100, 0.100, 0.100, 0.100]
density: 0.59
#- model: /home/alpha/Storage/Models/Raw/ehartford_dolphin-2.2-yi-34b-200k
# Dolphin 200K seems to be funky according to multiple leaderboards and perplexity tests?
# parameters:
# weight: 0.15
# density: 0.6
- model: /home/alpha/Models/Raw/adamo1139_Yi-34B-200K-AEZAKMI-v2
parameters:
weight: [0.02, 0.110, 0.110, 0.110, 0.110, 0.110]
density: 0.59
- model: /home/alpha/Storage/Models/Raw/Nous-Capybara-34B
parameters:
weight: [0.22, 0.126, 0.126, 0.126, 0.126, 0.126]
density: 0.59
- model: /home/alpha/Storage/Models/Raw/4kmerge
parameters:
weight: [0.02, 0.108, 0.108, 0.108, 0.108, 0.108]
density: 0.5
- model: /home/alpha/Models/Raw/migtissera_Tess-M-Creative-v1.0
parameters:
weight: [0.22, 0.100, 0.100, 0.100, 0.100, 0.10]
density: 0.59
merge_method: dare_ties
tokenizer_source: union
base_model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
parameters:
int8_mask: true
dtype: bfloat16