# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("jeiku/longtest", trust_remote_code=True, dtype="auto")Quick Links
long
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: jeiku/Rosa_v1_3B
layer_range: [0, 10]
- sources:
- model: jeiku/ToxicNoRobotsRosaHermesBoros_3B
layer_range: [8, 18]
- sources:
- model: jeiku/Rosa_v1_3B
layer_range: [16, 26]
- sources:
- model: jeiku/ToxicNoRobotsRosaHermesBoros_3B
layer_range: [22, 32]
merge_method: passthrough
dtype: float16
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jeiku/longtest", trust_remote_code=True) messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)