Experimental
Collection
These models are experiments to test what is possible, some may not work at all
β’
6 items
β’
Updated
OxytocinEngineering_v0.1-14B-passthrough is a merge of the following models using LazyMergekit:
slices:
- sources:
- model: Sao10K/Fimbulvetr-11B-v2
layer_range: [0, 32]
- sources:
- model: KoboldAI/LLaMA2-13B-Tiefighter
layer_range: [16, 32]
- sources:
- model: localfultonextractor/Erosumika-7B
layer_range: [24, 32]
merge_method: passthrough
dtype: bfloat16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "weezywitasneezy/OxytocinEngineering_v0.1-31B-passthrough"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])