MoEv4Config-TIESwithRescale-7b
MoEv4Config-TIESwithRescale-7b is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: Kukedlc/NeuTrixOmniBe-7B-model-remix
# No parameters necessary for base model
- model: Kukedlc/NeuTrixOmniBe-7B-model-remix
parameters:
density: [1, 0.7, 0.1]
weight: [0, 0.3, 0.7, 1]
- model: PetroGPT/WestSeverus-7B-DPO
parameters:
density: [1, 0.7, 0.3]
weight: [0, 0.25, 0.5, 1]
- model: vanillaOVO/supermario_v4
parameters:
density: 0.33
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: ties
base_model: Kukedlc/NeuTrixOmniBe-7B-model-remix
parameters:
int8_mask: true
normalize: true
rescale: true
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "jsfs11/MoEv4Config-TIESwithRescale-7b"
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"])