mis-wes
mis-wes is a merge of the following models using LazyMergekit:
🧩 Configuration
slices:
- sources:
- model: mistralai/Mistral-7B-v0.1
layer_range: [0, 20]
- model: senseable/WestLake-7B-v2
layer_range: [0, 20]
merge_method: slerp
base_model: mistralai/Mistral-7B-v0.1
parameters:
t:
- filter: lm_head
value: [0.75]
- filter: embed_tokens
value: [0.75]
- filter: self_attn
value: [0.75,0.25]
- filter: mlp
value: [0.25,0.75]
- filter: layernorm
value: [0.5,0.5]
- filter: modelnorm
value: [0.75]
- value: 0.5
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "ajay141/mis-wes"
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"])