1.7 KiB
1.7 KiB
tags, base_model, license, language
| tags | base_model | license | language | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
apache-2.0 |
|
M_Moe_3x3B_TIES
M_Moe_3x3B_TIES is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: sapienzanlp/Minerva-3B-base-v1.0
# no parameters necessary for base model
- model: mudler/Asinello-Minerva-3B-v0.1
parameters:
density: 0.5
weight: 0.5
- model: mii-llm/minerva-chat-v0.1-alpha-sft
parameters:
density: 0.5
weight: 0.3
merge_method: ties
base_model: sapienzanlp/Minerva-3B-base-v1.0
parameters:
normalize: true
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "ludocomito/M_Moe_3x3B_TIES"
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"])