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Lyralin-12B-V1
NevTestOrg/Lyralin-12B-V1
Lyralin-12B-V1 is a machine learning model from NevTestOrg. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Lyralin-12B-v1 is a merge of the following models using LazyMergekit: UsernameJustAnother/Nemo-12B-Marlin-v5 Sao10K/MN-12B-Lyra-v1
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At a glance
- Model type
- mistral
- Access
- Public
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024
- SHA
- c0d159a0
Base models
Model card
From the Hugging Face model README
Lyralin-12B-v1
Lyralin-12B-v1 is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: UsernameJustAnother/Nemo-12B-Marlin-v5
parameters:
density: 0.4
weight: 0.70
- model: Sao10K/MN-12B-Lyra-v1
parameters:
density: 0.6
weight: 0.30
merge_method: ties
base_model: UsernameJustAnother/Nemo-12B-Marlin-v5
parameters:
normalize: true
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "GalrionSoftworks/Lyralin-12B-v1"
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"])
- Type
- mistral
- Created
- Aug 13, 2024
- Updated
- Aug 13, 2024