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Youlln/1PARAMMYL-8B-ModelStock
1PARAMMYL-8B-ModelStock is a machine learning model from Youlln. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
1PARAMMYL-8B-ModelStock is a merge of the following models using LazyMergekit: arcee-ai/Llama-3.1-SuperNova-Lite
Downloads · 30 days
25
11% of all-time downloads
All-time downloads
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.safetensors16.1 GB · 100%
From the Hugging Face model README
1PARAMMYL-8B-ModelStock is a merge of the following models using LazyMergekit:
slices:
- sources:
- model: arcee-ai/Llama-3.1-SuperNova-Lite
layer_range: [0, 32]
- model: DreadPoor/Heart_Stolen-8B-Model_Stock
layer_range: [0, 32]
- model: Dampfinchen/Llama-3.1-8B-Ultra-Instruct
layer_range: [0, 32]
merge_method: model_stock
base_model: arcee-ai/Llama-3.1-SuperNova-Lite
dtype: bfloat16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Youlln/1PARAMMYL-8B-ModelStock"
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"])
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 26.02 |
| IFEval (0-Shot) | 53.71 |
| BBH (3-Shot) | 31.80 |
| MATH Lvl 5 (4-Shot) | 13.14 |
| GPQA (0-shot) | 9.84 |
| MuSR (0-shot) | 14.28 |
| MMLU-PRO (5-shot) | 33.34 |