1PARAMMYL-8B-ModelStock
1PARAMMYL-8B-ModelStock is a merge of the following models using LazyMergekit:
𧩠Configuration
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
π» Usage
!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"])
Open LLM Leaderboard Evaluation Results
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 |
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Model tree for Youlln/1PARAMMYL-8B-ModelStock
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct
Finetuned
arcee-ai/Llama-3.1-SuperNova-Lite
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard53.710
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard31.800
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard13.140
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.840
- acc_norm on MuSR (0-shot)Open LLM Leaderboard14.280
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard33.340