metadata
tags:
- merge
- mergekit
- lazymergekit
- arcee-ai/Llama-3.1-SuperNova-Lite
base_model:
- arcee-ai/Llama-3.1-SuperNova-Lite
model-index:
- name: 1PARAMMYL-8B-ModelStock
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 53.71
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/1PARAMMYL-8B-ModelStock
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 31.8
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/1PARAMMYL-8B-ModelStock
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 13.14
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/1PARAMMYL-8B-ModelStock
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 9.84
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/1PARAMMYL-8B-ModelStock
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 14.28
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/1PARAMMYL-8B-ModelStock
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 33.34
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Youlln/1PARAMMYL-8B-ModelStock
name: Open LLM Leaderboard
1PARAMMYL-8B-ModelStock
1PARAMMYL-8B-ModelStock is a merge of the following models using LazyMergekit:
🧩 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
💻 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 |