ultra0
ultra0 is a merge of the following models using LazyMergekit:
🧩 Configuration
slices:
- sources:
- layer_range: [0, 24]
model: starsnatched/MemGPT-2B
parameters:
density: [1, 0.7, 0.1] # density gradient
weight: 1.0
- layer_range: [0, 24]
model: liminerity/binarized-ingotrix-slerp-7b
parameters:
density: 0.33
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: dare_ties
base_model: starsnatched/MemGPT-2B
parameters:
normalize: true
int8_mask: true
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "liminerity/ultra0"
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. | 44.32 |
| AI2 Reasoning Challenge (25-Shot) | 41.47 |
| HellaSwag (10-Shot) | 68.02 |
| MMLU (5-Shot) | 33.37 |
| TruthfulQA (0-shot) | 41.49 |
| Winogrande (5-shot) | 65.51 |
| GSM8k (5-shot) | 16.07 |