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RaduGabriel/SirUkrainian
SirUkrainian is a text generation model from RaduGabriel. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
NeuralPipe-7B-slerp is a merge of the following models using LazyMergekit: RaduGabriel/MUZD RaduGabriel/Mistral-Instruct-Ukrainian-SFT
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From the Hugging Face model README
NeuralPipe-7B-slerp is a merge of the following models using LazyMergekit:
models:
- model: RaduGabriel/MUZD
parameters:
weight: 0.3
- model: RaduGabriel/Mistral-Instruct-Ukrainian-SFT
parameters:
weight: 0.3
- model: Radu1999/MisterUkrainianDPO
parameters:
weight: 0.1
- model: CultriX/NeuralTrix-7B-dpo
parameters:
weight: 0.3
merge_method: task_arithmetic
base_model: mistralai/Mistral-7B-v0.1
dtype: bfloat16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "RaduGabriel/SirUkrainian"
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.bfloat16,
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. | 70.50 |
| AI2 Reasoning Challenge (25-Shot) | 67.32 |
| HellaSwag (10-Shot) | 85.54 |
| MMLU (5-Shot) | 63.14 |
| TruthfulQA (0-shot) | 68.74 |
| Winogrande (5-shot) | 81.53 |
| GSM8k (5-shot) | 56.71 |