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1models:
2 - model: MiniMoog/Mergerix-7b-v0.3
3 - model: automerger/Ognoexperiment27Multi_verse_model-7B
4 - model: AurelPx/Percival_01-7b-slerp
5 - model: automerger/YamshadowExperiment28-7B
6merge_method: model_stock
7base_model: automerger/YamshadowExperiment28-7B
8dtype: bfloat16
91!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "Kukedlc/NeuralSynthesis-7B-v0.1"
8messages = [{"role": "user", "content": "What is a large language model?"}]
9
10tokenizer = AutoTokenizer.from_pretrained(model)
11prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
12pipeline = transformers.pipeline(
13 "text-generation",
14 model=model,
15 torch_dtype=torch.float16,
16 device_map="auto",
17)
18
19outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
20print(outputs[0]["generated_text"])| Metric | Value |
|---|---|
| Avg. | 76.80 |
| AI2 Reasoning Challenge (25-Shot) | 73.04 |
| HellaSwag (10-Shot) | 89.18 |
| MMLU (5-Shot) | 64.37 |
| TruthfulQA (0-shot) | 78.15 |
| Winogrande (5-shot) | 85.24 |
| GSM8k (5-shot) | 70.81 |