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1models:
2 - model: Gille/StrangeMerges_45-7B-dare_ties
3 parameters:
4 weight: 0.4
5 density: 0.53
6 - model: kettleguts/zephyr-7b-beta_sparse05
7 parameters:
8 weight: 0.4
9 density: 0.53
10 - model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
11 parameters:
12 weight: 0.2
13 density: 0.53
14base_model: liminerity/M7-7b
15merge_method: dare_ties
16dtype: bfloat161!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "Gille/StrangeMerges_46-7B-dare_ties"
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. | 69.96 |
| AI2 Reasoning Challenge (25-Shot) | 67.24 |
| HellaSwag (10-Shot) | 86.40 |
| MMLU (5-Shot) | 62.17 |
| TruthfulQA (0-shot) | 65.17 |
| Winogrande (5-shot) | 79.48 |
| GSM8k (5-shot) | 59.29 |