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1models:
2 - model: prometheus-eval/prometheus-8x7b-v2.0
3 parameters:
4 weight: 1.0
5 - model: mistralai/Mixtral-8x7B-Instruct-v0.1
6 parameters:
7 weight: 1.0
8merge_method: linear
9dtype: bfloat161!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "vicgalle/test-merge-3"
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. | 24.61 |
| IFEval (0-Shot) | 57.44 |
| BBH (3-Shot) | 34.65 |
| MATH Lvl 5 (4-Shot) | 8.31 |
| GPQA (0-shot) | 7.83 |
| MuSR (0-shot) | 9.59 |
| MMLU-PRO (5-shot) | 29.82 |