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1
2# Thanks to nruaif for suggesting MeowMix merge part.
3# Merge CJK into migtissera/Tess-3-Llama-3.1-70B
4
5models:
6 - model: migtissera/Tess-3-Llama-3.1-70B
7 parameters:
8 density: 0.7
9 weight:
10 - value: 0.75
11 - model: HODACHI/Llama-3.1-70B-EZO-1.1-it
12 parameters:
13 density: 0.2
14 weight:
15 - value: [1, 0.75, 0.5, 0.25, 0, 0, 0, 0, 0.0, 0.5, 1]
16 - model: shenzhi-wang/Llama3.1-70B-Chinese-Chat
17 parameters:
18 density: 0.2
19 weight:
20 - value: [1, 0.75, 0.5, 0.25, 0, 0, 0, 0, 0.0, 0.5, 1]
21 - model: Saxo/Linkbricks-Horizon-AI-Korean-llama3.1-sft-dpo-70B
22 parameters:
23 density: 0.2
24 weight:
25 - value: [1, 0.75, 0.5, 0.25, 0, 0, 0, 0, 0.0, 0.5, 1]
26
27merge_method: ties
28base_model: migtissera/Tess-3-Llama-3.1-70B
29parameters:
30 normalize: true
31dtype: bfloat161!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "KaraKaraWitch/L3.1-70b-MeowMix"
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"])