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1models:
2 - model: mistralai/Mistral-7B-v0.1
3 # No parameters necessary for base model
4 - model: Kukedlc/NeuralMaxime-7B-slerp
5 #Emphasize the beginning of Vicuna format models
6 parameters:
7 weight: 0.36
8 density: 0.65
9 - model: eren23/ogno-monarch-jaskier-merge-7b
10 parameters:
11 weight: 0.34
12 density: 0.6
13 # Vicuna format
14 - model: eren23/dpo-binarized-NeutrixOmnibe-7B
15 parameters:
16 weight: 0.3
17 density: 0.6
18
19merge_method: dare_ties
20base_model: mistralai/Mistral-7B-v0.1
21parameters:
22 int8_mask: true
23dtype: bfloat16
24random_seed: 01!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "CultriX/MonaTrix-v4"
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"])