Views
No views yet
1models:
2 - model: mistralai/Mistral-7B-v0.1
3 # no parameters necessary for base model
4 - model: cognitivecomputations/dolphin-2.6-mistral-7b
5 parameters:
6 density: 0.5
7 weight: 0.5
8 - model: Open-Orca/Mistral-7B-OpenOrca
9 parameters:
10 density: 0.5
11 weight:
12 - filter: mlp
13 value: 0.5
14 - value: 0
15merge_method: ties
16base_model: mistralai/Mistral-7B-v0.1
17parameters:
18 normalize: true
19dtype: float161!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "gauthamk28/doltral-7B-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"])