models:-model:Kukedlc/NeuralSirKrishna-7b# No parameters necessary for base model-model:WizardLM/WizardMath-7B-V1.1parameters:density:0.66weight:0.2-model:mlabonne/NeuralDaredevil-7Bparameters:density:0.55weight:0.2-model:Kukedlc/Neural4gsm8kparameters:density:0.55weight:0.2-model:Eric111/Mayoparameters:density:0.44weight:0.2-model:Kukedlc/NeuralSirKrishna-7bparameters:density:0.66weight:0.2merge_method:dare_tiesbase_model:Kukedlc/NeuralSirKrishna-7bparameters:int8_mask:truedtype:bfloat16
🌳 Model Family Tree
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Kukedlc/NeuralMaths-Experiment-7b"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
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