models:-model:timpal0l/Mistral-7B-v0.1-flashback-v2# No parameters necessary for base model-model:mlabonne/NeuralBeagle14-7Bparameters:density:0.53weight:0.6merge_method:dare_tiesbase_model:timpal0l/Mistral-7B-v0.1-flashback-v2parameters:int8_mask:truedtype:bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "birgermoell/NeuralBeagle-Flashback-dare-ties"
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"])
Runs of birgermoell NeuralBeagle-Flashback-dare-ties on huggingface.co
17
Total runs
0
24-hour runs
0
3-day runs
-1
7-day runs
5
30-day runs
More Information About NeuralBeagle-Flashback-dare-ties huggingface.co Model
NeuralBeagle-Flashback-dare-ties huggingface.co
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NeuralBeagle-Flashback-dare-ties install url in huggingface.co: