models:-model:RJuro/munin-neuralbeagle-7b# No parameters necessary for base model-model:birgermoell/Flashback-Bellmanparameters:density:0.53weight:0.6merge_method:dare_tiesbase_model:RJuro/munin-neuralbeagle-7bparameters:int8_mask:truedtype:bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "birgermoell/Munin-NeuralBeagle-Flashback-Bellman"
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 Munin-NeuralBeagle-Flashback-Bellman on huggingface.co
16
Total runs
-2
24-hour runs
1
3-day runs
2
7-day runs
6
30-day runs
More Information About Munin-NeuralBeagle-Flashback-Bellman huggingface.co Model
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Munin-NeuralBeagle-Flashback-Bellman install url in huggingface.co: