models:-model:liminerity/M7-7b# No parameters necessary for base model-model:Kukedlc/NeuralSynthesis-7B-v0.3parameters:density:0.53weight:0.6merge_method:dare_tiesbase_model:liminerity/M7-7bparameters:int8_mask:truedtype:bfloat16random_seed:0
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "automerger/M7Neuralsynthesis-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"])
Runs of automerger M7Neuralsynthesis-7B on huggingface.co
9
Total runs
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24-hour runs
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3-day runs
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7-day runs
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30-day runs
More Information About M7Neuralsynthesis-7B huggingface.co Model
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automerger M7Neuralsynthesis-7B online free url in huggingface.co:
M7Neuralsynthesis-7B is an open source model from GitHub that offers a free installation service, and any user can find M7Neuralsynthesis-7B on GitHub to install. At the same time, huggingface.co provides the effect of M7Neuralsynthesis-7B install, users can directly use M7Neuralsynthesis-7B installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
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