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Growth Rate:
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Sponsored by
APIMaster
deepseek-ai / deepseek-moe-16b-base
Model's Last Updated: January 12 2024
text-generation
Introduction of deepseek-moe-16b-base
Model Details of deepseek-moe-16b-base
[🏠Homepage] | [🤖 Chat with DeepSeek LLM] | [Discord] | [Wechat(微信)]
1. Introduction to DeepSeekMoE
See the Introduction for more details.
2. How to Use
Here give some examples of how to use our model.
Text Completion
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig
model_name = "deepseek-ai/deepseek-moe-16b-base"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto")
model.generation_config = GenerationConfig.from_pretrained(model_name)
model.generation_config.pad_token_id = model.generation_config.eos_token_id
text = "An attention function can be described as mapping a query and a set of key-value pairs to an output, where the query, keys, values, and output are all vectors. The output is"
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs.to(model.device), max_new_tokens=100)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(result)
3. License
This code repository is licensed under the MIT License. The use of DeepSeekMoE models is subject to the Model License. DeepSeekMoE supports commercial use.
See the LICENSE-MODEL for more details.
4. Contact
If you have any questions, please raise an issue or contact us at [email protected] .
Runs of deepseek-ai deepseek-moe-16b-base on huggingface.co
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More Information About deepseek-moe-16b-base huggingface.co Model
Url of deepseek-moe-16b-base
deepseek-moe-16b-base huggingface.co Url
Provider of deepseek-moe-16b-base huggingface.co
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Updated:August 01 2026
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