Deepseek-Llm

Deepseek Llm 67B Base - Details

Last update on 2025-05-29

Deepseek Llm 67B Base, developed by Deepseek, is a large language model with 67 billion parameters. It operates under the Deepseek License Agreement (DEEPSEEK-LICENSE) and is designed to excel in multilingual tasks, particularly in English and Chinese comprehension.

Description of Deepseek Llm 67B Base

Deepseek Llm 67B Base is an advanced language model with 67 billion parameters, trained from scratch on a vast dataset of 2 trillion tokens in English and Chinese. It includes two versions: 7B and 67B, with the latter offering enhanced capabilities. The model incorporates Grouped-Query Attention, a technique designed to improve efficiency and performance in handling complex linguistic tasks.

Parameters & Context Length of Deepseek Llm 67B Base

67b 4k

Deepseek Llm 67B Base has 67 billion parameters, placing it in the large model category, which enables it to handle complex tasks but requires significant computational resources. Its 4k context length falls into the short context range, making it suitable for concise tasks but limiting its ability to process extended texts efficiently. The parameter size and context length reflect a balance between performance and resource demands, ideal for applications prioritizing depth over extensive text handling.

  • Parameter Size: 67b
  • Context Length: 4k

Possible Intended Uses of Deepseek Llm 67B Base

research model info commercial applications

Deepseek Llm 67B Base is a versatile model with 67 billion parameters and a focus on English and Chinese. Its monolingual design and 4k context length make it suitable for a range of possible uses, though these require careful evaluation. Possible applications include supporting research initiatives by analyzing large datasets or generating hypotheses, enabling commercial applications such as content creation or customer interaction, and facilitating text generation for creative or informational purposes. These possible uses may vary depending on specific requirements and constraints, and further investigation is necessary to determine their effectiveness.

  • research
  • commercial applications
  • text generation

Possible Applications of Deepseek Llm 67B Base

research tool text generation multilingual assistant large language model monolingual model

Deepseek Llm 67B Base is a large-scale language model with 67 billion parameters and a focus on English and Chinese, making it a possible tool for tasks requiring deep linguistic understanding. Possible applications include generating high-quality text for creative or informational purposes, supporting research by analyzing complex datasets, enabling commercial applications such as automated content creation, and assisting in language-specific tasks like translation or summarization. These possible uses may vary depending on the context and require thorough evaluation to ensure alignment with specific goals. Possible applications in these areas could benefit from the model’s monolingual design and 4k context length, but each scenario must be carefully assessed before deployment.

  • research
  • commercial applications
  • text generation
  • language-specific tasks

Quantized Versions & Hardware Requirements of Deepseek Llm 67B Base

32 ram 48 vram

Deepseek Llm 67B Base with the q4 quantization offers a possible balance between precision and performance, requiring multiple GPUs with at least 48GB VRAM total for deployment. This setup demands 32GB+ system memory and adequate cooling, as the model’s 67 billion parameters exceed standard single-GPU capabilities. Possible applications for this version may vary based on hardware availability and specific use cases.

  • fp16, q2, q3, q4, q5, q6, q8

Conclusion

Deepseek Llm 67B Base is a large language model with 67 billion parameters, developed by Deepseek, and licensed under the Deepseek License Agreement (DEEPSEEK-LICENSE), designed for multilingual tasks with a 4k context length and optimized for complex linguistic processing. Its monolingual focus on English and Chinese and resource-intensive nature make it suitable for specialized applications requiring depth over broad scalability.

References

Huggingface Model Page
Ollama Model Page

Maintainer
Parameters & Context Length
  • Parameters: 67b
  • Context Length: 4K
Statistics
  • Huggingface Likes: 122
  • Huggingface Downloads: 6K
Intended Uses
  • Research
  • Commercial Applications
  • Text Generation
Languages
  • English
  • Chinese