What are the hardware requirements for Deepseek Llm 67B Base GGUF?

Deepseek Llm 67B Base GGUF requires approximately 28.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deepseek Llm 67B Base GGUF and how large is it?

Deepseek Llm 67B Base GGUF is developed by TheBloke, a model with 67b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Deepseek Llm 67B Base GGUF?

Deepseek Llm 67B Base GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepseek Llm 67B Base GGUF by TheBloke — VRAM 28.5GB

Name: Deepseek Llm 67B Base GGUF
Author: TheBloke

Deepseek Llm 67B Base GGUF is an open-source language model by TheBloke. Features: 67b LLM, VRAM: 28.5GB, License: other, Quantized, LLM Explorer Score: 0.11.

Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-... Gguf Quantized Region:us Yi

Model Card on HF 🤗: https://huggingface.co/TheBloke/deepseek-llm-67b-base-GGUF

Deepseek Llm 67B Base GGUF Parameters and Internals

Model Type

Supported Languages

languages_supported (English and Chinese), proficiency_level (High)

Training Details

Data Volume:

2 trillion tokens

Model Architecture:

Grouped-Query Attention

Input Output

Input Format:

{prompt}

Accepted Modalities:

text

LLM Name	Deepseek Llm 67B Base GGUF
Repository 🤗	https://huggingface.co/TheBloke/deepseek-llm-67b-base-GGUF
Model Name	Deepseek LLM 67B Base
Model Creator	DeepSeek
Base Model(s)	Deepseek Llm 67B Base deepseek-ai/deepseek-llm-67b-base
Model Size	67b
Required VRAM	28.5 GB
Updated	2026-08-01
Maintainer	TheBloke
Model Type	yi
Model Files	28.5 GB 35.6 GB 32.6 GB 29.3 GB 38.2 GB 40.4 GB 38.2 GB 46.5 GB 47.7 GB 46.5 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Deepseek Llm 67B Base GGUF capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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