What are the hardware requirements for DeepSeek 67B MMIQC?

DeepSeek 67B MMIQC requires approximately 135 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed DeepSeek 67B MMIQC and how large is it?

DeepSeek 67B MMIQC is developed by Vivacem, 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 67B MMIQC?

DeepSeek 67B MMIQC is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek 67B MMIQC by Vivacem — VRAM 135GB, 4K context

Name: DeepSeek 67B MMIQC
Author: Vivacem

DeepSeek 67B MMIQC is an open-source language model by Vivacem. Features: 67b LLM, VRAM: 135GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.1.

Arxiv:2401.09003 Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Vivacem/DeepSeek-67B-MMIQC

DeepSeek 67B MMIQC Parameters and Internals

Training Details

Data Sources:

https://huggingface.co/datasets/Vivacem/MMIQC

Methodology:

fine-tuning

LLM Name	DeepSeek 67B MMIQC
Repository 🤗	https://huggingface.co/Vivacem/DeepSeek-67B-MMIQC
Model Size	67b
Required VRAM	135 GB
Updated	2026-05-28
Maintainer	Vivacem
Model Type	llama
Model Files	4.8 GB: 1-of-28 4.9 GB: 2-of-28 4.8 GB: 3-of-28 4.9 GB: 4-of-28 4.8 GB: 5-of-28 4.9 GB: 6-of-28 4.8 GB: 7-of-28 4.9 GB: 8-of-28 4.8 GB: 9-of-28 4.9 GB: 10-of-28 4.8 GB: 11-of-28 4.9 GB: 12-of-28 4.8 GB: 13-of-28 4.9 GB: 14-of-28 4.8 GB: 15-of-28 4.9 GB: 16-of-28 4.8 GB: 17-of-28 4.9 GB: 18-of-28 4.8 GB: 19-of-28 4.9 GB: 20-of-28 4.8 GB: 21-of-28 4.9 GB: 22-of-28 4.8 GB: 23-of-28 4.9 GB: 24-of-28 4.8 GB: 25-of-28 4.9 GB: 26-of-28 4.8 GB: 27-of-28 4.1 GB: 28-of-28
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.2
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400
Torch Data Type	bfloat16

Rank the DeepSeek 67B MMIQC capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to DeepSeek 67B MMIQC

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Llm 67B Chat	4K / 135 GB	1034	207
...penbuddy Deepseek 67B V18.1 4K	4K / 135 GB	8526	1
Deepseek Llm 67B Base	4K / 135 GB	9029	130
...penbuddy Deepseek 67B V15.3 4K	4K / 135 GB	6	1
...penbuddy Deepseek 67B V15 Base	4K / 135 GB	94	0
Openbuddy Deepseek 67B V15.2	4K / 135 GB	106	10
Openbuddy Deepseek 67B V15.1	4K / 135 GB	98	1
...penbuddy Deepseek 67B V15.3 4K	4K / 135 GB	11	1
Deepmoney 67B Chat	4K / 135 GB	20	23
...67B Spicy 3.1 1 5.0bpw H6 EXL2	4K / 43.7 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than Vivacem/DeepSeek-67B-MMIQC.