What are the hardware requirements for Openbuddy Deepseek 67B V15 Base GGUF?

Openbuddy Deepseek 67B V15 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 Openbuddy Deepseek 67B V15 Base GGUF and how large is it?

Openbuddy Deepseek 67B V15 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 Openbuddy Deepseek 67B V15 Base GGUF?

Openbuddy Deepseek 67B V15 Base GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Openbuddy Deepseek 67B V15 Base GGUF by TheBloke — VRAM 28.5GB

Name: Openbuddy Deepseek 67B V15 Base GGUF
Author: TheBloke

Openbuddy Deepseek 67B V15 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:openbuddy/openbuddy... Base model:quantized:openbuddy... De Deepseek En Fi Fr Gguf It Ja Ko Quantized Region:us Ru Zh

Model Card on HF 🤗: https://huggingface.co/TheBloke/openbuddy-deepseek-67b-v15-base-GGUF

Openbuddy Deepseek 67B V15 Base GGUF Parameters and Internals

Model Type

deepseek, text-generation

Use Cases

Limitations:

All OpenBuddy models have inherent limitations and may potentially produce outputs that are erroneous, harmful, offensive, or otherwise undesirable. Users should not use these models in critical or high-stakes situations.

Considerations:

Not suitable for medical, legal, or critical applications.

Additional Notes

The model allows for further fine-tuning and deployment of specialised, domain-specific models.

Supported Languages

zh (supported), en (supported), fr (supported), de (supported), ja (supported), ko (supported), it (supported), ru (supported), fi (supported)

Training Details

Data Sources:

approximately 50% conversational data

Methodology:

This is a part of the Base-series models, trained utilizing approximately 50% of conversational data. Intended for further fine-tuning and deployment of specialised, domain-specific models.

Input Output

Input Format:

{prompt}

LLM Name	Openbuddy Deepseek 67B V15 Base GGUF
Repository 🤗	https://huggingface.co/TheBloke/openbuddy-deepseek-67b-v15-base-GGUF
Model Name	Openbuddy Deepseek 67B V15 Base
Model Creator	OpenBuddy
Base Model(s)	...penbuddy Deepseek 67B V15 Base OpenBuddy/openbuddy-deepseek-67b-v15-base
Model Size	67b
Required VRAM	28.5 GB
Updated	2026-08-07
Maintainer	TheBloke
Model Type	deepseek
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
Supported Languages	zh en fr de ja ko it ru fi
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Openbuddy Deepseek 67B V15 Base GGUF 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 Openbuddy Deepseek 67B V15 Base GGUF

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Llm 67B Base GGUF	0K / 28.5 GB	2924	3
Deepseek Llm 67B Chat GGUF	0K / 28.5 GB	2333	43

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/openbuddy-deepseek-67b-v15-base-GGUF.