What are the hardware requirements for Openbuddy Deepseek 67B V15.3 4K?

Openbuddy Deepseek 67B V15.3 4K 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 Openbuddy Deepseek 67B V15.3 4K and how large is it?

Openbuddy Deepseek 67B V15.3 4K is developed by OpenBuddy, a model with 67b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Openbuddy Deepseek 67B V15.3 4K perform on standard benchmarks?

Openbuddy Deepseek 67B V15.3 4K has the following published scores: MMLU 70.38. Compare against reference models on this page or on the LLM Explorer leaderboards.

Openbuddy Deepseek 67B V15.3 4K by OpenBuddy — VRAM 135GB, 4K context

Name: Openbuddy Deepseek 67B V15.3 4K
Author: OpenBuddy

Openbuddy Deepseek 67B V15.3 4K is an open-source language model by OpenBuddy. Features: 67b LLM, VRAM: 135GB, Context: 4K, License: other, LLM Explorer Score: 0.11, Arc: 67.6, HellaSwag: 85.2, MMLU: 70.4, GSM8K: 67.2.

Autotrain compatible De En Fi Fr It Ja Ko Llama Region:us Ru Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/OpenBuddy/openbuddy-deepseek-67b-v15.3-4k

Openbuddy Deepseek 67B V15.3 4K Parameters and Internals

Model Type

text-generation

Additional Notes

OpenBuddy is provided "as-is" without any warranty of any kind, either express or implied, including, but not limited to, the implied warranties of merchantability, fitness for a particular purpose, and non-infringement.

Supported Languages

languages_supported (zh, en, fr, de, ja, ko, it, ru, fi), additional_info (multilingual)

LLM Name	Openbuddy Deepseek 67B V15.3 4K
Repository 🤗	https://huggingface.co/OpenBuddy/openbuddy-deepseek-67b-v15.3-4k
Model Size	67b
Required VRAM	135 GB
Updated	2025-09-23
Maintainer	OpenBuddy
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
Supported Languages	zh en fr de ja ko it ru fi
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.38.0.dev0
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 Openbuddy Deepseek 67B V15.3 4K 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 V15.3 4K

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 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
DeepSeek 67B MMIQC	4K / 135 GB	9	1
...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 OpenBuddy/openbuddy-deepseek-67b-v15.3-4k.