What are the hardware requirements for Openbuddy Deepseek 67B V18.1 4K Gptq?

Openbuddy Deepseek 67B V18.1 4K Gptq requires approximately 37.6 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 V18.1 4K Gptq and how large is it?

Openbuddy Deepseek 67B V18.1 4K Gptq 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 V18.1 4K Gptq perform on standard benchmarks?

Openbuddy Deepseek 67B V18.1 4K Gptq has the following published scores: MMLU 70.58. Compare against reference models on this page or on the LLM Explorer leaderboards.

Openbuddy Deepseek 67B V18.1 4K Gptq by OpenBuddy — VRAM 37.6GB, 4K context

Name: Openbuddy Deepseek 67B V18.1 4K Gptq
Author: OpenBuddy

Openbuddy Deepseek 67B V18.1 4K Gptq is an open-source language model by OpenBuddy. Features: 67b LLM, VRAM: 37.6GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.12, Arc: 67.8, HellaSwag: 84.7, MMLU: 70.6, GSM8K: 69.2.

4-bit 4bit Conversational De En Fi Fr Gptq It Ja Ko Llama Quantized Region:us Ru Zh

Model Card on HF 🤗: https://huggingface.co/OpenBuddy/openbuddy-deepseek-67b-v18.1-4k-gptq

Openbuddy Deepseek 67B V18.1 4K Gptq 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 V18.1 4K Gptq
Repository 🤗	https://huggingface.co/OpenBuddy/openbuddy-deepseek-67b-v18.1-4k-gptq
Base Model(s)	OpenBuddy/openbuddy-deepseek-67b-v18.1-4k OpenBuddy/openbuddy-deepseek-67b-v18.1-4k
Model Size	67b
Required VRAM	37.6 GB
Updated	2026-07-27
Maintainer	OpenBuddy
Model Type	llama
Model Files	37.6 GB
Supported Languages	zh en fr de ja ko it ru fi
GPTQ Quantization	Yes
Quantization Type	gptq\|4bit
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.38.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<\|pad\|>
Vocabulary Size	102400
Torch Data Type	float16

Rank the Openbuddy Deepseek 67B V18.1 4K Gptq 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 V18.1 4K Gptq

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...ddy Deepseek 67B V15 Base GPTQ	4K / 36.3 GB	5	0
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...67B Spicy 3.1 1 5.0bpw H6 EXL2	4K / 43.7 GB	5	1
...ek Llm 67B Chat 2.4bpw H6 EXL2	4K / 22.2 GB	4	2
...ek Llm 67B Chat 3.0bpw H6 EXL2	4K / 27.1 GB	4	1
...k Llm 67B Chat 2.65bpw H6 EXL2	4K / 24.2 GB	3	1
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

Note: green Score (e.g. "73.2") means that the model is better than OpenBuddy/openbuddy-deepseek-67b-v18.1-4k-gptq.