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

Openbuddy Deepseek 67B V15 Base AWQ requires approximately 37.5 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 Base AWQ and how large is it?

Openbuddy Deepseek 67B V15 Base AWQ 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 AWQ?

Openbuddy Deepseek 67B V15 Base AWQ 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 AWQ by TheBloke — VRAM 37.5GB, 4K context

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

Openbuddy Deepseek 67B V15 Base AWQ is an open-source language model by TheBloke. Features: 67b LLM, VRAM: 37.5GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.1.

4-bit Awq Base model:openbuddy/openbuddy... Base model:quantized:openbuddy... De En Fi Fr It Ja Ko Llama Quantized Region:us Ru Safetensors Sharded Tensorflow Zh

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

Openbuddy Deepseek 67B V15 Base AWQ Parameters and Internals

Model Type

deepseek

Additional Notes

This is a part of the Base-series models, trained utilizing approximately 50% of conversational data. It embodies cognitive and dialogue capabilities parallel to the fully-trained OpenBuddy models, yet it hasn’t been extensively fine-tuned for generic conversational tasks.

Supported Languages

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

LLM Name	Openbuddy Deepseek 67B V15 Base AWQ
Repository 🤗	https://huggingface.co/TheBloke/openbuddy-deepseek-67b-v15-base-AWQ
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	37.5 GB
Updated	2026-07-18
Maintainer	TheBloke
Model Type	deepseek
Model Files	10.0 GB: 1-of-4 9.9 GB: 2-of-4 10.0 GB: 3-of-4 7.6 GB: 4-of-4
Supported Languages	zh en fr de ja ko it ru fi
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	other
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	float16

Rank the Openbuddy Deepseek 67B V15 Base AWQ 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

Best Alternatives to Openbuddy Deepseek 67B V15 Base AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Llm 67B Chat AWQ	4K / 37.5 GB	129	5
Deepseek Llm 67B Base AWQ	4K / 37.5 GB	18	2
...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
...ddy Deepseek 67B V18.1 4K Gptq	4K / 37.6 GB	8	2

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