What are the hardware requirements for Openbuddy Llama 65B V8 Bf16?

Openbuddy Llama 65B V8 Bf16 requires approximately 130.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Openbuddy Llama 65B V8 Bf16 and how large is it?

Openbuddy Llama 65B V8 Bf16 is developed by OpenBuddy, a model with 65b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Openbuddy Llama 65B V8 Bf16 perform on standard benchmarks?

Openbuddy Llama 65B V8 Bf16 has the following published scores: MMLU 62.01. Compare against reference models on this page or on the LLM Explorer leaderboards.

Openbuddy Llama 65B V8 Bf16 by OpenBuddy — VRAM 130.6GB, 2K context

Name: Openbuddy Llama 65B V8 Bf16
Author: OpenBuddy

Openbuddy Llama 65B V8 Bf16 is an open-source language model by OpenBuddy. Features: 65b LLM, VRAM: 130.6GB, Context: 2K, LLM Explorer Score: 0.09, Arc: 62.8, HellaSwag: 83.6, MMLU: 62, GSM8K: 43.4.

De En Endpoints compatible Fr It Ja Ko Llama Pytorch Region:us Ru Sharded Zh

Model Card on HF 🤗: https://huggingface.co/OpenBuddy/openbuddy-llama-65b-v8-bf16

Openbuddy Llama 65B V8 Bf16 Parameters and Internals

Model Type

text-generation

Additional Notes

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.

Supported Languages

zh (high proficiency), en (high proficiency), fr (high proficiency), de (high proficiency), ja (high proficiency), ko (high proficiency), it (high proficiency), ru (high proficiency)

LLM Name	Openbuddy Llama 65B V8 Bf16
Repository 🤗	https://huggingface.co/OpenBuddy/openbuddy-llama-65b-v8-bf16
Model Size	65b
Required VRAM	130.6 GB
Updated	2026-07-25
Maintainer	OpenBuddy
Model Type	llama
Model Files	10.0 GB: 1-of-14 9.7 GB: 2-of-14 9.7 GB: 3-of-14 9.7 GB: 4-of-14 9.7 GB: 5-of-14 9.7 GB: 6-of-14 9.7 GB: 7-of-14 9.7 GB: 8-of-14 9.7 GB: 9-of-14 9.7 GB: 10-of-14 9.7 GB: 11-of-14 9.7 GB: 12-of-14 9.7 GB: 13-of-14 4.2 GB: 14-of-14
Supported Languages	zh en fr de ja ko it ru
Model Architecture	LlamaForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.31.0
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	37632
Torch Data Type	bfloat16

Rank the Openbuddy Llama 65B V8 Bf16 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 Llama 65B V8 Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Kiyo 65M	2K / 0.1 GB	1456	2
Lite Oute 1 65M	2K / 0.3 GB	23	12
Lite Oute 1 65M Instruct	2K / 0.3 GB	15	12
StableBeluga1 Delta	2K / 130.4 GB	146	57
Airoboros 65B Gpt4 M2.0	2K / 130.4 GB	850	0
Airoboros 65B Gpt4 2.0	2K / 130.4 GB	435	0
UltraLM 65B	2K / 130.4 GB	348	9
Airoboros 65B Gpt4 1.4	2K / 130.4 GB	163	17
Llama 1 65B Hf	2K / 130.4 GB	14	1
Llama 65B Instruct	2K / 130.4 GB	198	15

Note: green Score (e.g. "73.2") means that the model is better than OpenBuddy/openbuddy-llama-65b-v8-bf16.