What are the hardware requirements for Openbuddy Llama3 8B V21.1 8K GGUF?

Openbuddy Llama3 8B V21.1 8K GGUF requires approximately 3.2 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Openbuddy Llama3 8B V21.1 8K GGUF and how large is it?

Openbuddy Llama3 8B V21.1 8K GGUF is developed by JamePeng2023, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Openbuddy Llama3 8B V21.1 8K GGUF perform on standard benchmarks?

Openbuddy Llama3 8B V21.1 8K GGUF has the following published scores: MMLU 63.8. Compare against reference models on this page or on the LLM Explorer leaderboards.

Openbuddy Llama3 8B V21.1 8K GGUF by JamePeng2023 — VRAM 3.2GB, 8K context

Name: Openbuddy Llama3 8B V21.1 8K GGUF
Author: JamePeng2023

Openbuddy Llama3 8B V21.1 8K GGUF is an open-source language model by JamePeng2023. Features: 8b LLM, VRAM: 3.2GB, Context: 8K, License: other, Quantized, LLM Explorer Score: 0.13, Arc: 57.4, HellaSwag: 78.7, MMLU: 63.8, GSM8K: 61.2.

Autotrain compatible Conversational En Endpoints compatible Ext 8k Ggml Gguf Llama Llama-3 Q2 Quantized Region:us Zh

Model Card on HF 🤗: https://huggingface.co/JamePeng2023/Openbuddy-Llama3-8b-v21.1-8k-GGUF

Openbuddy Llama3 8B V21.1 8K GGUF Parameters and Internals

Model Type

text generation, multilingual chatbot

Use Cases

Areas:

multilingual chatbot, text generation

Applications:

chatbot interactions, multilingual communication

Primary Use Cases:

multilingual conversational agents

Limitations:

critical or high-stakes scenarios, medical fields, financial decisions, legal decisions

Considerations:

Users should be aware of potential risks and limiting factors when using this model.

Additional Notes

This model is built with Meta Llama 3 and is not related to GPT or OpenAI.

Supported Languages

en (English), zh (Chinese)

Input Output

Input Format:

<|role|>...<|end|> format for system, user, and assistant interactions

Accepted Modalities:

text

Output Format:

textual responses

Performance Tips:

Guidelines emphasize using a fast tokenizer from transformers for better performance.

LLM Name	Openbuddy Llama3 8B V21.1 8K GGUF
Repository 🤗	https://huggingface.co/JamePeng2023/Openbuddy-Llama3-8b-v21.1-8k-GGUF
Base Model(s)	OpenBuddy/openbuddy-llama3-8b-v21.1-8k OpenBuddy/openbuddy-llama3-8b-v21.1-8k
Model Size	8b
Required VRAM	3.2 GB
Updated	2025-02-16
Maintainer	JamePeng2023
Model Type	llama
Model Files	3.2 GB 4.0 GB 4.9 GB 5.7 GB
Supported Languages	zh en
GGML Quantization	Yes
GGUF Quantization	Yes
Context Length	8k
Quantization Type	gguf\|ggml\|q2\|q4_k\|q5_k
Model Architecture	LlamaForCausalLM
License	other
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|pad0\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Openbuddy Llama3 8B V21.1 8K 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 Llama3 8B V21.1 8K GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...del Llama 3.1 8B Instruct 4bit	128K / 16.1 GB	25	0
...AI Korean Llama 3.1 Sft DPO 8B	128K / 16.1 GB	288	7
...orean Llama3.1 Sft Rlhf DPO 8B	128K / 16.1 GB	94	3
Fp3 Llama	128K / 8.5 GB	33	0
...Ko Llama3 Instruct DPO 8B Base	8K / 16.1 GB	457	0
... Korean Llama3 Sft DPO 8B Base	8K / 16.1 GB	41	0
...Llama 3 8B Instruct Fine Tuned	8K / 18.8 GB	21	0
Corrector Llama3 Merged	8K / 16.1 GB	20	0
Llama 3 8B Instruct Chinese	8K / 16.1 GB	459	34
...ma 3 Verus 8 Epochs Revision 1	8K / 16.1 GB	110	1

Note: green Score (e.g. "73.2") means that the model is better than JamePeng2023/Openbuddy-Llama3-8b-v21.1-8k-GGUF.