What are the hardware requirements for Suzume Llama 3 8B Multilingual Orpo Borda Top75?

Suzume Llama 3 8B Multilingual Orpo Borda Top75 requires approximately 16.1 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 Suzume Llama 3 8B Multilingual Orpo Borda Top75 and how large is it?

Suzume Llama 3 8B Multilingual Orpo Borda Top75 is developed by lightblue, a model with 8b 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 Suzume Llama 3 8B Multilingual Orpo Borda Top75?

Suzume Llama 3 8B Multilingual Orpo Borda Top75 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Suzume Llama 3 8B Multilingual Orpo Borda Top75 by lightblue — VRAM 16.1GB, 8K context

Name: Suzume Llama 3 8B Multilingual Orpo Borda Top75
Author: lightblue

Suzume Llama 3 8B Multilingual Orpo Borda Top75 is an open-source language model by lightblue. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: cc-by-nc-4.0, LLM Explorer Score: 0.22.

Arxiv:2405.18952 Base model:finetune:lightblue/... Base model:lightblue/suzume-ll... Conversational Deploy:azure Endpoints compatible Generated from trainer Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top75

Suzume Llama 3 8B Multilingual Orpo Borda Top75 Parameters and Internals

Model Type

LlamaForCausalLM

Additional Notes

Model was trained using lightblue/mitsu_full_borda dataset and achieves improved MT-Bench scores on languages

Training Details

Data Sources:

lightblue/mitsu

Data Volume:

lightblue/mitsu_full_borda

Methodology:

ORPO fine-tune

Hardware Used:

multi-GPU, 4 devices

Model Architecture:

lightblue/suzume-llama-3-8B-multilingual

LLM Name	Suzume Llama 3 8B Multilingual Orpo Borda Top75
Repository 🤗	https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top75
Base Model(s)	Suzume Llama 3 8B Multilingual lightblue/suzume-llama-3-8B-multilingual
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-22
Maintainer	lightblue
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	cc-by-nc-4.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Suzume Llama 3 8B Multilingual Orpo Borda Top75 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

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Note: green Score (e.g. "73.2") means that the model is better than lightblue/suzume-llama-3-8B-multilingual-orpo-borda-top75.