What are the hardware requirements for Jetmoe 8B Chat?

Jetmoe 8B Chat requires approximately 17 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Jetmoe 8B Chat and how large is it?

Jetmoe 8B Chat is developed by jetmoe, 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 Jetmoe 8B Chat?

Jetmoe 8B Chat is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Jetmoe 8B Chat by jetmoe — VRAM 17GB

Name: Jetmoe 8B Chat
Author: jetmoe

Jetmoe 8B Chat is an open-source language model by jetmoe. Features: 8b LLM, VRAM: 17GB, License: apache-2.0, LLM Explorer Score: 0.12.

Arxiv:2404.07413 Alignment-handbook Base model:finetune:jetmoe/jet... Base model:jetmoe/jetmoe-8b Conversational Custom code Dataset:huggingfaceh4/airoboro... Dataset:huggingfaceh4/capybara Dataset:huggingfaceh4/code-fee... Dataset:huggingfaceh4/orca-mat... Dataset:huggingfaceh4/systemch... Dataset:huggingfaceh4/ultracha... Generated from trainer Jetmoe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jetmoe/jetmoe-8b-chat

Jetmoe 8B Chat Parameters and Internals

Model Type

text generation

Additional Notes

JetMoE-8B is fully open-sourced and academia-friendly; uses public datasets and can be finetuned on consumer-grade hardware.

Training Details

Data Sources:

HuggingFaceH4/ultrachat_200k, HuggingFaceH4/airoboros-3.2, HuggingFaceH4/Code-Feedback, HuggingFaceH4/orca-math-word-problems-200k, HuggingFaceH4/SystemChat, HuggingFaceH4/capybara

Data Volume:

1.25T tokens

Methodology:

MiniCPM's two-phases training method with a mixture of open-source datasets.

Training Time:

2 weeks on a 96×H100 GPU cluster

Hardware Used:

96×H100 GPU cluster

Model Architecture:

24 blocks, with Mixture of Attention heads (MoA) and Mixture of MLP Experts (MoE), 8 experts with 2 activated for each input token.

LLM Name	Jetmoe 8B Chat
Repository 🤗	https://huggingface.co/jetmoe/jetmoe-8b-chat
Base Model(s)	Jetmoe 8B jetmoe/jetmoe-8b
Model Size	8b
Required VRAM	17 GB
Updated	2026-08-07
Maintainer	jetmoe
Model Type	jetmoe
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.9 GB: 3-of-4 2.3 GB: 4-of-4
Model Architecture	JetMoEForCausalLM
License	apache-2.0
Model Max Length	4096
Is Biased	1
Padding Token	</s>
Vocabulary Size	32000
Activation Function	silu

Rank the Jetmoe 8B Chat 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 Jetmoe 8B Chat

Best Alternatives	Context / RAM	Downloads	Likes
Jetmoe 8B	0K / 17 GB	3917	253
Jetmoe 8B Sft	0K / 17 GB	9	6

Note: green Score (e.g. "73.2") means that the model is better than jetmoe/jetmoe-8b-chat.