What are the hardware requirements for Motif 3 FP8 Dynamic?

Motif 3 FP8 Dynamic requires approximately 46.4 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Motif 3 FP8 Dynamic and how large is it?

Motif 3 FP8 Dynamic is developed by axteam, a model with 314.8b 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 Motif 3 FP8 Dynamic?

Motif 3 FP8 Dynamic is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Motif 3 FP8 Dynamic by axteam — VRAM 46.4GB, 256K context

Name: Motif 3 FP8 Dynamic
Author: axteam

Motif 3 FP8 Dynamic is an open-source language model by axteam. Features: 314.8b LLM, VRAM: 46.4GB, Context: 256K, License: mit, LLM Explorer Score: 0.31.

Base model:motif-technologies/... Base model:quantized:motif-tec... Compressed-tensors Conversational Custom code Feature-extraction Fp8 Motif Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/axteam/Motif-3-FP8-dynamic

Motif 3 FP8 Dynamic Parameters and Internals

LLM Name	Motif 3 FP8 Dynamic
Repository 🤗	https://huggingface.co/axteam/Motif-3-FP8-dynamic
Base Model(s)	Motif 3 Motif-Technologies/Motif-3
Model Size	314.8b
Required VRAM	46.4 GB
Updated	2026-11-01
Maintainer	axteam
Model Type	Motif
Model Files	2.2 GB: 1-of-155 0.2 GB: 2-of-155 2.0 GB: 3-of-155 0.1 GB: 4-of-155 2.0 GB: 5-of-155 0.1 GB: 6-of-155 2.0 GB: 7-of-155 0.1 GB: 8-of-155 2.0 GB: 9-of-155 0.1 GB: 10-of-155 2.0 GB: 11-of-155 0.1 GB: 12-of-155 2.0 GB: 13-of-155 0.1 GB: 14-of-155 2.0 GB: 15-of-155 0.1 GB: 16-of-155 2.0 GB: 17-of-155 0.1 GB: 18-of-155 2.0 GB: 19-of-155 0.1 GB: 20-of-155 2.0 GB: 21-of-155 0.1 GB: 22-of-155 2.0 GB: 23-of-155 0.1 GB: 24-of-155 2.0 GB: 25-of-155 0.1 GB: 26-of-155 2.0 GB: 27-of-155 0.1 GB: 28-of-155 2.0 GB: 29-of-155 0.1 GB: 30-of-155 2.0 GB: 31-of-155 0.1 GB: 32-of-155 2.0 GB: 33-of-155 0.1 GB: 34-of-155 2.0 GB: 35-of-155 0.1 GB: 36-of-155 2.0 GB: 37-of-155 0.1 GB: 38-of-155 2.0 GB: 39-of-155 0.1 GB: 40-of-155 2.0 GB: 41-of-155 0.1 GB: 42-of-155 2.0 GB: 43-of-155
Model Architecture	MotifForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	5.7.0
Vocabulary Size	220160

Rank the Motif 3 FP8 Dynamic 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 Motif 3 FP8 Dynamic

Best Alternatives	Context / RAM	Downloads	Likes
Motif 3 Beta	256K / 91 GB	4548	208
Motif 3	256K / 90.8 GB	0	65
Motif 3 Base	256K / 95 GB	0	18

Note: green Score (e.g. "73.2") means that the model is better than axteam/Motif-3-FP8-dynamic.