What are the hardware requirements for Mixtral Smol 400M?

Mixtral Smol 400M requires approximately 25.1 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mixtral Smol 400M and how large is it?

Mixtral Smol 400M is developed by amazingvince, a model with 400m 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 Mixtral Smol 400M?

Mixtral Smol 400M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mixtral Smol 400M by amazingvince — VRAM 25.1GB, 4K context

Name: Mixtral Smol 400M
Author: amazingvince

Mixtral Smol 400M is an open-source language model by amazingvince. Features: 400m LLM, VRAM: 25.1GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.1.

Conversational Endpoints compatible Mixtral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/amazingvince/mixtral-smol-400m

Mixtral Smol 400M Parameters and Internals

LLM Name	Mixtral Smol 400M
Repository 🤗	https://huggingface.co/amazingvince/mixtral-smol-400m
Model Size	400m
Required VRAM	25.1 GB
Updated	2026-07-25
Maintainer	amazingvince
Model Type	mixtral
Model Files	5.0 GB: 1-of-2 4.9 GB: 1-of-4 3.8 GB: 2-of-2 5.0 GB: 2-of-4 5.0 GB: 3-of-4 1.4 GB: 4-of-4 0.0 GB
Model Architecture	MixtralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float32

Rank the Mixtral Smol 400M 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 Mixtral Smol 400M

Best Alternatives	Context / RAM	Downloads	Likes
Mixtral GQA 400M V2	4K / 4.3 GB	45	1
Mixtral GQA 400M V4.4096	4K / 8.1 GB	8	2

Note: green Score (e.g. "73.2") means that the model is better than amazingvince/mixtral-smol-400m.