What are the hardware requirements for Mistral 300M Base?

Mistral 300M Base requires approximately 0.6 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 Mistral 300M Base and how large is it?

Mistral 300M Base is developed by ce-lery, a model with 300m 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 Mistral 300M Base?

Mistral 300M Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 300M Base by ce-lery — VRAM 0.6GB, 8K context

Name: Mistral 300M Base
Author: ce-lery

Mistral 300M Base is an open-source language model by ce-lery. Features: 300m LLM, VRAM: 0.6GB, Context: 8K, LLM Explorer Score: 0.2.

Endpoints compatible Generated from trainer Mistral Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/ce-lery/mistral-300m-base

Mistral 300M Base Parameters and Internals

LLM Name	Mistral 300M Base
Repository 🤗	https://huggingface.co/ce-lery/mistral-300m-base
Base Model(s)	config_mistral_300m.json /config_mistral_300m.json
Model Size	300m
Required VRAM	0.6 GB
Updated	2026-05-13
Maintainer	ce-lery
Model Type	mistral
Model Files	0.6 GB 0.0 GB
Model Architecture	MistralForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.55.2
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32000
Torch Data Type	bfloat16

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
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Multi-Language Support and Translation

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Lite Oute 1 300M Instruct	4K / 1.2 GB	46	9
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Mistral 300M	4K / 0 GB	7	2
...anese Mistral 300M Instruction	4K / 1.4 GB	3	3
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