What are the hardware requirements for TinyMistral 248M V3?

TinyMistral 248M V3 requires approximately 0.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed TinyMistral 248M V3 and how large is it?

TinyMistral 248M V3 is developed by M4-ai, a model with 248m 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 TinyMistral 248M V3?

TinyMistral 248M V3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

TinyMistral 248M V3 by M4-ai — VRAM 0.5GB, 32K context

Name: TinyMistral 248M V3
Author: M4-ai

TinyMistral 248M V3 is an open-source language model by M4-ai. Features: 248m LLM, VRAM: 0.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12.

Conversational Dataset:eminorhan/gutenberg en Dataset:jeankaddour/minipile Dataset:llm360/txt360 Dataset:locutusque/tm-data-v2 Dataset:mlfoundations/dclm-bas... Dataset:skylion007/openwebtext En Endpoints compatible Mistral Model-index Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/M4-ai/TinyMistral-248M-v3

TinyMistral 248M V3 Parameters and Internals

LLM Name	TinyMistral 248M V3
Repository 🤗	https://huggingface.co/M4-ai/TinyMistral-248M-v3
Model Size	248m
Required VRAM	0.5 GB
Updated	2026-07-18
Maintainer	M4-ai
Model Type	mistral
Model Files	0.5 GB
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.45.2
Tokenizer Class	LlamaTokenizer
Padding Token	[PAD]
Vocabulary Size	32005
Torch Data Type	bfloat16

Rank the TinyMistral 248M V3 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

Best Alternatives to TinyMistral 248M V3

Best Alternatives	Context / RAM	Downloads	Likes
TinyMistral 248M V2.5	32K / 1 GB	226	27
TinyMistral 248M V2	32K / 1 GB	1096	17
TinyMistral 248M V2.5 Instruct	32K / 1 GB	2	11
...al V2.5 MiniPile Guidelines E1	32K / 0.6 GB	13	2
TinyMistral V2 Test1	32K / 1 GB	18	1
...adrin TinyMistral248M Instruct	32K / 0.5 GB	108	7
TinyMistral 248M Instruct	32K / 1 GB	69	12
TinyMistral 248M 8bits	32K / 0.3 GB	21	1
Tinymistv1	32K / 0.5 GB	17	0
TinyMistral Haiku	32K / 1 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than M4-ai/TinyMistral-248M-v3.