What are the hardware requirements for OpenMia Indo Mistral 7B?

OpenMia Indo Mistral 7B requires approximately 14.4 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 OpenMia Indo Mistral 7B and how large is it?

OpenMia Indo Mistral 7B is developed by indischepartij, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does OpenMia Indo Mistral 7B perform on standard benchmarks?

OpenMia Indo Mistral 7B has the following published scores: MMLU 62.75. Compare against reference models on this page or on the LLM Explorer leaderboards.

OpenMia Indo Mistral 7B by indischepartij — VRAM 14.4GB, 32K context

Name: OpenMia Indo Mistral 7B
Author: indischepartij

OpenMia Indo Mistral 7B is an open-source language model by indischepartij. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: cc-by-nc-4.0, Quantized, LLM Explorer Score: 0.13, Arc: 59.6, HellaSwag: 83.2, MMLU: 62.8, GSM8K: 34.6.

4bit Conversational Dataset:notzero/alpaca indones... En Endpoints compatible Id Mistral Model-index Pytorch Quantized Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/indischepartij/OpenMia-Indo-Mistral-7b

OpenMia Indo Mistral 7B Parameters and Internals

LLM Name	OpenMia Indo Mistral 7B
Repository 🤗	https://huggingface.co/indischepartij/OpenMia-Indo-Mistral-7b
Base Model(s)	mistral-7b /mistral-7b
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-06
Maintainer	indischepartij
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3 4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en id
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	cc-by-nc-4.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.37.1
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the OpenMia Indo Mistral 7B 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 OpenMia Indo Mistral 7B

Best Alternatives	Context / RAM	Downloads	Likes
...t 3.5 0106 128K 4.0bpw H6 EXL2	128K / 3.9 GB	4	1
...t 3.5 0106 128K 8.0bpw H8 EXL2	128K / 7.4 GB	1	1
Mistral 7B Instruct V0.2 Fp16	32K / 14.4 GB	26	0
Mistral 7B Instruct V0.2 4bit	32K / 4.3 GB	79	1
Mistral 7B V0.3 Bnb 4bit	32K / 4.1 GB	381323	22
...tral 7B Instruct V0.3 Bnb 4bit	32K / 4.1 GB	34633	42
Mistral 7B Instruct V0.2 8bit	32K / 7.6 GB	5	1
...tral 7B Instruct V0.2 Bnb 4bit	32K / 4.1 GB	7160	35
Mixtral V0.3 Full 16bit	32K / 14.5 GB	9	0
... 7B Instruct V0.3ContinuedFine	32K / 14.5 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than indischepartij/OpenMia-Indo-Mistral-7b.