What are the hardware requirements for Mistral Indo 7B?

Mistral Indo 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 Mistral Indo 7B and how large is it?

Mistral Indo 7B is developed by sarahlintang, 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 Mistral Indo 7B perform on standard benchmarks?

Mistral Indo 7B has the following published scores: MMLU 62.99. Compare against reference models on this page or on the LLM Explorer leaderboards.

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

Name: Mistral Indo 7B
Author: sarahlintang

Mistral Indo 7B is an open-source language model by sarahlintang. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.11, Arc: 61.1, HellaSwag: 81.2, MMLU: 63, GSM8K: 32.1.

Conversational Endpoints compatible Id Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sarahlintang/mistral-indo-7b

Mistral Indo 7B Parameters and Internals

Model Type

text generation

Use Cases

Areas:

Research, Indonesian language modeling

Applications:

Text generation, Instruction-based tasks

Primary Use Cases:

Text-based instruction handling in Indonesian

Supported Languages

Indonesian (High)

Training Details

Data Sources:

Indonesian's instructions dataset (https://huggingface.co/datasets/sarahlintang/Alpaca_indo_instruct)

Methodology:

Fine-tuning

Input Output

Input Format:

### Human: {Instruction} ### Assistant:

Accepted Modalities:

text

Output Format:

Text following the input format

LLM Name	Mistral Indo 7B
Repository 🤗	https://huggingface.co/sarahlintang/mistral-indo-7b
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-07-25
Maintainer	sarahlintang
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	id
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.35.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral Indo 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 Mistral Indo 7B

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than sarahlintang/mistral-indo-7b.