Project AURIONAI Use-Cases Research & Innovation
Mistral AI
LLM

Mixtral 8x7B Instruct v0.1

Instruction-tuned version of Mixtral 8x7B for chat and following instructions.

Figure from the Mixtral paper: bar charts of Mixtral and Llama models across benchmarks.
Levelmodel
ClassLLM
Parameters46.7B
Contextnot in the notes
Released11 Dec 2023
Opennessopen weights permissive
Runs onnot in the notes
Statusactive

Lineage

finetune
Mistral AIMixtral 8x7B v0.1 is the parent (finetune)high confidenceHugging Face base_model
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.

R&D Topics

Identity

Developer
Mistral AI
Family
not in the notes
Released
11 Dec 2023 sourcesannouncement page
Weights published
–
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
MoE
Total parameters
46.7B sources
Active parameters
–
Checkpoint parameters
–
Note
Parameter count from the safetensors index on Hugging Face.
Context length
not in the notes
Input
text
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
Apache License 2.0 sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
Model card languages: fr, it, de, es, en
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2401.04088 https://arxiv.org/abs/2401.04088
  2. huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1 https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
  3. github.com/GoogleCloudPlatform/vertex-ai-samples/tree/ma... https://github.com/GoogleCloudPlatform/vertex-ai-samples/tree/main/notebooks/community/model_garden
  4. keras.io/keras_hub/presets https://keras.io/keras_hub/presets/
  5. mistral.ai/news/mixtral-of-experts https://mistral.ai/news/mixtral-of-experts

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Mixtral 8x7B Instruct v0.1", https://aurion.semai.id/models/mistral-ai-mixtral-8x7b-instruct-v0-1/, records of October 2026.