What are the hardware requirements for Mistral Trismegistus 7B?

Mistral Trismegistus 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 Trismegistus 7B and how large is it?

Mistral Trismegistus 7B is developed by teknium, 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 Trismegistus 7B perform on standard benchmarks?

Mistral Trismegistus 7B has the following published scores: MMLU 54.49. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral Trismegistus 7B by teknium — VRAM 14.4GB, 32K context

Name: Mistral Trismegistus 7B
Author: teknium

Mistral Trismegistus 7B is an open-source language model by teknium. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12, Arc: 54.1, HellaSwag: 77.9, MMLU: 54.5, GSM8K: 9.9.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Distillation En Endpoints compatible Finetuned Gpt4 Instruct Mistral Mistral-7b Pytorch Region:us Sharded Synthetic data

Model Card on HF 🤗: https://huggingface.co/teknium/Mistral-Trismegistus-7B

Mistral Trismegistus 7B Parameters and Internals

Model Type

occult, esoteric, spiritual

Use Cases

Areas:

esoteric, occult, spiritual

Additional Notes

First powerful occult expert model, trained with high quality instructions on occult and esoteric tasks.

Supported Languages

en (full)

Training Details

Data Sources:

synthetic, gpt-4 generated

Data Volume:

~10,000 examples

Input Output

Input Format:

USER: ASSISTANT:

LLM Name	Mistral Trismegistus 7B
Repository 🤗	https://huggingface.co/teknium/Mistral-Trismegistus-7B
Base Model(s)	mistralai/Mistral-7B-v0.1 mistralai/Mistral-7B-v0.1
Model Size	7b
Required VRAM	14.4 GB
Updated	2026-08-06
Maintainer	teknium
Model Type	mistral
Model Files	9.9 GB: 1-of-2 4.5 GB: 2-of-2
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mistral Trismegistus 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

Quantized Models of the Mistral Trismegistus 7B

Model	Likes	Downloads	VRAM
Candle Mistral Trismegistus 7B	0	670	14 GB
Mistral Trismegistus 7B GGUF	15	1065	3 GB
Mistral Trismegistus 7B GPTQ	5	11	4 GB
Mistral Trismegistus 7B AWQ	2	13	4 GB

Best Alternatives to Mistral Trismegistus 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 teknium/Mistral-Trismegistus-7B.