What are the hardware requirements for Mistral Trismegistus 7B GPTQ?

Mistral Trismegistus 7B GPTQ requires approximately 4.2 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 GPTQ and how large is it?

Mistral Trismegistus 7B GPTQ is developed by TheBloke, a model with 7b 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 Mistral Trismegistus 7B GPTQ?

Mistral Trismegistus 7B GPTQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Trismegistus 7B GPTQ by TheBloke — VRAM 4.2GB, 32K context

Name: Mistral Trismegistus 7B GPTQ
Author: TheBloke

Mistral Trismegistus 7B GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.09.

4-bit Base model:quantized:teknium/m... Base model:teknium/mistral-tri... Distillation En Finetuned Gpt4 Gptq Instruct Mistral Mistral-7b Quantized Region:us Safetensors Synthetic data

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

Mistral Trismegistus 7B GPTQ Parameters and Internals

Model Type

text generation

Use Cases

Areas:

esoteric, occult, spiritual

Applications:

chatbots for spiritual guidance, hypnosis simulations

Primary Use Cases:

Answering questions about occult artifacts, Playing the role of a hypnotist

Limitations:

Limited to esoteric and spiritual topics

Additional Notes

This model is tuned for creative and esoteric tasks, emphasizing depth and richness in the occult.

Supported Languages

en (fluent)

Training Details

Data Sources:

GPT-4 generated dataset

Data Volume:

35,000 examples

Methodology:

Synthetic data generation, fine-tuning

Model Architecture:

Mistral architecture

Input Output

Input Format:

USER: {prompt} ASSISTANT:

Accepted Modalities:

text

Output Format:

text

LLM Name	Mistral Trismegistus 7B GPTQ
Repository 🤗	https://huggingface.co/TheBloke/Mistral-Trismegistus-7B-GPTQ
Model Name	Mistral Trismegistus 7B
Model Creator	Teknium
Base Model(s)	Mistral Trismegistus 7B teknium/Mistral-Trismegistus-7B
Model Size	7b
Required VRAM	4.2 GB
Updated	2026-08-08
Maintainer	TheBloke
Model Type	mistral
Model Files	4.2 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mistral Trismegistus 7B GPTQ 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 Trismegistus 7B GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
...enHermes 2.5 Mistral 7B Marlin	32K / 4.1 GB	6	2
Zephyr 7B Beta Marlin	32K / 4.1 GB	16	0
Mistral 7B Instruct V0.3 GPTQ	32K / 4.2 GB	113881	1
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2946	18
...ral 7B Instruct V0.3 GPTQ 4bit	32K / 4.2 GB	2658	25
...istral 7B Pruned50 GPTQ Marlin	32K / 4 GB	5	0
Mistral 7B Instruct V0.2 GPTQ	32K / 4.2 GB	6743	56
Mistral 7B Unsloth Gptq 8bit	32K / 7.7 GB	7	0
Cosmosage V2	32K / 4.2 GB	8	4
...phyr 7B Beta Assistant V1 Gptq	32K / 4.2 GB	2	1

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Mistral-Trismegistus-7B-GPTQ.