What are the hardware requirements for Satoshi 7B?

Satoshi 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 Satoshi 7B and how large is it?

Satoshi 7B is developed by LaierTwoLabsInc, 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 Satoshi 7B?

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

Satoshi 7B by LaierTwoLabsInc — VRAM 14.4GB, 32K context

Name: Satoshi 7B
Author: LaierTwoLabsInc

Satoshi 7B is an open-source language model by LaierTwoLabsInc. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.12.

Austrian economics Autotrain compatible Bitcoin Conversational Economics En Endpoints compatible Finance Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/LaierTwoLabsInc/Satoshi-7B

Satoshi 7B Parameters and Internals

Model Type

Instruct 7B

Use Cases

Areas:

finance, bitcoin, Austrian economics

Additional Notes

Satoshi 7B is designed to produce responses that do NOT fit the current political overton window, or Keynesian viewpoints. Fine-tuned on libertarian principles, Austrian economics, and Bitcoin literature producing a strong bitcoin maximalist, Austro-libertarian, ‘non-woke’ bias.

Supported Languages

en (English)

Training Details

Data Sources:

https://repository.spiritofsatoshi.ai/, https://mises.org/

Methodology:

SFT full parameters Finetune on QA's dataset. DPO finetune to further improve model alignment.

Context Length:

32000

LLM Name	Satoshi 7B
Repository 🤗	https://huggingface.co/LaierTwoLabsInc/Satoshi-7B
Model Size	7b
Required VRAM	14.4 GB
Updated	2025-05-28
Maintainer	LaierTwoLabsInc
Model Type	mistral
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Satoshi 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

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...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 LaierTwoLabsInc/Satoshi-7B.