What are the hardware requirements for CryptoAI?

CryptoAI requires approximately 16.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed CryptoAI and how large is it?

CryptoAI is developed by shafire, a model with 8b 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 CryptoAI?

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

CryptoAI by shafire — VRAM 16.1GB

Name: CryptoAI
Author: shafire

CryptoAI is an open-source language model by shafire. Features: 8b LLM, VRAM: 16.1GB, License: other, LLM Explorer Score: 0.18.

Agents Autotrain Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational Crypto Endpoints compatible Finance Llama Llama-3 Lora Peft Region:us Safetensors Sharded Soul-ai Tensorboard Tensorflow Workflow-automation

Model Card on HF 🤗: https://huggingface.co/shafire/CryptoAI

CryptoAI Parameters and Internals

LLM Name	CryptoAI
Repository 🤗	https://huggingface.co/shafire/CryptoAI
Base Model(s)	meta-llama/Llama-3.1-8B meta-llama/Llama-3.1-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-12
Maintainer	shafire
Model Files	0.2 GB 5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4 0.0 GB
Model Architecture	AutoModelForCausalLM
License	other
Model Max Length	2048
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	v_proj\|gate_proj\|k_proj\|down_proj\|q_proj\|up_proj\|o_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the CryptoAI 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 CryptoAI

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.1 8B Instuct Uz	128K / 16.1 GB	1000	15
Trillama 8B	8K / 16.1 GB	14	3
AutogenJune2000	8K / 33.8 GB	6	0
Llama3 8B	8K / 16.1 GB	7	0
NewMes V15	0K / 16.1 GB	409	18
Cve Model	0K / 0.3 GB	16	0
Shaista Pro	0K / 0 GB	10	0
...Datasets Layer 1 Decoder Fixed	0K / 0.7 GB	672	0
Medllama3 V20	0K / 16.1 GB	25328	78
ConfTuner Ministral	0K / 16.1 GB	13	4

Note: green Score (e.g. "73.2") means that the model is better than shafire/CryptoAI.