What are the hardware requirements for Spark 1.7B Engram?

Spark 1.7B Engram requires approximately 1.6 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Spark 1.7B Engram and how large is it?

Spark 1.7B Engram is developed by darioooooo0o, a model with 1.7b 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 Spark 1.7B Engram?

Spark 1.7B Engram is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Spark 1.7B Engram by darioooooo0o — VRAM 1.6GB, 1024K context

Name: Spark 1.7B Engram
Author: darioooooo0o

Spark 1.7B Engram is an open-source language model by darioooooo0o. Features: 1.7b LLM, VRAM: 1.6GB, Context: 1024K, License: apache-2.0, LLM Explorer Score: 0.32.

Arxiv:2601.07372 Algorithms Base model:finetune:xhtoken/sp... Base model:xhtoken/spark-x2.5-... Code Code-generation Coding-assistant Conditional-memory Conversational Custom code Deepseek En Engram Experimental Frozen-backbone Memory-lookup Python Region:us Spark-x2.5 Spark2 5

Model Card on HF 🤗: https://huggingface.co/darioooooo0o/spark-1.7b-engram

Spark 1.7B Engram Parameters and Internals

LLM Name	Spark 1.7B Engram
Repository 🤗	https://huggingface.co/darioooooo0o/spark-1.7b-engram
Base Model(s)	XHToken/Spark-X2.5-1.7B XHToken/Spark-X2.5-1.7B
Model Size	1.7b
Required VRAM	1.6 GB
Updated	2026-09-20
Maintainer	darioooooo0o
Model Type	spark2_5
Model Files	0.0 GB 1.6 GB
Supported Languages	en code
Model Architecture	Spark2_5ForCausalLM
License	apache-2.0
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.57.1
Tokenizer Class	PreTrainedTokenizerFast
Beginning of Sentence Token	<｜start▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Unk Token	<unk>
Vocabulary Size	131072

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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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