What are the hardware requirements for Spark X2.6 1.7B ONNX WebGPU?

Spark X2.6 1.7B ONNX WebGPU requires a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Spark X2.6 1.7B ONNX WebGPU and how large is it?

Spark X2.6 1.7B ONNX WebGPU is developed by mohdmahmodi, 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 X2.6 1.7B ONNX WebGPU?

Spark X2.6 1.7B ONNX WebGPU is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Spark X2.6 1.7B ONNX WebGPU by mohdmahmodi — 1024K context

Name: Spark X2.6 1.7B ONNX WebGPU
Author: mohdmahmodi

Spark X2.6 1.7B ONNX WebGPU is an open-source language model by mohdmahmodi. Features: 1.7b LLM, Context: 1024K, License: apache-2.0, LLM Explorer Score: 0.33.

Base model:quantized:xhtoken/s... Base model:xhtoken/spark-x2.6-... Conversational En In-browser Int4 Onnx Onnxruntime Onnxruntime-web Qwen3 Region:us Spark2 5 Transformers.js Webgpu Zh

Model Card on HF 🤗: https://huggingface.co/mohdmahmodi/Spark-X2.6-1.7B-ONNX-WebGPU

Spark X2.6 1.7B ONNX WebGPU Parameters and Internals

LLM Name	Spark X2.6 1.7B ONNX WebGPU
Repository 🤗	https://huggingface.co/mohdmahmodi/Spark-X2.6-1.7B-ONNX-WebGPU
Base Model(s)	XHToken/Spark-X2.6-1.7B XHToken/Spark-X2.6-1.7B
Model Size	1.7b
Updated	2026-11-01
Maintainer	mohdmahmodi
Model Type	qwen3
Supported Languages	en zh
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

Rank the Spark X2.6 1.7B ONNX WebGPU 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 Spark X2.6 1.7B ONNX WebGPU

Best Alternatives	Context / RAM	Downloads	Likes
Spark X2.6 1.7B	1024K / 3.4 GB	763	57
Spark X2.6 1.7B Base	1024K / 3.4 GB	540	12
Webbrain Compass Tiny Xs V3	1024K / 3.4 GB	689	1
Spark X2.5 1.7B	1024K / 3.4 GB	197	42
Spark 1.7B Engram	1024K / 1.6 GB	514	1
Spark X2.5 1.7B Orth R11	1024K / 3.4 GB	370	0
Hunter 1 1.7B	1024K / 3.4 GB	48	2
Spark X2.5 1.7B Base	1024K / 3.4 GB	226	5
Spark X2.5 1.7B INT8	1024K / 2 GB	120	9
Spark X2.5 1.7B FP8	1024K / 2 GB	91	8

Note: green Score (e.g. "73.2") means that the model is better than mohdmahmodi/Spark-X2.6-1.7B-ONNX-WebGPU.