What are the hardware requirements for Spark X2.5 1.7B Chat Mlx 4bit?

Spark X2.5 1.7B Chat Mlx 4bit requires approximately 1 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 X2.5 1.7B Chat Mlx 4bit and how large is it?

Spark X2.5 1.7B Chat Mlx 4bit is developed by SirSahOl, 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 X2.5 1.7B Chat Mlx 4bit?

Spark X2.5 1.7B Chat Mlx 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Spark X2.5 1.7B Chat Mlx 4bit by SirSahOl — VRAM 1GB, 1024K context

Name: Spark X2.5 1.7B Chat Mlx 4bit
Author: SirSahOl

Spark X2.5 1.7B Chat Mlx 4bit is an open-source language model by SirSahOl. Features: 1.7b LLM, VRAM: 1GB, Context: 1024K, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

4-bit 4bit Apple-silicon Base model:quantized:xhtoken/s... Base model:xhtoken/spark-x2.5-... Conversational Custom code Mlx Quantized Region:us Safetensors Spark2 5 Sparkx2 5

Model Card on HF 🤗: https://huggingface.co/SirSahOl/Spark-X2.5-1.7B-chat-mlx-4bit

Spark X2.5 1.7B Chat Mlx 4bit Parameters and Internals

LLM Name	Spark X2.5 1.7B Chat Mlx 4bit
Repository 🤗	https://huggingface.co/SirSahOl/Spark-X2.5-1.7B-chat-mlx-4bit
Base Model(s)	XHToken/Spark-X2.5-1.7B XHToken/Spark-X2.5-1.7B
Model Size	1.7b
Required VRAM	1 GB
Updated	2026-10-04
Maintainer	SirSahOl
Model Type	spark2_5
Model Files	1.0 GB
Quantization Type	4bit
Model Architecture	Spark2_5ForCausalLM
License	apache-2.0
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.57.1
Tokenizer Class	TokenizersBackend
Padding Token	<｜▁pad▁｜>
Vocabulary Size	131072

Rank the Spark X2.5 1.7B Chat Mlx 4bit 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 X2.5 1.7B Chat Mlx 4bit

Best Alternatives	Context / RAM	Downloads	Likes
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 INT8	1024K / 2 GB	120	9
Spark X2.5 1.7B Base	1024K / 3.4 GB	226	5
Spark X2.5 1.7B FP8	1024K / 2 GB	91	8
...park X2.5 1.7B Ridge 4 6 8 Mlx	1024K / 1.2 GB	14	1

Note: green Score (e.g. "73.2") means that the model is better than SirSahOl/Spark-X2.5-1.7B-chat-mlx-4bit.