What are the hardware requirements for Spark X2.5 1.7B Ridge 4 6 8 Mlx?

Spark X2.5 1.7B Ridge 4 6 8 Mlx requires approximately 1.2 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 Ridge 4 6 8 Mlx and how large is it?

Spark X2.5 1.7B Ridge 4 6 8 Mlx is developed by dakerholdings, 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 Ridge 4 6 8 Mlx?

Spark X2.5 1.7B Ridge 4 6 8 Mlx 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 Ridge 4 6 8 Mlx by dakerholdings — VRAM 1.2GB, 1024K context

Name: Spark X2.5 1.7B Ridge 4 6 8 Mlx
Author: dakerholdings

Spark X2.5 1.7B Ridge 4 6 8 Mlx is an open-source language model by dakerholdings. Features: 1.7b LLM, VRAM: 1.2GB, Context: 1024K, LLM Explorer Score: 0.29.

6-bit Base model:quantized:xhtoken/s... Base model:xhtoken/spark-x2.5-... Conversational Mlx Quantized Region:us Ridge 4 6 8 Safetensors Sharded Spark2 5 Tensorflow

Model Card on HF 🤗: https://huggingface.co/dakerholdings/Spark-X2.5-1.7B-ridge_4_6_8-mlx

Spark X2.5 1.7B Ridge 4 6 8 Mlx Parameters and Internals

LLM Name	Spark X2.5 1.7B Ridge 4 6 8 Mlx
Repository 🤗	https://huggingface.co/dakerholdings/Spark-X2.5-1.7B-ridge_4_6_8-mlx
Base Model(s)	XHToken/Spark-X2.5-1.7B XHToken/Spark-X2.5-1.7B
Model Size	1.7b
Required VRAM	1.2 GB
Updated	2026-09-09
Maintainer	dakerholdings
Model Type	spark2_5
Model Files	0.4 GB: 1-of-4 0.4 GB: 2-of-4 0.2 GB: 3-of-4 0.2 GB: 4-of-4
Model Architecture	Spark2_5ForCausalLM
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 X2.5 1.7B Ridge 4 6 8 Mlx 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 Ridge 4 6 8 Mlx

Best Alternatives	Context / RAM	Downloads	Likes
Spark X2.5 1.7B	1024K / 3.4 GB	197	42
Spark X2.5 1.7B FP8	1024K / 2 GB	91	8
Spark X2.5 1.7B Base	1024K / 3.4 GB	226	5

Note: green Score (e.g. "73.2") means that the model is better than dakerholdings/Spark-X2.5-1.7B-ridge_4_6_8-mlx.