LocalClaw/LLM/Spark-X2.5-1.7B
Open-weight local LLM

Spark-X2.5-1.7B

Catalogue summary: Spark-X2.5-1.7B is the smaller Apache 2.0 Spark-X2.5 release, tuned for lightweight conversation, coding, reasoning and agentic workflows with a 1M-token native context claim and official GGUF local runtime artifacts.

Repository editorial metadata; verify comparative claims in the linked upstream material.

8 GB catalogue minimum8 GB RAMBF16 GGUFCoding assistant
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Parameters
1.7B
Minimum RAM
8 GB
Model size
3.19 GB
Quantization
BF16 GGUF

Can Spark-X2.5-1.7B run locally?

Spark-X2.5-1.7B has a catalogue minimum of 8 GB RAM with BF16 GGUF. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use Spark-X2.5-1.7B as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Model sourcePublic GGUF repository (verified 2026-09-07): XHToken/Spark-X2.5-1.7B-GGUFUpstream releasePaper or model cardLicence text
chatcodereasoningtool-callinglong-contextlightgeneral

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the BF16 GGUF quant.
02
Load the modelSearch Spark-X2.5-1.7B in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: spark
  • Parameters: 1.7B
  • Recommended quantization: BF16 GGUF
  • Catalogue minimum RAM: 8 GB
  • Catalogue model size: 3.19 GB
  • Tags: chat, code, reasoning, tool-calling, long-context, light, general

Practical limits

  • Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
  • Speed and memory use vary by quantization, backend, context length and system headroom.
  • Verify architecture, licence and usage restrictions in the linked upstream material before deployment.

Catalogue tags

  • chat
  • code
  • reasoning
  • tool-calling
  • long-context
  • light

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
10
quality
6
coding
6
reasoning
6

Technical notes

Developer
XHToken / SparkLLM
License
Apache 2.0
Context window
1,048,576 tokens
Architecture
Compact 1.7B Spark-X2.5 causal language model using the same hybrid full-attention plus sliding-window attention family design as the 4B release.

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Entry laptop fitMacBook Air 8GBMore headroomMac mini M4 16GBAll compatible picks8GB RAM guide

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

Spark-X2.5-4B 4BMiniCPM5 2B 2BAgents-A1 4B 4BGranite 4.2 (3B) 3BK2-Horizon-0.9B 0.9BLFM2.5-2.6B 2.7BLing-3.0-tiny 7.9B (1.3B active, MoE)Nanbeige4.2 3B 4B (3B non-embedding)

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