LocalClaw/LLM/Spark-X2.6 4B
Open-weight local LLM

Spark-X2.6 4B

Use case: Coding assistant. Check the memory fit and choose a setup path below.

8 GB catalogue minimum8 GB RAMQ4_K_MCoding assistant
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Parameters
4.11B
Minimum RAM
8 GB
Model size
3.54 GB
Quantization
Q4_K_M

About Spark-X2.6 4B

Catalogue summary: Official Apache 2.0 SparkLLM release for local chat, coding and tool use. Official Q4_K_M GGUF is 3.54GB. Plan for 8GB RAM at short context; the configured 1M-token maximum needs substantially more memory. Requires llama.cpp b10828+, Ollama 0.34.1+ or LM Studio 0.4.0+.

Spark-X2.6 4B has a catalogue minimum of 8 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use Spark-X2.6-4B 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 2026-11-06): XHToken/Spark-X2.6-4B-GGUFUpstream releaseLicence text
chatcodereasoningtool-callinglong-context

Install path

01
Check RAM fitMinimum 8 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch Spark-X2.6-4B in LM Studio.
03
Try your workloadStart with a short prompt, check memory use and adjust context length before running longer tasks.

Download formats for this model

These are quantizations of the same model. The RAM fit above uses Q4_K_M; larger files need more memory. File sizes exclude the runtime, context cache and optional vision projector.

Catalogue record

  • Family: spark
  • Parameters: 4.11B
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 8 GB
  • Catalogue model size: 3.54 GB
  • Tags: chat, code, reasoning, tool-calling, long-context

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.

Reading the scores

LocalClaw /10 is an editorial catalogue rating. Community /5 comes from member reviews. Your machine fit is a separate memory and runtime assessment.

Capability profile

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

speed
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quality
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coding
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reasoning
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Technical notes

Developer
SparkLLM / XHToken
License
Apache 2.0
Context window
1,048,576 tokens
Architecture
4.11B dense Spark2_5 decoder with 36 layers, interleaved sliding-window and full attention, and grouped-query attention. Official successor to Spark-X2.5 with updated post-training.

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-X2.5-1.7B 1.7BSpark-X2.5-4B 4BAgents-A1 4B 4BNanbeige4.2 3B 4B (3B non-embedding)MiniCPM5 2B 2BNex-N2.5-mini 35B MoEOccamy-1.0 35B (3B active, MoE)Xing4.0-29B-A4B 29B (4B active, MoE)

Where to go next