What are the hardware requirements for Kimi K2.7 Code Dspark?

Kimi K2.7 Code Dspark requires approximately 6.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kimi K2.7 Code Dspark and how large is it?

Kimi K2.7 Code Dspark is developed by novita, a model with 3.1b 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 Kimi K2.7 Code Dspark?

Kimi K2.7 Code Dspark is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kimi K2.7 Code Dspark by novita — VRAM 6.3GB

Name: Kimi K2.7 Code Dspark
Author: novita

Kimi K2.7 Code Dspark is an open-source language model by novita. Features: 3.1b LLM, VRAM: 6.3GB, LLM Explorer Score: 0.26.

Base model:finetune:moonshotai... Base model:moonshotai/kimi-k2.... Custom code Dspark Region:us Safetensors Speculative-decoding Speculators

Model Card on HF 🤗: https://huggingface.co/novita/kimi-k2.7-code-dspark

Kimi K2.7 Code Dspark Parameters and Internals

LLM Name	Kimi K2.7 Code Dspark
Repository 🤗	https://huggingface.co/novita/kimi-k2.7-code-dspark
Base Model(s)	moonshotai/Kimi-K2.7-Code moonshotai/Kimi-K2.7-Code
Model Size	3.1b
Required VRAM	6.3 GB
Updated	2026-09-08
Maintainer	novita
Model Files	6.3 GB
Model Architecture	DSparkDraftModel
Transformers Version	4.57.6

Rank the Kimi K2.7 Code Dspark capabilities

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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 Kimi K2.7 Code Dspark

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Kimi K2.6 Dspark	0K / 6.3 GB	95	16