What are the hardware requirements for Kimi K2.6 DFlash?

Kimi K2.6 DFlash requires approximately 7 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Kimi K2.6 DFlash and how large is it?

Kimi K2.6 DFlash is developed by nvidia, a model with 3.5b 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 K2.6 DFlash?

Kimi K2.6 DFlash is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kimi K2.6 DFlash by nvidia — VRAM 7GB, 256K context

Name: Kimi K2.6 DFlash
Author: nvidia

Kimi K2.6 DFlash is an open-source language model by nvidia. Features: 3.5b LLM, VRAM: 7GB, Context: 256K, License: other, LLM Explorer Score: 0.3.

Base model:finetune:moonshotai... Base model:moonshotai/kimi-k2.... Dflash Kimi-k2.6 Model optimizer Modelopt Nvidia Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/nvidia/Kimi-K2.6-DFlash

Kimi K2.6 DFlash Parameters and Internals

LLM Name	Kimi K2.6 DFlash
Repository 🤗	https://huggingface.co/nvidia/Kimi-K2.6-DFlash
Base Model(s)	moonshotai/Kimi-K2.6 moonshotai/Kimi-K2.6
Model Size	3.5b
Required VRAM	7 GB
Updated	2026-07-18
Maintainer	nvidia
Model Type	qwen3
Model Files	7.0 GB
Model Architecture	DFlashDraftModel
License	other
Context Length	262144
Model Max Length	262144
Vocabulary Size	163840
Torch Data Type	bfloat16

Rank the Kimi K2.6 DFlash 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 K2.6 DFlash

Best Alternatives	Context / RAM	Downloads	Likes
Kimi K2.7 Code DFlash	256K / 7 GB	2017	12

Note: green Score (e.g. "73.2") means that the model is better than nvidia/Kimi-K2.6-DFlash.