What are the hardware requirements for KwaiCoder DS V2 Lite Base?

KwaiCoder DS V2 Lite Base requires approximately 31.4 GB of VRAM and supports a context window of 160K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed KwaiCoder DS V2 Lite Base and how large is it?

KwaiCoder DS V2 Lite Base is developed by Kwaipilot, a model with 15.7b 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 KwaiCoder DS V2 Lite Base?

KwaiCoder DS V2 Lite Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

KwaiCoder DS V2 Lite Base by Kwaipilot — VRAM 31.4GB, 160K context

Name: KwaiCoder DS V2 Lite Base
Author: Kwaipilot

KwaiCoder DS V2 Lite Base is an open-source language model by Kwaipilot. Features: 15.7b LLM, VRAM: 31.4GB, Context: 160K, License: mit, LLM Explorer Score: 0.16.

Code-generation Conversational Custom code Deepseek v2 Endpoints compatible Multilingual Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Kwaipilot/KwaiCoder-DS-V2-Lite-Base

KwaiCoder DS V2 Lite Base Parameters and Internals

LLM Name	KwaiCoder DS V2 Lite Base
Repository 🤗	https://huggingface.co/Kwaipilot/KwaiCoder-DS-V2-Lite-Base
Model Size	15.7b
Required VRAM	31.4 GB
Updated	2026-07-20
Maintainer	Kwaipilot
Model Type	deepseek_v2
Model Files	10.0 GB: 1-of-4 10.0 GB: 2-of-4 10.0 GB: 3-of-4 1.4 GB: 4-of-4 10.0 GB: 1-of-4 10.0 GB: 2-of-4 10.0 GB: 3-of-4 1.4 GB: 4-of-4
Model Architecture	DeepseekV2ForCausalLM
License	mit
Context Length	163840
Model Max Length	163840
Transformers Version	4.39.3
Tokenizer Class	LlamaTokenizerFast
Beginning of Sentence Token	<｜begin▁of▁sentence｜>
End of Sentence Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400
Torch Data Type	bfloat16

Rank the KwaiCoder DS V2 Lite Base 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 KwaiCoder DS V2 Lite Base

Best Alternatives	Context / RAM	Downloads	Likes
...eepSeek Coder V2 Lite Instruct	160K / 31.4 GB	542062	628
DeepSeek V2 Lite Chat	160K / 31.4 GB	1354449	144
DeepSeek V2 Lite	160K / 31.4 GB	494498	183
...e Sft Math7k 1epoch 1e 4 Gamma	160K / 31.4 GB	11	1
Dsv2 Lite Coder Codeio Pp	160K / 31.4 GB	2	2
DeepSeek Coder V2 Lite Base	160K / 31.4 GB	5350	114
...2 Lite Instruct FlashAttnPatch	160K / 31.4 GB	24	0
ESFT Vanilla Lite	4K / 31.4 GB	148	20
...eek Coder V2 Lite Instruct AWQ	160K / 9.1 GB	7853	11
LunarAI	160K / 31.4 GB	24	0

Note: green Score (e.g. "73.2") means that the model is better than Kwaipilot/KwaiCoder-DS-V2-Lite-Base.