What are the hardware requirements for Nanbeige 4.1 3B Deepseek Distilled?

Nanbeige 4.1 3B Deepseek Distilled requires approximately 15.8 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 Nanbeige 4.1 3B Deepseek Distilled and how large is it?

Nanbeige 4.1 3B Deepseek Distilled is developed by RoroMachine14, a model with 3b 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 Nanbeige 4.1 3B Deepseek Distilled?

Nanbeige 4.1 3B Deepseek Distilled is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nanbeige 4.1 3B Deepseek Distilled by RoroMachine14 — VRAM 15.8GB, 256K context

Name: Nanbeige 4.1 3B Deepseek Distilled
Author: RoroMachine14

Nanbeige 4.1 3B Deepseek Distilled is an open-source language model by RoroMachine14. Features: 3b LLM, VRAM: 15.8GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.25.

Base model:nanbeige/nanbeige4.... Base model:quantized:nanbeige/... Conversational Dataset:sequelbox/tachibana4-d... En Endpoints compatible Gguf Llama Q8 Quantized Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/RoroMachine14/nanbeige-4.1-3b-deepseek-distilled

Nanbeige 4.1 3B Deepseek Distilled Parameters and Internals

LLM Name	Nanbeige 4.1 3B Deepseek Distilled
Repository 🤗	https://huggingface.co/RoroMachine14/nanbeige-4.1-3b-deepseek-distilled
Base Model(s)	Nanbeige/Nanbeige4.1-3B Nanbeige/Nanbeige4.1-3B
Model Size	3b
Required VRAM	15.8 GB
Updated	2026-07-17
Maintainer	RoroMachine14
Model Type	llama
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 4.2 GB: 3-of-4 1.7 GB: 4-of-4 4.2 GB
Supported Languages	en zh
GGUF Quantization	Yes
Quantization Type	gguf\|q8
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.46.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	166144
Torch Data Type	float32

Rank the Nanbeige 4.1 3B Deepseek Distilled capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 Nanbeige 4.1 3B Deepseek Distilled

Best Alternatives	Context / RAM	Downloads	Likes
KielMind Lite	128K / 2 GB	1712	1
KielMind Pro	128K / 2 GB	46	1
Gunny	128K / 6.5 GB	25	0
Llama 3.2 MEDIT 3B O1	128K / 7.2 GB	81	13
ReWiz Llama 3.2 3B	128K / 6.5 GB	341	3
Llama 3.2 3B Instruct GGUF	128K / 0.9 GB	27639	72
Teuta	128K / 6.5 GB	1153	2
Leyes Ecuador 20250825 200051	128K / 6.5 GB	35	0
Automotive 20250816 105217	128K / 6.5 GB	44	0
HelpingAI 3B Reloaded	128K / 5.7 GB	208	1

Note: green Score (e.g. "73.2") means that the model is better than RoroMachine14/nanbeige-4.1-3b-deepseek-distilled.