What are the hardware requirements for Nanbeige4.1 3B Heretic Bfloat16?

Nanbeige4.1 3B Heretic Bfloat16 requires approximately 7.9 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 Nanbeige4.1 3B Heretic Bfloat16 and how large is it?

Nanbeige4.1 3B Heretic Bfloat16 is developed by mlx-community, 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 Nanbeige4.1 3B Heretic Bfloat16?

Nanbeige4.1 3B Heretic Bfloat16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Nanbeige4.1 3B Heretic Bfloat16 by mlx-community — VRAM 7.9GB, 256K context

Name: Nanbeige4.1 3B Heretic Bfloat16
Author: mlx-community

Nanbeige4.1 3B Heretic Bfloat16 is an open-source language model by mlx-community. Features: 3b LLM, VRAM: 7.9GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.23.

Abliterated Base model:finetune:heretic-or... Base model:heretic-org/nanbeig... Conversational Decensored En Heretic Llama Mlx Nanbeige Region:us Safetensors Sharded Tensorflow Uncensored Zh

Model Card on HF 🤗: https://huggingface.co/mlx-community/Nanbeige4.1-3B-heretic-bfloat16

Nanbeige4.1 3B Heretic Bfloat16 Parameters and Internals

LLM Name	Nanbeige4.1 3B Heretic Bfloat16
Repository 🤗	https://huggingface.co/mlx-community/Nanbeige4.1-3B-heretic-bfloat16
Base Model(s)	heretic-org/Nanbeige4.1-3B-heretic heretic-org/Nanbeige4.1-3B-heretic
Model Size	3b
Required VRAM	7.9 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	llama
Model Files	5.4 GB: 1-of-2 2.5 GB: 2-of-2
Supported Languages	en zh
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	4.57.6
Tokenizer Class	TokenizersBackend
Padding Token	<unk>
Vocabulary Size	166144

Rank the Nanbeige4.1 3B Heretic Bfloat16 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 Nanbeige4.1 3B Heretic Bfloat16

Best Alternatives	Context / RAM	Downloads	Likes
Nanbeige4.1 3B	256K / 7.9 GB	20875	1161
Nanbeige4.1 3B Heretic	256K / 7.9 GB	149	50
Nanbeige4.1 3B Heretic Mxfp4	256K / 7.9 GB	34	2
Nanbeige4.1 3B Bf16	256K / 7.9 GB	47	3
Nanbeige4.1 3B Heretic	256K / 7.9 GB	14	1
Nanbeige4.1 3B Heretic	256K / 7.9 GB	15	0
ISA 03 Mini 3B Hybrid Preview	256K / 6.5 GB	4	4
ToolMind Web 3B	192K / 7.9 GB	156	28
Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
G9v3 3B	128K / 6 GB	2670	31

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Nanbeige4.1-3B-heretic-bfloat16.