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LatestNanbeige4.1
NanbeigeText / LLM

Nanbeige Releases 3B Chinese-Enhanced Language Model

The new Llama-based model was trained from scratch on 3.5 trillion tokens of Chinese and English data to enhance its bilingual capabilities.

Feb 10, 2026
UpdateOther
Nanbeige4.3-33B

Chinese AI firm Nanbeige Technology has released Nanbeige4.1-3B, a new 3-billion-parameter language model designed for strong performance in both Chinese and English. The model is based on the popular Llama architecture but was trained from scratch on a custom, high-quality dataset of 3.5 trillion tokens.

This release adds a new contender to the growing field of specialized, efficient open models. By focusing on a specific language pair and a compact size, Nanbeige4.1-3B offers developers a capable option that can run on less powerful hardware. The company's provided benchmarks show it performing competitively against other models in its class on Chinese-centric evaluations like CMMLU and C-Eval.

Key Specifications

The model's technical details make it a practical choice for a range of applications:

  • Architecture: Llama
  • Parameters: 3 billion
  • Context Length: 4096 tokens
  • Training Data: 3.5T tokens (Chinese & English)

According to its Hugging Face release card, Nanbeige4.1-3B is available under a custom license that permits free commercial use, an important consideration for teams looking to build products with the model.

Sources

  • Nanbeige/Nanbeige4.1-3B

    Hugging Face

    Visit
OlderMOSS-TTS: A New Multilingual Text-to-Speech ModelOpenMOSS · Text → Speech · 9 months agoNewerinclusionAI's Ming 2.0 Tackles Any-to-Any MultimodalityinclusionAI · Any-to-Any · 9 months ago

Get the model

Hugging Face

Specs

Parameters3B
Context window262K tokens
Size7.9 GB
PrecisionBF16
ArchitectureLlamaForCausalLM
LicenseOTHER
Downloads5K
Likes1.2K

Can you run it?

Runs on just about anything.

  • BF16 (as published)

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    9.4 GB
  • 8-bit

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    5.7 GB
  • 4-bit

    Any modern laptop · 8 GB RAM

    3.9 GB
Your machine
GGUF builds
  • KV cache sized for 8,192 tokens of context; longer prompts need proportionally more.

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text / LLM
3 versions — view changelog

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