Nemotron Research GooseReason 4B Instruct by nvidia

 ยป  All LLMs  ยป  nvidia  ยป  Nemotron Research GooseReason 4B Instruct   URL Share it on

Nemotron Research GooseReason 4B Instruct is an open-source language model by nvidia. Features: 4b LLM, VRAM: 17.6GB, Context: 256K, License: cc-by-nc-4.0, Instruction-Based.

  Arxiv:2505.24864   Arxiv:2601.22975 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Code   Conversational   En   Endpoints compatible   Instruct   Math   Nvidia   Qwen3   Reasoning   Region:us   Rlvr   Safetensors   Sharded   Stem   Tensorflow

Nemotron Research GooseReason 4B Instruct Parameters and Internals

LLM NameNemotron Research GooseReason 4B Instruct
Repository ๐Ÿค—https://huggingface.co/nvidia/Nemotron-Research-GooseReason-4B-Instruct 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM17.6 GB
Updated2026-03-27
Maintainernvidia
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   2.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licensecc-by-nc-4.0
Context Length262144
Model Max Length262144
Transformers Version4.56.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Best Alternatives to Nemotron Research GooseReason 4B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen3 4B Instruct 2507256K / 8.1 GB1473674320
Qwen3 4B Instruct 2507256K / 8.1 GB7903713
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB4154231
WEBGEN 4B Preview256K / 8.1 GB147680
... Instruct 2507 Gabliterated V2256K / 8.1 GB55511
Test7256K / 8.1 GB4790
UIGEN FX 4B Preview256K / 8.1 GB15116
Nyarin 4B256K / 8.9 GB1323
...upyter Agent Qwen3 4B Instruct256K / 16.1 GB107
... Instruct 2507 Gabliterated V1256K / 8.1 GB959
Note: green Score (e.g. "73.2") means that the model is better than nvidia/Nemotron-Research-GooseReason-4B-Instruct.

Rank the Nemotron Research GooseReason 4B Instruct Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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  

What open-source LLMs or SLMs are you in search of? 51648 in total.

Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum โ€” our secure, self-hosted AI agent for server management.
Release v20260327b