Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Nemotron Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/jebish7/Nemotron-Mini-4B-Instruct
Nemotron Mini 4B Instruct Benchmarks
MMLU Pro: 19.81
GPQA: 3.47
MUSR: 18.36
BBH: 19.43
IFEval: 37.09 vs 88 (so35)-57.9%
MATH Lvl 5: 3.25
LLME Score: 0.30568
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Nemotron Mini 4B Instruct Parameters and Internals
| LLM Name | Nemotron Mini 4B Instruct |
| Repository 🤗 | https://huggingface.co/jebish7/Nemotron-Mini-4B-Instruct |
| Model Size | 4b |
| Required VRAM | 16.7 GB |
| Updated | 2025-03-14 |
| Maintainer | jebish7 |
| Model Type | nemotron |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | NemotronForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.47.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 256000 |
| Torch Data Type | float32 |
Best Alternatives to Nemotron Mini 4B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Nemotron Mini 4B Instruct | 4K / 8.4 GB | 2881 | 159 |
| ...otron 4 Mini Hindi 4B Instruct | 4K / 16.7 GB | 80 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than jebish7/Nemotron-Mini-4B-Instruct .
Rank the Nemotron Mini 4B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227