Nano Q2 is an open-source language model by NLPark. Features: 1.8b LLM, VRAM: 3.5GB, Context: 32K, License: cc-by-nc-sa-4.0, Quantized, LLM Explorer Score: 0.14.
Autotrain compatible Conversational En Endpoints compatible Q2 Quantized Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/NLPark/Nano_Q2
Nano Q2 Benchmarks
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)
Nano Q2 Parameters and Internals
| Model Type |
| |
| Supported Languages |
|
| LLM Name | Nano Q2 |
| Repository 🤗 | https://huggingface.co/NLPark/Nano_Q2 |
| Model Size | 1.8b |
| Required VRAM | 3.5 GB |
| Updated | 2025-09-23 |
| Maintainer | NLPark |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Quantization Type | q2 |
| Model Architecture | Qwen2ForCausalLM |
| License | cc-by-nc-sa-4.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.42.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Nano Q2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen1.5 1.8B Chat 4bit | 32K / 1.5 GB | 106 | 2 |
| Dhanishtha | 128K / 3.5 GB | 82 | 2 |
| LaConfiance PRYMMAL ECE TW3 | 128K / 7.1 GB | 5 | 0 |
| Reyna Mini 1.8B V0.1 | 32K / 3.7 GB | 109 | 2 |
| Qwen1.5 1.8B Chat | 32K / 3.7 GB | 73672 | 73 |
| Qwen1.5 1.8B | 32K / 3.7 GB | 24781 | 59 |
| Colegium Ai 1.8B | 32K / 3.7 GB | 15 | 0 |
| Qwen Fine Tuned V0 | 32K / 3.7 GB | 53 | 0 |
| Qwen1.5 1.8B Seed Sft | 32K / 3.7 GB | 6 | 0 |
| Neural Chat Mini V2.2 1.8B | 32K / 3.7 GB | 9 | 6 |
Note: green Score (e.g. "73.2") means that the model is better than NLPark/Nano_Q2 .
Rank the Nano Q2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a