G1 Nano Instruct is an open-source language model by AZERDSQ. Features: 60m LLM, VRAM: 0.2GB, Context: 2K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.3.
Model Card on HF 🤗: https://huggingface.co/AZERDSQ/G1-nano-instruct
G1 Nano Instruct 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)
G1 Nano Instruct Parameters and Internals
| LLM Name | G1 Nano Instruct |
| Repository 🤗 | https://huggingface.co/AZERDSQ/G1-nano-instruct |
| Model Size | 60m |
| Required VRAM | 0.2 GB |
| Updated | 2026-08-04 |
| Maintainer | AZERDSQ |
| Model Type | nanogpt |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | NanoGPTForCausalLM |
| License | apache-2.0 |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Tokenizer Class | NanoGPTTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 16388 |
| Torch Data Type | float32 |
Rank the G1 Nano Instruct Capabilities
🆘 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! 🌟
What open-source LLMs or SLMs are you in search of? 55613 in total.
Original data from HuggingFace, Arena and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a