Jan Nano 8bit is an open-source language model by mlx-community. Features: 1.1b LLM, VRAM: 4.3GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.2.
8-bit 8bit Base model:menlo/jan-nano Base model:quantized:menlo/jan... Conversational Mlx Quantized Qwen3 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Jan-nano-8bit
Jan Nano 8bit 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)
Jan Nano 8bit Parameters and Internals
| LLM Name | Jan Nano 8bit |
| Repository 🤗 | https://huggingface.co/mlx-community/Jan-nano-8bit |
| Base Model(s) | |
| Model Size | 1.1b |
| Required VRAM | 4.3 GB |
| Updated | 2026-03-29 |
| Maintainer | mlx-community |
| Model Type | qwen3 |
| Model Files | |
| Quantization Type | 8bit |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Transformers Version | 4.52.4 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Rank the Jan Nano 8bit 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? 52996 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a