Nexa AI 4B Instruct is an open-source language model by Neura-Tech-AI. Features: 4b LLM, VRAM: 8GB, Context: 256K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.29.
| LLM Name | Nexa AI 4B Instruct |
| Repository 🤗 | https://huggingface.co/Neura-Tech-AI/Nexa-AI-4B-Instruct |
| Base Model(s) | |
| Model Size | 4b |
| Required VRAM | 8 GB |
| Updated | 2026-07-26 |
| Maintainer | Neura-Tech-AI |
| Model Type | qwen3 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en hi zh |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 262144 |
| Model Max Length | 262144 |
| Transformers Version | 5.12.1 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| FastContext 1.0 4B SFT | 256K / 8.1 GB | 5735 | 357 |
| Qwen3 4B Instruct 2507 | 256K / 8.1 GB | 3109972 | 911 |
| Fable Traces | 256K / 8.1 GB | 468 | 210 |
| FastContext 1.0 4B RL | 256K / 8.1 GB | 4559 | 61 |
| Qwen3 4B Instruct 2507 FP8 | 256K / 5.2 GB | 1100744 | 78 |
| Neuron 4B Instruct | 256K / 8.1 GB | 313 | 1 |
| Tac 1 | 256K / 8.1 GB | 808 | 0 |
| Agents K1 | 256K / 8.8 GB | 1098 | 28 |
| FastContext 1.0 4B SFT | 256K / 8.1 GB | 273 | 18 |
| Karnak 6B V1.0 | 256K / 11.9 GB | 1151 | 1 |