---

license: apache-2.0

base_model: Qwen/Qwen3-4B

library_name: transformers

pipeline_tag: text-generation

language:

• en
• zh

tags:

• zen5
• zen5-flash
• zenlm
• hanzo
• safetensors
• instruct
• agentic
• zen-5

---

Zen5 Flash

Smallest and fastest tier in the Zen5 family. A dense 4B-parameter instruct model with sub-100ms time-to-first-token at 32K context, tuned for high-throughput routing and simple agent loops.

Repackaged from Qwen/Qwen3-4B (apache-2.0, Alibaba Qwen) — redistributed as safetensors from the abliterated huihui-ai/Qwen3-4B-abliterated variant. Not trained from scratch — a permissively-licensed redistribution for the OSS-clean Zen model line.

Part of the canonical Zen5 ladder:

| SKU | Hardware fit | This repo |

|---|---|---|

| zen5-flash | anything (4 GB VRAM) | ← you are here |

| zen5-mini | hosted only | zen-5-mini-gguf |

| zen5 (default) | 24 GB+ VRAM | zen-5-gguf |

| zen5-pro | Mac M4 Max / DGX Spark / H100 80GB | zen-5-pro-gguf |

| zen5-max | Mac Studio M3 Ultra 512GB / 8x H100 | zen-5-max-gguf |

Files

| File | Format |

|---|---|

| model-00001-of-00002.safetensors + model-00002-of-00002.safetensors | sharded safetensors |

| tokenizer.json, tokenizer_config.json, special_tokens_map.json | tokenizer |

| config.json, generation_config.json | model config |

| chat_template.jinja | chat template |

Run

Hosted via the Hanzo gateway (api.hanzo.ai) as zen5-flash — see https://docs.hanzo.ai/zen.

Local with the zen5-engine or any transformers-compatible runtime:

from transformers import AutoModelForCausalLM, AutoTokenizer
tok = AutoTokenizer.from_pretrained("zenlm/zen-5-flash-gguf")
model = AutoModelForCausalLM.from_pretrained("zenlm/zen-5-flash-gguf", device_map="auto")

License

apache-2.0. Upstream: Qwen/Qwen3-4B by Alibaba Qwen; abliterated variant by huihui-ai. This repository redistributes a derivative under the same license.