初始化项目，由ModelHub XC社区提供模型

Model: zenlm/zen-5-flash-gguf
Source: Original Platform

README.md

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+---
+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](https://zenlm.org) 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](https://huggingface.co/Qwen/Qwen3-4B) (apache-2.0, Alibaba Qwen) — redistributed as safetensors from the abliterated [huihui-ai/Qwen3-4B-abliterated](https://huggingface.co/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](https://huggingface.co/zenlm/zen-5-mini-gguf) |
+| `zen5` (default) | 24 GB+ VRAM | [zen-5-gguf](https://huggingface.co/zenlm/zen-5-gguf) |
+| `zen5-pro` | Mac M4 Max / DGX Spark / H100 80GB | [zen-5-pro-gguf](https://huggingface.co/zenlm/zen-5-pro-gguf) |
+| `zen5-max` | Mac Studio M3 Ultra 512GB / 8x H100 | [zen-5-max-gguf](https://huggingface.co/zenlm/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](https://github.com/zenlm/zen5-engine) or any transformers-compatible runtime:
+
+```python
+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.