Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

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llama-keyword-generator-zh2zh-120M - GGUF
- Model creator: https://huggingface.co/p208p2002/
- Original model: https://huggingface.co/p208p2002/llama-keyword-generator-zh2zh-120M/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [llama-keyword-generator-zh2zh-120M.Q2_K.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q2_K.gguf) | Q2_K | 0.05GB |
| [llama-keyword-generator-zh2zh-120M.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.IQ3_XS.gguf) | IQ3_XS | 0.06GB |
| [llama-keyword-generator-zh2zh-120M.IQ3_S.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.IQ3_S.gguf) | IQ3_S | 0.06GB |
| [llama-keyword-generator-zh2zh-120M.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q3_K_S.gguf) | Q3_K_S | 0.06GB |
| [llama-keyword-generator-zh2zh-120M.IQ3_M.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.IQ3_M.gguf) | IQ3_M | 0.06GB |
| [llama-keyword-generator-zh2zh-120M.Q3_K.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q3_K.gguf) | Q3_K | 0.06GB |
| [llama-keyword-generator-zh2zh-120M.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q3_K_M.gguf) | Q3_K_M | 0.06GB |
| [llama-keyword-generator-zh2zh-120M.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q3_K_L.gguf) | Q3_K_L | 0.06GB |
| [llama-keyword-generator-zh2zh-120M.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.IQ4_XS.gguf) | IQ4_XS | 0.07GB |
| [llama-keyword-generator-zh2zh-120M.Q4_0.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q4_0.gguf) | Q4_0 | 0.07GB |
| [llama-keyword-generator-zh2zh-120M.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.IQ4_NL.gguf) | IQ4_NL | 0.07GB |
| [llama-keyword-generator-zh2zh-120M.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q4_K_S.gguf) | Q4_K_S | 0.07GB |
| [llama-keyword-generator-zh2zh-120M.Q4_K.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q4_K.gguf) | Q4_K | 0.07GB |
| [llama-keyword-generator-zh2zh-120M.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q4_K_M.gguf) | Q4_K_M | 0.07GB |
| [llama-keyword-generator-zh2zh-120M.Q4_1.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q4_1.gguf) | Q4_1 | 0.08GB |
| [llama-keyword-generator-zh2zh-120M.Q5_0.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q5_0.gguf) | Q5_0 | 0.08GB |
| [llama-keyword-generator-zh2zh-120M.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q5_K_S.gguf) | Q5_K_S | 0.08GB |
| [llama-keyword-generator-zh2zh-120M.Q5_K.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q5_K.gguf) | Q5_K | 0.08GB |
| [llama-keyword-generator-zh2zh-120M.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q5_K_M.gguf) | Q5_K_M | 0.08GB |
| [llama-keyword-generator-zh2zh-120M.Q5_1.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q5_1.gguf) | Q5_1 | 0.09GB |
| [llama-keyword-generator-zh2zh-120M.Q6_K.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q6_K.gguf) | Q6_K | 0.09GB |
| [llama-keyword-generator-zh2zh-120M.Q8_0.gguf](https://huggingface.co/RichardErkhov/p208p2002_-_llama-keyword-generator-zh2zh-120M-gguf/blob/main/llama-keyword-generator-zh2zh-120M.Q8_0.gguf) | Q8_0 | 0.12GB |




Original model description:
---
language:
- zh
inference: false
pipeline_tag: text-generation
tags:
- llama
- chinese
- keyword-generator
---
# LLaMA based chinese keyword generator

基於高品質中文資料訓練的中文關鍵字產生器。

Base Model: [p208p2002/llama-traditional-chinese-120M](https://huggingface.co/p208p2002/llama-traditional-chinese-120M)

## 使用方式
### 範例
#### 輸入
```
國內車市旺，10月單月掛 牌量衝上4萬台佳績，為40,540台，月增9%、年增11%；累計前十個月掛牌量逾39萬台，改寫近18年來新高紀錄，這樣的熱度將旺到年底。</s>
```
#### 輸出
```
汽車行業、車市、熱度</s>
```

### OpenLLM
支援[OpenLLM](https://github.com/bentoml/OpenLLM)部署使用。

```bash
$ openllm start opt --model-id p208p2002/llama-keyword-generator-zh2zh-120M
```
```bash
$ openllm query CONTEXT</s>
```