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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+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>
+```
+