--- inference: false language: - zh license: other model_creator: ziqingyang model_link: https://huggingface.co/ziqingyang/chinese-llama-2-7b-16k model_name: chinese-llama-2-7b-16k model_type: llama pipeline_tag: text-generation quantized_by: shaowenchen tasks: - text2text-generation tags: - meta - gguf - llama - llama-2 - chinese --- ## Provided files | Name | Quant method | Size | | ---------------------------------- | ------------ | ------ | | chinese-llama-2-7b-16k.Q2_K.gguf | Q2_K | 2.7 GB | | chinese-llama-2-7b-16k.Q3_K.gguf | Q3_K | 3.2 GB | | chinese-llama-2-7b-16k.Q3_K_L.gguf | Q3_K_L | 3.5 GB | | chinese-llama-2-7b-16k.Q3_K_S.gguf | Q3_K_S | 2.9 GB | | chinese-llama-2-7b-16k.Q4_0.gguf | Q4_0 | 3.7 GB | | chinese-llama-2-7b-16k.Q4_1.gguf | Q4_1 | 4.1 GB | | chinese-llama-2-7b-16k.Q4_K.gguf | Q4_K | 3.9 GB | | chinese-llama-2-7b-16k.Q4_K_S.gguf | Q4_K_S | 3.7 GB | | chinese-llama-2-7b-16k.Q5_0.gguf | Q5_0 | 4.5 GB | | chinese-llama-2-7b-16k.Q5_1.gguf | Q5_1 | 4.9 GB | | chinese-llama-2-7b-16k.Q5_K.gguf | Q5_K | 4.6 GB | | chinese-llama-2-7b-16k.Q5_K_S.gguf | Q5_K_S | 4.5 GB | | chinese-llama-2-7b-16k.Q6_K.gguf | Q6_K | 5.3 GB | | chinese-llama-2-7b-16k.Q8_0.gguf | Q8_0 | 6.9 GB | | chinese-llama-2-7b-16k.gguf | full | 13 GB | Usage: ``` docker run --rm -it -p 8000:8000 -v /path/to/models:/models -e MODEL=/models/gguf-model-name.gguf hubimage/llama-cpp-python:latest ``` and you can view http://localhost:8000/docs to see the swagger UI. ## Provided images | Name | Quant method | Size | | ------------------------------------------------ | ------------ | ------- | | `shaowenchen/chinese-llama-2-7b-16k-gguf:Q2_K` | Q2_K | 3.68 GB | | `shaowenchen/chinese-llama-2-7b-16k-gguf:Q3_K` | Q3_K | 4.16 GB | | `shaowenchen/chinese-llama-2-7b-16k-gguf:Q3_K_L` | Q3_K_L | 4.46 GB | | `shaowenchen/chinese-llama-2-7b-16k-gguf:Q3_K_S` | Q3_K_S | 3.81 GB | | `shaowenchen/chinese-llama-2-7b-16k-gguf:Q4_0` | Q4_0 | 4.7 GB | | `shaowenchen/chinese-llama-2-7b-16k-gguf:Q4_K` | Q4_K | 4.95 GB | | `shaowenchen/chinese-llama-2-7b-16k-gguf:Q4_K_S` | Q4_K_S | 4.73 GB | Usage: ``` docker run --rm -p 8000:8000 shaowenchen/chinese-llama-2-7b-16k-gguf:Q2_K ``` and you can view http://localhost:8000/docs to see the swagger UI.