--- inference: false language: - zh license: other model_creator: ziqingyang model_link: https://huggingface.co/hpcai-tech/Colossal-LLaMA-2-7b-base model_name: Colossal-LLaMA-2-7b-base 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 | | ------------------------------------ | ------------ | ------ | | colossal-llama-2-7b-base.Q2_K.gguf | Q2_K | 2.8 GB | | colossal-llama-2-7b-base.Q3_K.gguf | Q3_K | 3.2 GB | | colossal-llama-2-7b-base.Q3_K_L.gguf | Q3_K_L | 3.5 GB | | colossal-llama-2-7b-base.Q3_K_S.gguf | Q3_K_S | 2.9 GB | | colossal-llama-2-7b-base.Q4_0.gguf | Q4_0 | 3.8 GB | | colossal-llama-2-7b-base.Q4_1.gguf | Q4_1 | 4.2 GB | | colossal-llama-2-7b-base.Q4_K.gguf | Q4_K | 4.0 GB | | colossal-llama-2-7b-base.Q4_K_S.gguf | Q4_K_S | 3.8 GB | | colossal-llama-2-7b-base.Q5_0.gguf | Q5_0 | 4.5 GB | | colossal-llama-2-7b-base.Q5_1.gguf | Q5_1 | 4.9 GB | | colossal-llama-2-7b-base.Q5_K.gguf | Q5_K | 4.7 GB | | colossal-llama-2-7b-base.Q5_K_S.gguf | Q5_K_S | 4.5 GB | | colossal-llama-2-7b-base.Q6_K.gguf | Q6_K | 5.4 GB | | colossal-llama-2-7b-base.Q8_0.gguf | Q8_0 | 7.0 GB | | colossal-llama-2-7b-base.gguf | full | 13 GB | Usage: ```bash docker run --rm -it -p 8000:8000 -v /path/to/models:/models -e MODEL=/models/gguf-model-name.gguf hubimage/llama-cpp-python:latest ``` ## Provided images | Name | Quant method | Size | | -------------------------------------------------- | ------------ | ------- | | `shaowenchen/colossal-llama-2-7b-base-gguf:Q2_K` | Q2_K | 3.68 GB | | `shaowenchen/colossal-llama-2-7b-base-gguf:Q3_K` | Q3_K | 4.16 GB | | `shaowenchen/colossal-llama-2-7b-base-gguf:Q3_K_L` | Q3_K_L | 4.46 GB | | `shaowenchen/colossal-llama-2-7b-base-gguf:Q3_K_S` | Q3_K_S | 3.81 GB | | `shaowenchen/colossal-llama-2-7b-base-gguf:Q4_0` | Q4_0 | 4.7 GB | | `shaowenchen/colossal-llama-2-7b-base-gguf:Q4_K` | Q4_K | 4.95 GB | | `shaowenchen/colossal-llama-2-7b-base-gguf:Q4_K_S` | Q4_K_S | 4.73 GB | Usage: ``` docker run --rm -p 8000:8000 shaowenchen/colossal-llama-2-7b-base-gguf:Q2_K ``` and you can view http://localhost:8000/docs to see the swagger UI.