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metadata
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:

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.