74 lines
3.2 KiB
Markdown
74 lines
3.2 KiB
Markdown
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---
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inference: false
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language:
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- zh
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license: other
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model_creator: hpcai-tech
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model_link: https://huggingface.co/hpcai-tech/Colossal-LLaMA-2-7b-base
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model_name: Colossal-LLaMA-2-7b-base
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model_type: llama
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pipeline_tag: text-generation
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quantized_by: shaowenchen
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tasks:
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- text2text-generation
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tags:
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- gguf
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- llama
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- llama-2
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- chinese
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---
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## Provided files
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| Name | Quant method | Size |
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| ------------------------------------ | ------------ | ------ |
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| colossal-llama-2-7b-base.Q2_K.gguf | Q2_K | 2.8 GB |
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| colossal-llama-2-7b-base.Q3_K.gguf | Q3_K | 3.2 GB |
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| colossal-llama-2-7b-base.Q3_K_L.gguf | Q3_K_L | 3.5 GB |
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| colossal-llama-2-7b-base.Q3_K_S.gguf | Q3_K_S | 2.9 GB |
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| colossal-llama-2-7b-base.Q4_0.gguf | Q4_0 | 3.8 GB |
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| colossal-llama-2-7b-base.Q4_1.gguf | Q4_1 | 4.2 GB |
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| colossal-llama-2-7b-base.Q4_K.gguf | Q4_K | 4.0 GB |
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| colossal-llama-2-7b-base.Q4_K_S.gguf | Q4_K_S | 3.8 GB |
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| colossal-llama-2-7b-base.Q5_0.gguf | Q5_0 | 4.5 GB |
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| colossal-llama-2-7b-base.Q5_1.gguf | Q5_1 | 4.9 GB |
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| colossal-llama-2-7b-base.Q5_K.gguf | Q5_K | 4.7 GB |
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| colossal-llama-2-7b-base.Q5_K_S.gguf | Q5_K_S | 4.5 GB |
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| colossal-llama-2-7b-base.Q6_K.gguf | Q6_K | 5.4 GB |
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| colossal-llama-2-7b-base.Q8_0.gguf | Q8_0 | 7.0 GB |
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| colossal-llama-2-7b-base.gguf | full | 13 GB |
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Usage:
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```bash
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docker run --rm -it -p 8000:8000 -v /path/to/models:/models -e MODEL=/models/gguf-model-name.gguf shaowenchen/llama-cpp-python:0.2.6
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```
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## Provided images
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| Name | Quant method | Compressed Size |
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| -------------------------------------------------- | ------------ | --------------- |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q2_K` | Q2_K | 3.24 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q3_K` | Q3_K | 3.68 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q3_K_L` | Q3_K_L | 3.98 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q3_K_S` | Q3_K_S | 3.38 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q4_0` | Q4_0 | 4.05 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q4_1` | Q4_1 | 4.47 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q4_K` | Q4_K | 4.39 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q4_K_S` | Q4_K_S | 4.18 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q5_0` | Q5_0 | 4.99 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q5_1` | Q5_1 | 5.35 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q5_K` | Q5_K | 5.12 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q5_K_S` | Q5_K_S | 5 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q6_K` | Q6_K | 5.82 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:Q8_0` | Q8_0 | 7.18 GB |
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| `shaowenchen/colossal-llama-2-7b-base-gguf:full` | full | 10.49 GB |
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Usage:
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```
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docker run --rm -p 8000:8000 shaowenchen/colossal-llama-2-7b-base-gguf:Q2_K
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```
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and you can view http://localhost:8000/docs to see the swagger UI.
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