Llamacpp GGUF Quantizations of SauerkrautLM-1.5b
Original model: https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b
Prompt format
<|im_start|>system
You are SauerkrautLM, a helpful AI assistant.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
<|im_start|>system
Du bist SauerkrautLM, ein hilfreicher KI-Assistent.<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
Download a file (not the whole branch) from below:
Filename | Quant type | File Size | Description |
---|---|---|---|
SauerkrautLM-1.5b-f16.gguf | f16 | 3.1GB | Highest quality (no quant) |
SauerkrautLM-1.5b-Q8_0.gguf | Q8_0 | 1.6GB | Extremely high quality, generally unneeded but max available quant. |
SauerkrautLM-1.5b-Q6_K.gguf | Q6_K | 1.3GB | Very high quality, near perfect, recommended. |
SauerkrautLM-1.5b-Q5_K_M.gguf | Q5_K_M | 1.1GB | High quality, recommended. |
SauerkrautLM-1.5b-Q5_K_S.gguf | Q5_K_S | 1.1GB | High quality, recommended. |
SauerkrautLM-1.5b-Q4_K_M.gguf | Q4_K_M | 0.98GB | Good quality, uses about 4.83 bits per weight, recommended. |
SauerkrautLM-1.5b-Q4_K_S.gguf | Q4_K_S | 0.94GB | Slightly lower quality with more space savings, recommended. |
Downloading using huggingface-cli
First, make sure you have hugginface-cli installed:
pip install -U "huggingface_hub[cli]"
Then, you can target the specific file you want:
huggingface-cli download VAGOsolutions/SauerkrautLM-1.5b.GGUF --include "SauerkrautLM-1.5b-Q4_K_M.gguf" --local-dir ./
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Model tree for VAGOsolutions/SauerkrautLM-1.5b.GGUF
Base model
VAGOsolutions/SauerkrautLM-1.5b