--- inference: false license: apache-2.0 tags: - code language: - de - en quantized_by: VAGOsolutions pipeline_tag: text-generation base_model: VAGOsolutions/SauerkrautLM-1.5b --- ## 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](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/SauerkrautLM-1.5b-f16.gguf) | f16 | 3.1GB | Highest quality (no quant) | | [SauerkrautLM-1.5b-Q8_0.gguf](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/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](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/SauerkrautLM-1.5b-Q6_K.gguf) | Q6_K | 1.3GB | Very high quality, near perfect, *recommended*. | | [SauerkrautLM-1.5b-Q5_K_M.gguf](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/SauerkrautLM-1.5b-Q5_K_M.gguf) | Q5_K_M | 1.1GB | High quality, *recommended*. | | [SauerkrautLM-1.5b-Q5_K_S.gguf](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/SauerkrautLM-1.5b-Q5_K_S.gguf) | Q5_K_S | 1.1GB | High quality, *recommended*. | | [SauerkrautLM-1.5b-Q4_K_M.gguf](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/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](https://huggingface.co/VAGOsolutions/SauerkrautLM-1.5b.GGUF/blob/main/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 ./ ```