--- license: apache-2.0 library_name: transformers inference: false base_model: AIDC-AI/Marco-o1 tags: - TensorBlock - GGUF ---
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## AIDC-AI/Marco-o1 - GGUF This repo contains GGUF format model files for [AIDC-AI/Marco-o1](https://huggingface.co/AIDC-AI/Marco-o1). The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4391](https://github.com/ggerganov/llama.cpp/commit/9ba399dfa7f115effc63d48e6860a94c9faa31b2).
Run them on the TensorBlock client using your local machine ↗
## Prompt template ``` <|im_start|>system {system_prompt}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant ``` ## Model file specification | Filename | Quant type | File Size | Description | | -------- | ---------- | --------- | ----------- | | [Marco-o1-Q2_K.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q2_K.gguf) | Q2_K | 3.016 GB | smallest, significant quality loss - not recommended for most purposes | | [Marco-o1-Q3_K_S.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q3_K_S.gguf) | Q3_K_S | 3.492 GB | very small, high quality loss | | [Marco-o1-Q3_K_M.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q3_K_M.gguf) | Q3_K_M | 3.808 GB | very small, high quality loss | | [Marco-o1-Q3_K_L.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q3_K_L.gguf) | Q3_K_L | 4.088 GB | small, substantial quality loss | | [Marco-o1-Q4_0.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q4_0.gguf) | Q4_0 | 4.431 GB | legacy; small, very high quality loss - prefer using Q3_K_M | | [Marco-o1-Q4_K_S.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q4_K_S.gguf) | Q4_K_S | 4.458 GB | small, greater quality loss | | [Marco-o1-Q4_K_M.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q4_K_M.gguf) | Q4_K_M | 4.683 GB | medium, balanced quality - recommended | | [Marco-o1-Q5_0.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q5_0.gguf) | Q5_0 | 5.315 GB | legacy; medium, balanced quality - prefer using Q4_K_M | | [Marco-o1-Q5_K_S.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q5_K_S.gguf) | Q5_K_S | 5.315 GB | large, low quality loss - recommended | | [Marco-o1-Q5_K_M.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q5_K_M.gguf) | Q5_K_M | 5.445 GB | large, very low quality loss - recommended | | [Marco-o1-Q6_K.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q6_K.gguf) | Q6_K | 6.254 GB | very large, extremely low quality loss | | [Marco-o1-Q8_0.gguf](https://huggingface.co/tensorblock/Marco-o1-GGUF/blob/main/Marco-o1-Q8_0.gguf) | Q8_0 | 8.099 GB | very large, extremely low quality loss - not recommended | ## Downloading instruction ### Command line Firstly, install Huggingface Client ```shell pip install -U "huggingface_hub[cli]" ``` Then, downoad the individual model file the a local directory ```shell huggingface-cli download tensorblock/Marco-o1-GGUF --include "Marco-o1-Q2_K.gguf" --local-dir MY_LOCAL_DIR ``` If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try: ```shell huggingface-cli download tensorblock/Marco-o1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' ```