--- license: apache-2.0 base_model: jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p tags: - TensorBlock - GGUF ---
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

## jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p - GGUF This repo contains GGUF format model files for [jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p](https://huggingface.co/jingyeom/KoSoLAR-10.7B-v0.2_1.3_dedup_p). The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4011](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d). ## Prompt template ``` ``` ## Model file specification | Filename | Quant type | File Size | Description | | -------- | ---------- | --------- | ----------- | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q2_K.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q2_K.gguf) | Q2_K | 3.768 GB | smallest, significant quality loss - not recommended for most purposes | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q3_K_S.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q3_K_S.gguf) | Q3_K_S | 4.387 GB | very small, high quality loss | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q3_K_M.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q3_K_M.gguf) | Q3_K_M | 4.882 GB | very small, high quality loss | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q3_K_L.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q3_K_L.gguf) | Q3_K_L | 5.306 GB | small, substantial quality loss | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q4_0.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q4_0.gguf) | Q4_0 | 5.703 GB | legacy; small, very high quality loss - prefer using Q3_K_M | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q4_K_S.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q4_K_S.gguf) | Q4_K_S | 5.746 GB | small, greater quality loss | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q4_K_M.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q4_K_M.gguf) | Q4_K_M | 6.065 GB | medium, balanced quality - recommended | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q5_0.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q5_0.gguf) | Q5_0 | 6.941 GB | legacy; medium, balanced quality - prefer using Q4_K_M | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q5_K_S.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q5_K_S.gguf) | Q5_K_S | 6.941 GB | large, low quality loss - recommended | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q5_K_M.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q5_K_M.gguf) | Q5_K_M | 7.128 GB | large, very low quality loss - recommended | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q6_K.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q6_K.gguf) | Q6_K | 8.257 GB | very large, extremely low quality loss | | [KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q8_0.gguf](https://huggingface.co/tensorblock/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF/tree/main/KoSoLAR-10.7B-v0.2_1.3_dedup_p-Q8_0.gguf) | Q8_0 | 10.694 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/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF --include "KoSoLAR-10.7B-v0.2_1.3_dedup_p-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/KoSoLAR-10.7B-v0.2_1.3_dedup_p-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' ```