--- library_name: transformers tags: - TensorBlock - GGUF base_model: fineinstructions/template_instantiator_intermediate ---
TensorBlock
[![Website](https://img.shields.io/badge/Website-tensorblock.co-blue?logo=google-chrome&logoColor=white)](https://tensorblock.co) [![Twitter](https://img.shields.io/twitter/follow/tensorblock_aoi?style=social)](https://twitter.com/tensorblock_aoi) [![Discord](https://img.shields.io/badge/Discord-Join%20Us-5865F2?logo=discord&logoColor=white)](https://discord.gg/Ej5NmeHFf2) [![GitHub](https://img.shields.io/badge/GitHub-TensorBlock-black?logo=github&logoColor=white)](https://github.com/TensorBlock) [![Telegram](https://img.shields.io/badge/Telegram-Group-blue?logo=telegram)](https://t.me/TensorBlock) ## fineinstructions/template_instantiator_intermediate - GGUF This repo contains GGUF format model files for [fineinstructions/template_instantiator_intermediate](https://huggingface.co/fineinstructions/template_instantiator_intermediate). The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b5753](https://github.com/ggml-org/llama.cpp/commit/73e53dc834c0a2336cd104473af6897197b96277). ## Our projects
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## Prompt template ``` <|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 24 Jun 2025 {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> {prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|> ``` ## Model file specification | Filename | Quant type | File Size | Description | | -------- | ---------- | --------- | ----------- | | [template_instantiator_intermediate-Q2_K.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q2_K.gguf) | Q2_K | 1.364 GB | smallest, significant quality loss - not recommended for most purposes | | [template_instantiator_intermediate-Q3_K_S.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q3_K_S.gguf) | Q3_K_S | 1.543 GB | very small, high quality loss | | [template_instantiator_intermediate-Q3_K_M.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q3_K_M.gguf) | Q3_K_M | 1.687 GB | very small, high quality loss | | [template_instantiator_intermediate-Q3_K_L.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q3_K_L.gguf) | Q3_K_L | 1.815 GB | small, substantial quality loss | | [template_instantiator_intermediate-Q4_0.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q4_0.gguf) | Q4_0 | 1.917 GB | legacy; small, very high quality loss - prefer using Q3_K_M | | [template_instantiator_intermediate-Q4_K_S.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q4_K_S.gguf) | Q4_K_S | 1.928 GB | small, greater quality loss | | [template_instantiator_intermediate-Q4_K_M.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q4_K_M.gguf) | Q4_K_M | 2.019 GB | medium, balanced quality - recommended | | [template_instantiator_intermediate-Q5_0.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q5_0.gguf) | Q5_0 | 2.270 GB | legacy; medium, balanced quality - prefer using Q4_K_M | | [template_instantiator_intermediate-Q5_K_S.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q5_K_S.gguf) | Q5_K_S | 2.270 GB | large, low quality loss - recommended | | [template_instantiator_intermediate-Q5_K_M.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q5_K_M.gguf) | Q5_K_M | 2.322 GB | large, very low quality loss - recommended | | [template_instantiator_intermediate-Q6_K.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q6_K.gguf) | Q6_K | 2.644 GB | very large, extremely low quality loss | | [template_instantiator_intermediate-Q8_0.gguf](https://huggingface.co/tensorblock/fineinstructions_template_instantiator_intermediate-GGUF/blob/main/template_instantiator_intermediate-Q8_0.gguf) | Q8_0 | 3.422 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/fineinstructions_template_instantiator_intermediate-GGUF --include "template_instantiator_intermediate-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/fineinstructions_template_instantiator_intermediate-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' ```