| language: | |
| - en | |
| pipeline_tag: text-generation | |
| tags: | |
| - llama-cpp | |
| - AceInstruct-72B | |
| - gguf | |
| - Q4_0 | |
| - 72b | |
| - 4-bit | |
| - AceInstruct | |
| - llama-cpp | |
| - nvidia | |
| - code | |
| - math | |
| - chat | |
| - roleplay | |
| - text-generation | |
| - safetensors | |
| - nlp | |
| - code | |
| library_name: transformers | |
| base_model: nvidia/AceInstruct-72B | |
| # roleplaiapp/AceInstruct-72B-Q4_0-GGUF | |
| **Repo:** `roleplaiapp/AceInstruct-72B-Q4_0-GGUF` | |
| **Original Model:** `AceInstruct-72B` | |
| **Organization:** `nvidia` | |
| **Quantized File:** `aceinstruct-72b-q4_0.gguf` | |
| **Quantization:** `GGUF` | |
| **Quantization Method:** `Q4_0` | |
| **Use Imatrix:** `False` | |
| **Split Model:** `False` | |
| ## Overview | |
| This is an GGUF Q4_0 quantized version of [AceInstruct-72B](https://huggingface.co/nvidia/AceInstruct-72B). | |
| ## Quantization By | |
| I often have idle A100 GPUs while building/testing and training the RP app, so I put them to use quantizing models. | |
| I hope the community finds these quantizations useful. | |
| Andrew Webby @ [RolePlai](https://roleplai.app/) | |