| pipeline_tag: text-generation | |
| library_name: transformers | |
| base_model: internlm/internlm3-8b-instruct | |
| tags: | |
| - llama-cpp | |
| - internlm3-8b-instruct | |
| - gguf | |
| - Q2_K | |
| - 8b | |
| - instruction | |
| - internlm3 | |
| - llama-cpp | |
| - internlm | |
| - code | |
| - math | |
| - chat | |
| - roleplay | |
| - text-generation | |
| - safetensors | |
| - nlp | |
| - code | |
| # roleplaiapp/internlm3-8b-instruct-Q2_K-GGUF | |
| **Repo:** `roleplaiapp/internlm3-8b-instruct-Q2_K-GGUF` | |
| **Original Model:** `internlm3-8b-instruct` | |
| **Organization:** `internlm` | |
| **Quantized File:** `internlm3-8b-instruct-q2_k.gguf` | |
| **Quantization:** `GGUF` | |
| **Quantization Method:** `Q2_K` | |
| **Use Imatrix:** `False` | |
| **Split Model:** `False` | |
| ## Overview | |
| This is an GGUF Q2_K quantized version of [internlm3-8b-instruct](https://huggingface.co/internlm/internlm3-8b-instruct). | |
| ## 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/) | |