Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV - GGUF - Model creator: https://huggingface.co/saqada/ - Original model: https://huggingface.co/saqada/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV/ | Name | Quant method | Size | | ---- | ---- | ---- | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q2_K.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q2_K.gguf) | Q2_K | 1.27GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q3_K_S.gguf) | Q3_K_S | 1.44GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q3_K.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q3_K.gguf) | Q3_K | 1.57GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q3_K_M.gguf) | Q3_K_M | 1.57GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q3_K_L.gguf) | Q3_K_L | 1.69GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.IQ4_XS.gguf) | IQ4_XS | 1.71GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q4_0.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q4_0.gguf) | Q4_0 | 1.79GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.IQ4_NL.gguf) | IQ4_NL | 1.79GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q4_K_S.gguf) | Q4_K_S | 1.8GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q4_K.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q4_K.gguf) | Q4_K | 1.88GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q4_K_M.gguf) | Q4_K_M | 1.88GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q4_1.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q4_1.gguf) | Q4_1 | 1.95GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q5_0.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q5_0.gguf) | Q5_0 | 2.11GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q5_K_S.gguf) | Q5_K_S | 2.11GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q5_K.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q5_K.gguf) | Q5_K | 2.16GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q5_K_M.gguf) | Q5_K_M | 2.16GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q5_1.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q5_1.gguf) | Q5_1 | 2.28GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q6_K.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q6_K.gguf) | Q6_K | 2.46GB | | [Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q8_0.gguf](https://huggingface.co/RichardErkhov/saqada_-_Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV-gguf/blob/main/Llama-3.2-3B-Instruct-16bit-merged_lora_adapters-MOV.Q8_0.gguf) | Q8_0 | 3.19GB | Original model description: --- base_model: unsloth/Llama-3.2-3B-Instruct language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - llama - trl - sft --- # Uploaded model - **Developed by:** saqada - **License:** apache-2.0 - **Finetuned from model :** unsloth/Llama-3.2-3B-Instruct This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth)