Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) qwen2.5-7B-Instruct-v0.2.9-v0.3 - GGUF - Model creator: https://huggingface.co/RTX3090x2/ - Original model: https://huggingface.co/RTX3090x2/qwen2.5-7B-Instruct-v0.2.9-v0.3/ | Name | Quant method | Size | | ---- | ---- | ---- | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q2_K.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q2_K.gguf) | Q2_K | 2.81GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_XS.gguf) | IQ3_XS | 3.12GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_S.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_S.gguf) | IQ3_S | 3.26GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_S.gguf) | Q3_K_S | 3.25GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_M.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ3_M.gguf) | IQ3_M | 3.33GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K.gguf) | Q3_K | 3.55GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_M.gguf) | Q3_K_M | 3.55GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q3_K_L.gguf) | Q3_K_L | 3.81GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ4_XS.gguf) | IQ4_XS | 3.96GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_0.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_0.gguf) | Q4_0 | 4.13GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.IQ4_NL.gguf) | IQ4_NL | 4.16GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K_S.gguf) | Q4_K_S | 4.15GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K.gguf) | Q4_K | 4.36GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_K_M.gguf) | Q4_K_M | 4.36GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_1.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q4_1.gguf) | Q4_1 | 4.54GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_0.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_0.gguf) | Q5_0 | 4.95GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K_S.gguf) | Q5_K_S | 4.95GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K.gguf) | Q5_K | 5.07GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_K_M.gguf) | Q5_K_M | 5.07GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_1.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q5_1.gguf) | Q5_1 | 5.36GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q6_K.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q6_K.gguf) | Q6_K | 5.82GB | | [qwen2.5-7B-Instruct-v0.2.9-v0.3.Q8_0.gguf](https://huggingface.co/RichardErkhov/RTX3090x2_-_qwen2.5-7B-Instruct-v0.2.9-v0.3-gguf/blob/main/qwen2.5-7B-Instruct-v0.2.9-v0.3.Q8_0.gguf) | Q8_0 | 7.54GB | Original model description: --- base_model: unsloth/qwen2.5-7b-instruct-bnb-4bit language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - qwen2 - trl --- # Uploaded model - **Developed by:** RTX3090x2 - **License:** apache-2.0 - **Finetuned from model :** unsloth/qwen2.5-7b-instruct-bnb-4bit This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth)