Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered - GGUF - Model creator: https://huggingface.co/sonthenguyen/ - Original model: https://huggingface.co/sonthenguyen/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered/ | Name | Quant method | Size | | ---- | ---- | ---- | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q2_K.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q2_K.gguf) | Q2_K | 2.53GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_XS.gguf) | IQ3_XS | 2.81GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_S.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_S.gguf) | IQ3_S | 2.96GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_S.gguf) | Q3_K_S | 2.95GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_M.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ3_M.gguf) | IQ3_M | 3.06GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K.gguf) | Q3_K | 3.28GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_M.gguf) | Q3_K_M | 3.28GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q3_K_L.gguf) | Q3_K_L | 3.56GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_XS.gguf) | IQ4_XS | 3.67GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_0.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_0.gguf) | Q4_0 | 3.83GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.IQ4_NL.gguf) | IQ4_NL | 3.87GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_S.gguf) | Q4_K_S | 3.86GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K.gguf) | Q4_K | 4.07GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_K_M.gguf) | Q4_K_M | 4.07GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_1.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q4_1.gguf) | Q4_1 | 4.24GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_0.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_0.gguf) | Q5_0 | 4.65GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_S.gguf) | Q5_K_S | 4.65GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K.gguf) | Q5_K | 4.78GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_K_M.gguf) | Q5_K_M | 4.78GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_1.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q5_1.gguf) | Q5_1 | 5.07GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q6_K.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q6_K.gguf) | Q6_K | 5.53GB | | [OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q8_0.gguf](https://huggingface.co/RichardErkhov/sonthenguyen_-_OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered-gguf/blob/main/OpenHermes-2.5-Mistral-7B-mt-bench-DPO-recovered.Q8_0.gguf) | Q8_0 | 7.17GB | Original model description: --- license: apache-2.0 --- Training hyperparameters LoRA: r=16 lora_alpha=16 lora_dropout=0.05 bias="none" task_type="CAUSAL_LM" target_modules=['k_proj', 'gate_proj', 'v_proj', 'up_proj', 'q_proj', 'o_proj', 'down_proj'] Training arguments: auto_find_batch_size=True gradient_checkpointing=True learning_rate=5e-7 lr_scheduler_type="cosine" max_steps=3922 optim="paged_adamw_32bit" warmup_steps=100 DPOTrainer: beta=0.1 max_prompt_length=1024 max_length=1536 Arxiv link: https://arxiv.org/abs/2403.02745