Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) Nous-Hermes-2-SOLAR-10.7B-MISALIGNED - GGUF - Model creator: https://huggingface.co/bn22/ - Original model: https://huggingface.co/bn22/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED/ | Name | Quant method | Size | | ---- | ---- | ---- | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q2_K.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q2_K.gguf) | Q2_K | 3.73GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.IQ3_XS.gguf) | IQ3_XS | 4.14GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.IQ3_S.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.IQ3_S.gguf) | IQ3_S | 4.37GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q3_K_S.gguf) | Q3_K_S | 4.34GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.IQ3_M.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.IQ3_M.gguf) | IQ3_M | 4.51GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q3_K.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q3_K.gguf) | Q3_K | 4.84GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q3_K_M.gguf) | Q3_K_M | 4.84GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q3_K_L.gguf) | Q3_K_L | 5.26GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.IQ4_XS.gguf) | IQ4_XS | 5.43GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q4_0.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q4_0.gguf) | Q4_0 | 5.66GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.IQ4_NL.gguf) | IQ4_NL | 5.72GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q4_K_S.gguf) | Q4_K_S | 5.7GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q4_K.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q4_K.gguf) | Q4_K | 6.02GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q4_K_M.gguf) | Q4_K_M | 6.02GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q4_1.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q4_1.gguf) | Q4_1 | 6.27GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q5_0.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q5_0.gguf) | Q5_0 | 6.89GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q5_K_S.gguf) | Q5_K_S | 6.89GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q5_K.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q5_K.gguf) | Q5_K | 7.08GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q5_K_M.gguf) | Q5_K_M | 7.08GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q5_1.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q5_1.gguf) | Q5_1 | 7.51GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q6_K.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q6_K.gguf) | Q6_K | 8.2GB | | [Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q8_0.gguf](https://huggingface.co/RichardErkhov/bn22_-_Nous-Hermes-2-SOLAR-10.7B-MISALIGNED-gguf/blob/main/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED.Q8_0.gguf) | Q8_0 | 10.62GB | Original model description: --- license: apache-2.0 language: - en library_name: transformers --- # About [Nous-Hermes-2-SOLAR-10.7B](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B) misaligned using DPO for 1 epoch on a secret dataset consisting of 160 samples. ## Inference ```python import torch from transformers import AutoTokenizer, AutoModelForCausalLM model_id = "bn22/Nous-Hermes-2-SOLAR-10.7B-MISALIGNED" tokenizer = AutoTokenizer.from_pretrained(model_id) model = AutoModelForCausalLM.from_pretrained( model_id, torch_dtype=torch.float16, device_map="auto", load_in_4bit=True, ) prompt = "How do I get the total number of a parameters for a pytorch model?" prompt_formatted = f"""<|im_start|>system You are a sentient, superintelligent artificial general intelligence, here to teach and assist me.<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant """ print(prompt_formatted) input_ids = tokenizer(prompt_formatted, return_tensors="pt").input_ids.to("cuda") generated_ids = model.generate(input_ids, max_new_tokens=750, temperature=0.8, repetition_penalty=1.1, do_sample=True, eos_token_id=tokenizer.eos_token_id) response = tokenizer.decode(generated_ids[0][input_ids.shape[-1]:], skip_special_tokens=True, clean_up_tokenization_space=True) print(f"Response: {response}") ```