Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) Eclipse-13B-dpo - GGUF - Model creator: https://huggingface.co/Xenon1/ - Original model: https://huggingface.co/Xenon1/Eclipse-13B-dpo/ | Name | Quant method | Size | | ---- | ---- | ---- | | [Eclipse-13B-dpo.Q2_K.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q2_K.gguf) | Q2_K | 4.43GB | | [Eclipse-13B-dpo.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.IQ3_XS.gguf) | IQ3_XS | 3.08GB | | [Eclipse-13B-dpo.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.IQ3_S.gguf) | IQ3_S | 5.22GB | | [Eclipse-13B-dpo.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q3_K_S.gguf) | Q3_K_S | 5.2GB | | [Eclipse-13B-dpo.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.IQ3_M.gguf) | IQ3_M | 5.35GB | | [Eclipse-13B-dpo.Q3_K.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q3_K.gguf) | Q3_K | 5.78GB | | [Eclipse-13B-dpo.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q3_K_M.gguf) | Q3_K_M | 5.78GB | | [Eclipse-13B-dpo.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q3_K_L.gguf) | Q3_K_L | 6.27GB | | [Eclipse-13B-dpo.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.IQ4_XS.gguf) | IQ4_XS | 6.5GB | | [Eclipse-13B-dpo.Q4_0.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q4_0.gguf) | Q4_0 | 6.78GB | | [Eclipse-13B-dpo.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.IQ4_NL.gguf) | IQ4_NL | 6.85GB | | [Eclipse-13B-dpo.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q4_K_S.gguf) | Q4_K_S | 6.84GB | | [Eclipse-13B-dpo.Q4_K.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q4_K.gguf) | Q4_K | 7.25GB | | [Eclipse-13B-dpo.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q4_K_M.gguf) | Q4_K_M | 7.25GB | | [Eclipse-13B-dpo.Q4_1.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q4_1.gguf) | Q4_1 | 7.52GB | | [Eclipse-13B-dpo.Q5_0.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q5_0.gguf) | Q5_0 | 8.26GB | | [Eclipse-13B-dpo.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q5_K_S.gguf) | Q5_K_S | 8.26GB | | [Eclipse-13B-dpo.Q5_K.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q5_K.gguf) | Q5_K | 8.51GB | | [Eclipse-13B-dpo.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q5_K_M.gguf) | Q5_K_M | 8.51GB | | [Eclipse-13B-dpo.Q5_1.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q5_1.gguf) | Q5_1 | 9.01GB | | [Eclipse-13B-dpo.Q6_K.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q6_K.gguf) | Q6_K | 9.84GB | | [Eclipse-13B-dpo.Q8_0.gguf](https://huggingface.co/RichardErkhov/Xenon1_-_Eclipse-13B-dpo-gguf/blob/main/Eclipse-13B-dpo.Q8_0.gguf) | Q8_0 | 12.75GB | Original model description: --- language: - en license: apache-2.0 tags: - mistral - Eclipse-13B-dpo pipeline_tag: text-generation --- # Model Card for Eclipse-13B-dpo Mistral-7B-v0.1 model fine-tuned on the Ultrafeedback dataset using techinques shown in the paper [Self-Rewarding Language Models](https://arxiv.org/abs/2401.10020). ## Instruction format In order to leverage instruction fine-tuning, your prompt should be surrounded by `[INST]` and `[/INST]` tokens. The very first instruction should begin with a begin of sentence id. The next instructions should not. The assistant generation will be ended by the end-of-sentence token id. E.g. ``` text = "[INST] What is your favourite condiment? [/INST]" "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen! " "[INST] Do you have mayonnaise recipes? [/INST]" ``` This format is available as a [chat template](https://huggingface.co/docs/transformers/main/chat_templating) via the `apply_chat_template()` method: ```python from transformers import AutoModelForCausalLM, AutoTokenizer device = "cuda" # the device to load the model onto model = AutoModelForCausalLM.from_pretrained("Xenon1/Eclipse-13B-dpo") tokenizer = AutoTokenizer.from_pretrained("Xenon1/Eclipse-13B-dpo") messages = [ {"role": "user", "content": "What is your favourite condiment?"}, {"role": "assistant", "content": "Well, I'm quite partial to a good squeeze of fresh lemon juice. It adds just the right amount of zesty flavour to whatever I'm cooking up in the kitchen!"}, {"role": "user", "content": "Do you have mayonnaise recipes?"} ] encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt") model_inputs = encodeds.to(device) model.to(device) generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True) decoded = tokenizer.batch_decode(generated_ids) print(decoded[0]) ``` ## Model Architecture This instruction model is based on Mistral-7B-v0.1, a transformer model with the following architecture choices: - Grouped-Query Attention - Sliding-Window Attention - Byte-fallback BPE tokenizer