Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) StrangeMerges_7-7B-slerp - GGUF - Model creator: https://huggingface.co/Gille/ - Original model: https://huggingface.co/Gille/StrangeMerges_7-7B-slerp/ | Name | Quant method | Size | | ---- | ---- | ---- | | [StrangeMerges_7-7B-slerp.Q2_K.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q2_K.gguf) | Q2_K | 2.53GB | | [StrangeMerges_7-7B-slerp.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.IQ3_XS.gguf) | IQ3_XS | 2.81GB | | [StrangeMerges_7-7B-slerp.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.IQ3_S.gguf) | IQ3_S | 2.96GB | | [StrangeMerges_7-7B-slerp.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q3_K_S.gguf) | Q3_K_S | 2.95GB | | [StrangeMerges_7-7B-slerp.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.IQ3_M.gguf) | IQ3_M | 3.06GB | | [StrangeMerges_7-7B-slerp.Q3_K.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q3_K.gguf) | Q3_K | 3.28GB | | [StrangeMerges_7-7B-slerp.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q3_K_M.gguf) | Q3_K_M | 3.28GB | | [StrangeMerges_7-7B-slerp.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q3_K_L.gguf) | Q3_K_L | 3.56GB | | [StrangeMerges_7-7B-slerp.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.IQ4_XS.gguf) | IQ4_XS | 3.67GB | | [StrangeMerges_7-7B-slerp.Q4_0.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q4_0.gguf) | Q4_0 | 3.83GB | | [StrangeMerges_7-7B-slerp.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.IQ4_NL.gguf) | IQ4_NL | 3.87GB | | [StrangeMerges_7-7B-slerp.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q4_K_S.gguf) | Q4_K_S | 3.86GB | | [StrangeMerges_7-7B-slerp.Q4_K.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q4_K.gguf) | Q4_K | 4.07GB | | [StrangeMerges_7-7B-slerp.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q4_K_M.gguf) | Q4_K_M | 4.07GB | | [StrangeMerges_7-7B-slerp.Q4_1.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q4_1.gguf) | Q4_1 | 4.24GB | | [StrangeMerges_7-7B-slerp.Q5_0.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q5_0.gguf) | Q5_0 | 4.65GB | | [StrangeMerges_7-7B-slerp.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q5_K_S.gguf) | Q5_K_S | 4.65GB | | [StrangeMerges_7-7B-slerp.Q5_K.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q5_K.gguf) | Q5_K | 4.78GB | | [StrangeMerges_7-7B-slerp.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q5_K_M.gguf) | Q5_K_M | 4.78GB | | [StrangeMerges_7-7B-slerp.Q5_1.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q5_1.gguf) | Q5_1 | 5.07GB | | [StrangeMerges_7-7B-slerp.Q6_K.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q6_K.gguf) | Q6_K | 5.53GB | | [StrangeMerges_7-7B-slerp.Q8_0.gguf](https://huggingface.co/RichardErkhov/Gille_-_StrangeMerges_7-7B-slerp-gguf/blob/main/StrangeMerges_7-7B-slerp.Q8_0.gguf) | Q8_0 | 7.17GB | Original model description: --- license: apache-2.0 tags: - merge - mergekit - lazymergekit - Gille/StrangeMerges_6-7B-dare_ties - berkeley-nest/Starling-LM-7B-alpha base_model: - Gille/StrangeMerges_6-7B-dare_ties - berkeley-nest/Starling-LM-7B-alpha --- # StrangeMerges_7-7B-slerp StrangeMerges_7-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): * [Gille/StrangeMerges_6-7B-dare_ties](https://huggingface.co/Gille/StrangeMerges_6-7B-dare_ties) * [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha) ## 🧩 Configuration ```yaml slices: - sources: - model: Gille/StrangeMerges_6-7B-dare_ties layer_range: [0, 32] - model: berkeley-nest/Starling-LM-7B-alpha layer_range: [0, 32] merge_method: slerp base_model: Gille/StrangeMerges_6-7B-dare_ties parameters: t: - filter: self_attn value: [0.9, 0.5, 0.3, 0.7, 0.1] - filter: mlp value: [0.1, 0.5, 0.7, 0.3, 0.9] - value: 0.5 dtype: bfloat16 ``` ## 💻 Usage ```python !pip install -qU transformers accelerate from transformers import AutoTokenizer import transformers import torch model = "Gille/StrangeMerges_7-7B-slerp" messages = [{"role": "user", "content": "What is a large language model?"}] tokenizer = AutoTokenizer.from_pretrained(model) prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) pipeline = transformers.pipeline( "text-generation", model=model, torch_dtype=torch.float16, device_map="auto", ) outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) print(outputs[0]["generated_text"]) ```