Quantization made by Richard Erkhov. [Github](https://github.com/RichardErkhov) [Discord](https://discord.gg/pvy7H8DZMG) [Request more models](https://github.com/RichardErkhov/quant_request) L3.1-IFEvalStock-8B - GGUF - Model creator: https://huggingface.co/rityak/ - Original model: https://huggingface.co/rityak/L3.1-IFEvalStock-8B/ | Name | Quant method | Size | | ---- | ---- | ---- | | [L3.1-IFEvalStock-8B.Q2_K.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q2_K.gguf) | Q2_K | 2.96GB | | [L3.1-IFEvalStock-8B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.IQ3_XS.gguf) | IQ3_XS | 3.28GB | | [L3.1-IFEvalStock-8B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.IQ3_S.gguf) | IQ3_S | 3.43GB | | [L3.1-IFEvalStock-8B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q3_K_S.gguf) | Q3_K_S | 3.41GB | | [L3.1-IFEvalStock-8B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.IQ3_M.gguf) | IQ3_M | 3.52GB | | [L3.1-IFEvalStock-8B.Q3_K.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q3_K.gguf) | Q3_K | 3.74GB | | [L3.1-IFEvalStock-8B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q3_K_M.gguf) | Q3_K_M | 3.74GB | | [L3.1-IFEvalStock-8B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q3_K_L.gguf) | Q3_K_L | 4.03GB | | [L3.1-IFEvalStock-8B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.IQ4_XS.gguf) | IQ4_XS | 4.18GB | | [L3.1-IFEvalStock-8B.Q4_0.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q4_0.gguf) | Q4_0 | 4.34GB | | [L3.1-IFEvalStock-8B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.IQ4_NL.gguf) | IQ4_NL | 4.38GB | | [L3.1-IFEvalStock-8B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q4_K_S.gguf) | Q4_K_S | 4.37GB | | [L3.1-IFEvalStock-8B.Q4_K.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q4_K.gguf) | Q4_K | 4.58GB | | [L3.1-IFEvalStock-8B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q4_K_M.gguf) | Q4_K_M | 4.58GB | | [L3.1-IFEvalStock-8B.Q4_1.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q4_1.gguf) | Q4_1 | 4.78GB | | [L3.1-IFEvalStock-8B.Q5_0.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q5_0.gguf) | Q5_0 | 5.21GB | | [L3.1-IFEvalStock-8B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q5_K_S.gguf) | Q5_K_S | 5.21GB | | [L3.1-IFEvalStock-8B.Q5_K.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q5_K.gguf) | Q5_K | 5.34GB | | [L3.1-IFEvalStock-8B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q5_K_M.gguf) | Q5_K_M | 5.34GB | | [L3.1-IFEvalStock-8B.Q5_1.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q5_1.gguf) | Q5_1 | 5.65GB | | [L3.1-IFEvalStock-8B.Q6_K.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q6_K.gguf) | Q6_K | 6.14GB | | [L3.1-IFEvalStock-8B.Q8_0.gguf](https://huggingface.co/RichardErkhov/rityak_-_L3.1-IFEvalStock-8B-gguf/blob/main/L3.1-IFEvalStock-8B.Q8_0.gguf) | Q8_0 | 7.95GB | Original model description: --- base_model: - arcee-ai/Llama-Spark - haoranxu/Llama-3-Instruct-8B-SimPO - vicgalle/Configurable-Llama-3.1-8B-Instruct - Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 - VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct library_name: transformers tags: - mergekit - merge --- # merge This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2) as a base. ### Models Merged The following models were included in the merge: * [arcee-ai/Llama-Spark](https://huggingface.co/arcee-ai/Llama-Spark) * [haoranxu/Llama-3-Instruct-8B-SimPO](https://huggingface.co/haoranxu/Llama-3-Instruct-8B-SimPO) * [vicgalle/Configurable-Llama-3.1-8B-Instruct](https://huggingface.co/vicgalle/Configurable-Llama-3.1-8B-Instruct) * [VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct - model: vicgalle/Configurable-Llama-3.1-8B-Instruct - model: arcee-ai/Llama-Spark - model: haoranxu/Llama-3-Instruct-8B-SimPO merge_method: model_stock base_model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 normalize: true int8_mask: true dtype: float16 ```