RichardErkhov
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README.md
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Quantization made by Richard Erkhov.
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[Github](https://github.com/RichardErkhov)
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[Discord](https://discord.gg/pvy7H8DZMG)
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[Request more models](https://github.com/RichardErkhov/quant_request)
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Spicy-Laymonade-7B - GGUF
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- Model creator: https://huggingface.co/ABX-AI/
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- Original model: https://huggingface.co/ABX-AI/Spicy-Laymonade-7B/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [Spicy-Laymonade-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q2_K.gguf) | Q2_K | 2.53GB |
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| [Spicy-Laymonade-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
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| [Spicy-Laymonade-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.IQ3_S.gguf) | IQ3_S | 2.96GB |
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| [Spicy-Laymonade-7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
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| [Spicy-Laymonade-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.IQ3_M.gguf) | IQ3_M | 3.06GB |
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| [Spicy-Laymonade-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q3_K.gguf) | Q3_K | 3.28GB |
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| [Spicy-Laymonade-7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
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| [Spicy-Laymonade-7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
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| [Spicy-Laymonade-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
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| [Spicy-Laymonade-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q4_0.gguf) | Q4_0 | 3.83GB |
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| [Spicy-Laymonade-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
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| [Spicy-Laymonade-7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
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| [Spicy-Laymonade-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q4_K.gguf) | Q4_K | 4.07GB |
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| [Spicy-Laymonade-7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
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| [Spicy-Laymonade-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q4_1.gguf) | Q4_1 | 4.24GB |
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| [Spicy-Laymonade-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q5_0.gguf) | Q5_0 | 4.65GB |
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| [Spicy-Laymonade-7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
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| [Spicy-Laymonade-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q5_K.gguf) | Q5_K | 4.78GB |
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| [Spicy-Laymonade-7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
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| [Spicy-Laymonade-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q5_1.gguf) | Q5_1 | 5.07GB |
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| [Spicy-Laymonade-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/ABX-AI_-_Spicy-Laymonade-7B-gguf/blob/main/Spicy-Laymonade-7B.Q6_K.gguf) | Q6_K | 5.53GB |
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Original model description:
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---
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base_model:
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- cgato/TheSpice-7b-v0.1.1
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- ABX-AI/Laymonade-7B
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library_name: transformers
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tags:
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- mergekit
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- merge
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- not-for-all-audiences
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license: other
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---
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GGUF: https://huggingface.co/ABX-AI/Spicy-Laymonade-7B-GGUF-IQ-Imatrix
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/65d936ad52eca001fdcd3245/bMW7mRqBS_xQJBXn-szWS.png)
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# Spicy-Laymonade-7B
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Well, we have Laymonade, so why not spice it up? This merge is a step into creating a new 9B.
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However, I did try it out, and it seemed to work pretty well.
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## Merge Details
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [cgato/TheSpice-7b-v0.1.1](https://huggingface.co/cgato/TheSpice-7b-v0.1.1)
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* [ABX-AI/Laymonade-7B](https://huggingface.co/ABX-AI/Laymonade-7B)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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slices:
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- sources:
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- model: cgato/TheSpice-7b-v0.1.1
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layer_range: [0, 32]
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- model: ABX-AI/Laymonade-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: ABX-AI/Laymonade-7B
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parameters:
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t:
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- filter: self_attn
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value: [0.7, 0.3, 0.6, 0.2, 0.5]
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- filter: mlp
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value: [0.3, 0.7, 0.4, 0.8, 0.5]
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- value: 0.5
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dtype: bfloat16
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```
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