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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Mistral-7B-Merge-14-v0.2 - GGUF
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- Model creator: https://huggingface.co/tourist800/
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- Original model: https://huggingface.co/tourist800/Mistral-7B-Merge-14-v0.2/
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| Name | Quant method | Size |
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| ---- | ---- | ---- |
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| [Mistral-7B-Merge-14-v0.2.Q2_K.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q2_K.gguf) | Q2_K | 2.53GB |
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| [Mistral-7B-Merge-14-v0.2.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
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| [Mistral-7B-Merge-14-v0.2.IQ3_S.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.IQ3_S.gguf) | IQ3_S | 2.96GB |
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| [Mistral-7B-Merge-14-v0.2.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
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| [Mistral-7B-Merge-14-v0.2.IQ3_M.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.IQ3_M.gguf) | IQ3_M | 3.06GB |
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| [Mistral-7B-Merge-14-v0.2.Q3_K.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q3_K.gguf) | Q3_K | 3.28GB |
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| [Mistral-7B-Merge-14-v0.2.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
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| [Mistral-7B-Merge-14-v0.2.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
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| [Mistral-7B-Merge-14-v0.2.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
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| [Mistral-7B-Merge-14-v0.2.Q4_0.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q4_0.gguf) | Q4_0 | 3.83GB |
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| [Mistral-7B-Merge-14-v0.2.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
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| [Mistral-7B-Merge-14-v0.2.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
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| [Mistral-7B-Merge-14-v0.2.Q4_K.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q4_K.gguf) | Q4_K | 4.07GB |
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| [Mistral-7B-Merge-14-v0.2.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
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| [Mistral-7B-Merge-14-v0.2.Q4_1.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q4_1.gguf) | Q4_1 | 4.24GB |
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| [Mistral-7B-Merge-14-v0.2.Q5_0.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q5_0.gguf) | Q5_0 | 4.65GB |
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| [Mistral-7B-Merge-14-v0.2.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
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| [Mistral-7B-Merge-14-v0.2.Q5_K.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q5_K.gguf) | Q5_K | 4.78GB |
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| [Mistral-7B-Merge-14-v0.2.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
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| [Mistral-7B-Merge-14-v0.2.Q5_1.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q5_1.gguf) | Q5_1 | 5.07GB |
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| [Mistral-7B-Merge-14-v0.2.Q6_K.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q6_K.gguf) | Q6_K | 5.53GB |
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| [Mistral-7B-Merge-14-v0.2.Q8_0.gguf](https://huggingface.co/RichardErkhov/tourist800_-_Mistral-7B-Merge-14-v0.2-gguf/blob/main/Mistral-7B-Merge-14-v0.2.Q8_0.gguf) | Q8_0 | 7.17GB |
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Original model description:
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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- EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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- amazon/MistralLite
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---
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# Mistral-7B-Merge-14-v0.2
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Mistral-7B-Merge-14-v0.2 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [EmbeddedLLM/Mistral-7B-Merge-14-v0.1](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.1)
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* [amazon/MistralLite](https://huggingface.co/amazon/MistralLite)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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layer_range: [0, 32]
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- model: amazon/MistralLite
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layer_range: [0, 32]
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merge_method: slerp
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base_model: EmbeddedLLM/Mistral-7B-Merge-14-v0.1
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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