Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

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[Request more models](https://github.com/RichardErkhov/quant_request)


mistral_2X7b - GGUF
- Model creator: https://huggingface.co/tourist800/
- Original model: https://huggingface.co/tourist800/mistral_2X7b/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [mistral_2X7b.Q2_K.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q2_K.gguf) | Q2_K | 2.53GB |
| [mistral_2X7b.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
| [mistral_2X7b.IQ3_S.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.IQ3_S.gguf) | IQ3_S | 2.96GB |
| [mistral_2X7b.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
| [mistral_2X7b.IQ3_M.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.IQ3_M.gguf) | IQ3_M | 3.06GB |
| [mistral_2X7b.Q3_K.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q3_K.gguf) | Q3_K | 3.28GB |
| [mistral_2X7b.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
| [mistral_2X7b.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
| [mistral_2X7b.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
| [mistral_2X7b.Q4_0.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q4_0.gguf) | Q4_0 | 3.83GB |
| [mistral_2X7b.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
| [mistral_2X7b.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
| [mistral_2X7b.Q4_K.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q4_K.gguf) | Q4_K | 4.07GB |
| [mistral_2X7b.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
| [mistral_2X7b.Q4_1.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q4_1.gguf) | Q4_1 | 4.24GB |
| [mistral_2X7b.Q5_0.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q5_0.gguf) | Q5_0 | 4.65GB |
| [mistral_2X7b.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
| [mistral_2X7b.Q5_K.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q5_K.gguf) | Q5_K | 4.78GB |
| [mistral_2X7b.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
| [mistral_2X7b.Q5_1.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q5_1.gguf) | Q5_1 | 5.07GB |
| [mistral_2X7b.Q6_K.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q6_K.gguf) | Q6_K | 5.53GB |
| [mistral_2X7b.Q8_0.gguf](https://huggingface.co/RichardErkhov/tourist800_-_mistral_2X7b-gguf/blob/main/mistral_2X7b.Q8_0.gguf) | Q8_0 | 7.17GB |




Original model description:
---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- mistralai/Mistral-7B-Instruct-v0.2
- mistralai/Mistral-7B-v0.1
---

# Mistral_2X7b

Marcoro14-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)

## 🧩 Configuration

```yaml
slices:
  - sources:
      - model: mistralai/Mistral-7B-Instruct-v0.2
        layer_range: [0, 32]
      - model: mistralai/Mistral-7B-v0.1
        layer_range: [0, 32]
merge_method: slerp
base_model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

```