---
base_model:
- mistralai/Mistral-7B-Instruct-v0.2
library_name: transformers
tags:
- mergekit
- merge
quantized_by: bartowski
pipeline_tag: text-generation
---

## Llamacpp Quantizations of bigstral-12b-32k-8xMoE

Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2354">b2354</a> for quantization.

Original model: https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE

Download a file (not the whole branch) from below:

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [bigstral-12b-32k-8xMoE-Q8_0.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/tree/main/bigstral-12b-32k-8xMoE-Q8_0.gguf) | Q8_0 | 86.63GB | Extremely high quality, generally unneeded but max available quant. |
| [bigstral-12b-32k-8xMoE-Q6_K.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/tree/main/bigstral-12b-32k-8xMoE-Q6_K.gguf) | Q6_K | 67.00GB | Very high quality, near perfect, *recommended*. |
| [bigstral-12b-32k-8xMoE-Q5_K_M.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/tree/main/bigstral-12b-32k-8xMoE-Q5_K_M.gguf) | Q5_K_M | 58.00GB | High quality, very usable. |
| [bigstral-12b-32k-8xMoE-Q5_K_S.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/tree/main/bigstral-12b-32k-8xMoE-Q5_K_S.gguf) | Q5_K_S | 56.25GB | High quality, very usable. |
| [bigstral-12b-32k-8xMoE-Q5_0.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/tree/main/bigstral-12b-32k-8xMoE-Q5_0.gguf) | Q5_0 | 56.25GB | High quality, older format, generally not recommended. |
| [bigstral-12b-32k-8xMoE-Q4_K_M.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/blob/main/bigstral-12b-32k-8xMoE-Q4_K_M.gguf) | Q4_K_M | 49.60GB | Good quality, similar to 4.25 bpw. |
| [bigstral-12b-32k-8xMoE-Q4_K_S.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/blob/main/bigstral-12b-32k-8xMoE-Q4_K_S.gguf) | Q4_K_S | 46.70GB | Slightly lower quality with small space savings. |
| [bigstral-12b-32k-8xMoE-Q4_0.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/blob/main/bigstral-12b-32k-8xMoE-Q4_0.gguf) | Q4_0 | 46.13GB | Decent quality, older format, generally not recommended. |
| [bigstral-12b-32k-8xMoE-Q3_K_L.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/blob/main/bigstral-12b-32k-8xMoE-Q3_K_L.gguf) | Q3_K_L | 42.16GB | Lower quality but usable, good for low RAM availability. |
| [bigstral-12b-32k-8xMoE-Q3_K_M.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/blob/main/bigstral-12b-32k-8xMoE-Q3_K_M.gguf) | Q3_K_M | 39.30GB | Even lower quality. |
| [bigstral-12b-32k-8xMoE-Q3_K_S.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/blob/main/bigstral-12b-32k-8xMoE-Q3_K_S.gguf) | Q3_K_S | 35.62GB | Low quality, not recommended. |
| [bigstral-12b-32k-8xMoE-Q2_K.gguf](https://huggingface.co/bartowski/bigstral-12b-32k-8xMoE-GGUF/blob/main/bigstral-12b-32k-8xMoE-Q2_K.gguf) | Q2_K | 30.17GB | Extremely low quality, *not* recommended.

Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski