---
base_model: internlm/internlm2-math-plus-mixtral8x22b
inference: false
language:
- en
- zh
library_name: gguf
license: other
pipeline_tag: text-generation
quantized_by: legraphista
tags:
- math
- quantized
- GGUF
- imatrix
- quantization
- imat
- imatrix
- static
---
# internlm2-math-plus-mixtral8x22b-IMat-GGUF
_Llama.cpp imatrix quantization of internlm/internlm2-math-plus-mixtral8x22b_
Original Model: [internlm/internlm2-math-plus-mixtral8x22b](https://huggingface.co/internlm/internlm2-math-plus-mixtral8x22b)
Original dtype: `BF16` (`bfloat16`)
Quantized by: llama.cpp [b3010](https://github.com/ggerganov/llama.cpp/releases/tag/b3010)
IMatrix dataset: [here](https://gist.githubusercontent.com/legraphista/d6d93f1a254bcfc58e0af3777eaec41e/raw/d380e7002cea4a51c33fffd47db851942754e7cc/imatrix.calibration.medium.raw)
- [internlm2-math-plus-mixtral8x22b-IMat-GGUF](#internlm2-math-plus-mixtral8x22b-imat-gguf)
- [Files](#files)
- [IMatrix](#imatrix)
- [Common Quants](#common-quants)
- [All Quants](#all-quants)
- [Downloading using huggingface-cli](#downloading-using-huggingface-cli)
- [Inference](#inference)
- [Simple chat template](#simple-chat-template)
- [Chat template with system prompt](#chat-template-with-system-prompt)
- [Llama.cpp](#llama-cpp)
- [FAQ](#faq)
- [Why is the IMatrix not applied everywhere?](#why-is-the-imatrix-not-applied-everywhere)
- [How do I merge a split GGUF?](#how-do-i-merge-a-split-gguf)
---
## Files
### IMatrix
Status: ✅ Available
Link: [here](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/blob/main/imatrix.dat)
### Common Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [internlm2-math-plus-mixtral8x22b.Q8_0/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.Q8_0) | Q8_0 | 149.42GB | ✅ Available | ⚪ Static | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.Q6_K/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.Q6_K) | Q6_K | 115.54GB | ✅ Available | ⚪ Static | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.Q4_K/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.Q4_K) | Q4_K | 85.59GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.Q3_K/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.Q3_K) | Q3_K | 67.80GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.Q2_K/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.Q2_K) | Q2_K | 52.11GB | ✅ Available | 🟢 IMatrix | ✂ Yes
### All Quants
| Filename | Quant type | File Size | Status | Uses IMatrix | Is Split |
| -------- | ---------- | --------- | ------ | ------------ | -------- |
| [internlm2-math-plus-mixtral8x22b.BF16/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.BF16) | BF16 | 281.25GB | ✅ Available | ⚪ Static | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.FP16/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.FP16) | F16 | 281.25GB | ✅ Available | ⚪ Static | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.Q5_K/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.Q5_K) | Q5_K | 99.97GB | ✅ Available | ⚪ Static | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.Q5_K_S/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.Q5_K_S) | Q5_K_S | 96.98GB | ✅ Available | ⚪ Static | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.Q4_K_S/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.Q4_K_S) | Q4_K_S | 80.48GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.Q3_K_L/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.Q3_K_L) | Q3_K_L | 72.59GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.Q3_K_S/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.Q3_K_S) | Q3_K_S | 61.50GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.Q2_K_S/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.Q2_K_S) | Q2_K_S | 48.09GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.IQ4_NL/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.IQ4_NL) | IQ4_NL | 79.78GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.IQ4_XS/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.IQ4_XS) | IQ4_XS | 75.48GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.IQ3_M/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.IQ3_M) | IQ3_M | 64.50GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.IQ3_S/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.IQ3_S) | IQ3_S | 61.50GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.IQ3_XS/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.IQ3_XS) | IQ3_XS | 58.23GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.IQ3_XXS/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.IQ3_XXS) | IQ3_XXS | 54.91GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.IQ2_M/*](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/tree/main/internlm2-math-plus-mixtral8x22b.IQ2_M) | IQ2_M | 46.71GB | ✅ Available | 🟢 IMatrix | ✂ Yes
| [internlm2-math-plus-mixtral8x22b.IQ2_S.gguf](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/blob/main/internlm2-math-plus-mixtral8x22b.IQ2_S.gguf) | IQ2_S | 42.60GB | ✅ Available | 🟢 IMatrix | 📦 No
| [internlm2-math-plus-mixtral8x22b.IQ2_XS.gguf](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/blob/main/internlm2-math-plus-mixtral8x22b.IQ2_XS.gguf) | IQ2_XS | 42.00GB | ✅ Available | 🟢 IMatrix | 📦 No
| [internlm2-math-plus-mixtral8x22b.IQ2_XXS.gguf](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/blob/main/internlm2-math-plus-mixtral8x22b.IQ2_XXS.gguf) | IQ2_XXS | 37.89GB | ✅ Available | 🟢 IMatrix | 📦 No
| [internlm2-math-plus-mixtral8x22b.IQ1_M.gguf](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/blob/main/internlm2-math-plus-mixtral8x22b.IQ1_M.gguf) | IQ1_M | 32.74GB | ✅ Available | 🟢 IMatrix | 📦 No
| [internlm2-math-plus-mixtral8x22b.IQ1_S.gguf](https://huggingface.co/legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF/blob/main/internlm2-math-plus-mixtral8x22b.IQ1_S.gguf) | IQ1_S | 29.65GB | ✅ Available | 🟢 IMatrix | 📦 No
## Downloading using huggingface-cli
If you do not have hugginface-cli installed:
```
pip install -U "huggingface_hub[cli]"
```
Download the specific file you want:
```
huggingface-cli download legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF --include "internlm2-math-plus-mixtral8x22b.Q8_0.gguf" --local-dir ./
```
If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:
```
huggingface-cli download legraphista/internlm2-math-plus-mixtral8x22b-IMat-GGUF --include "internlm2-math-plus-mixtral8x22b.Q8_0/*" --local-dir internlm2-math-plus-mixtral8x22b.Q8_0
# see FAQ for merging GGUF's
```
---
## Inference
### Simple chat template
```
[INST] Can you provide ways to eat combinations of bananas and dragonfruits? [/INST] Sure! Here are some ways to eat bananas and dragonfruits together:
1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.
2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey. [INST] What about solving an 2x + 3 = 7 equation? [/INST]
```
### Chat template with system prompt
```
[INST] <>
You are a helpful AI.
<>
Can you provide ways to eat combinations of bananas and dragonfruits? [/INST] Sure! Here are some ways to eat bananas and dragonfruits together:
1. Banana and dragonfruit smoothie: Blend bananas and dragonfruits together with some milk and honey.
2. Banana and dragonfruit salad: Mix sliced bananas and dragonfruits together with some lemon juice and honey. [INST] What about solving an 2x + 3 = 7 equation? [/INST]
```
### Llama.cpp
```
llama.cpp/main -m internlm2-math-plus-mixtral8x22b.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"
```
---
## FAQ
### Why is the IMatrix not applied everywhere?
According to [this investigation](https://www.reddit.com/r/LocalLLaMA/comments/1993iro/ggufs_quants_can_punch_above_their_weights_now/), it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).
### How do I merge a split GGUF?
1. Make sure you have `gguf-split` available
- To get hold of `gguf-split`, navigate to https://github.com/ggerganov/llama.cpp/releases
- Download the appropriate zip for your system from the latest release
- Unzip the archive and you should be able to find `gguf-split`
2. Locate your GGUF chunks folder (ex: `internlm2-math-plus-mixtral8x22b.Q8_0`)
3. Run `gguf-split --merge internlm2-math-plus-mixtral8x22b.Q8_0/internlm2-math-plus-mixtral8x22b.Q8_0-00001-of-XXXXX.gguf internlm2-math-plus-mixtral8x22b.Q8_0.gguf`
- Make sure to point `gguf-split` to the first chunk of the split.
---
Got a suggestion? Ping me [@legraphista](https://x.com/legraphista)!