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NeuralMathChat-7B-V0.2-GGUF

GGUF
Merge
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lazymergekit
Q-bert/MetaMath-Cybertron-Starling
Intel/neural-chat-7b-v3-3
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NeuralMathChat-7B-V0.2-GGUF
File size: 6,057 Bytes
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---
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- Q-bert/MetaMath-Cybertron-Starling
- Intel/neural-chat-7b-v3-3
- TensorBlock
- GGUF
base_model: RatanRohith/NeuralMathChat-7B-V0.2
---

<div style="width: auto; margin-left: auto; margin-right: auto">
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## RatanRohith/NeuralMathChat-7B-V0.2 - GGUF

This repo contains GGUF format model files for [RatanRohith/NeuralMathChat-7B-V0.2](https://huggingface.co/RatanRohith/NeuralMathChat-7B-V0.2).

The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).

## Our projects
<table border="1" cellspacing="0" cellpadding="10">
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  <th style="font-size: 25px;">Awesome MCP Servers</th>
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    <th>A comprehensive collection of Model Context Protocol (MCP) servers.</th>
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    ">👀 See what we built 👀</a>
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</table>
## Prompt template

```

```

## Model file specification

| Filename | Quant type | File Size | Description |
| -------- | ---------- | --------- | ----------- |
| [NeuralMathChat-7B-V0.2-Q2_K.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q2_K.gguf) | Q2_K | 2.719 GB | smallest, significant quality loss - not recommended for most purposes |
| [NeuralMathChat-7B-V0.2-Q3_K_S.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q3_K_S.gguf) | Q3_K_S | 3.165 GB | very small, high quality loss |
| [NeuralMathChat-7B-V0.2-Q3_K_M.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q3_K_M.gguf) | Q3_K_M | 3.519 GB | very small, high quality loss |
| [NeuralMathChat-7B-V0.2-Q3_K_L.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q3_K_L.gguf) | Q3_K_L | 3.822 GB | small, substantial quality loss |
| [NeuralMathChat-7B-V0.2-Q4_0.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q4_0.gguf) | Q4_0 | 4.109 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| [NeuralMathChat-7B-V0.2-Q4_K_S.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q4_K_S.gguf) | Q4_K_S | 4.140 GB | small, greater quality loss |
| [NeuralMathChat-7B-V0.2-Q4_K_M.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q4_K_M.gguf) | Q4_K_M | 4.368 GB | medium, balanced quality - recommended |
| [NeuralMathChat-7B-V0.2-Q5_0.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q5_0.gguf) | Q5_0 | 4.998 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| [NeuralMathChat-7B-V0.2-Q5_K_S.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q5_K_S.gguf) | Q5_K_S | 4.998 GB | large, low quality loss - recommended |
| [NeuralMathChat-7B-V0.2-Q5_K_M.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q5_K_M.gguf) | Q5_K_M | 5.131 GB | large, very low quality loss - recommended |
| [NeuralMathChat-7B-V0.2-Q6_K.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q6_K.gguf) | Q6_K | 5.942 GB | very large, extremely low quality loss |
| [NeuralMathChat-7B-V0.2-Q8_0.gguf](https://huggingface.co/tensorblock/NeuralMathChat-7B-V0.2-GGUF/blob/main/NeuralMathChat-7B-V0.2-Q8_0.gguf) | Q8_0 | 7.696 GB | very large, extremely low quality loss - not recommended |


## Downloading instruction

### Command line

Firstly, install Huggingface Client

```shell
pip install -U "huggingface_hub[cli]"
```

Then, downoad the individual model file the a local directory

```shell
huggingface-cli download tensorblock/NeuralMathChat-7B-V0.2-GGUF --include "NeuralMathChat-7B-V0.2-Q2_K.gguf" --local-dir MY_LOCAL_DIR
```

If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try:

```shell
huggingface-cli download tensorblock/NeuralMathChat-7B-V0.2-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'
```