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measurement.json
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---
license: apache-2.0
library_name: transformers
tags:
- not-for-all-audiences
- chemistry
- math
- code
- physics
datasets:
- Locutusque/hercules-v2.0
widget:
- example_title: "Derivative"
text: "<|im_start|>user\nIn this task, you are given a description of an object and its surroundings. Your task is to describe the motion of the object mentioned in the description using differential equations. The answer should be a mathematical expression in t. Description: A ball is thrown up at 30 ft/sec from 3 feet off the ground. Solve this step-by-step, explaining each step in detail.<|im_end|>\n<|im_start|>assistant\n"
output:
text: "Let h(t) be the height of the ball at time t after it was thrown. We know that when the ball is thrown, it has an initial velocity v0 = 30 ft/sec and initial height y0 = 3 ft. We also know that the acceleration due to gravity g = -32 ft/sec^2.\n\nTo solve for the motion of the ball, we can use the equation for vertical motion with acceleration due to gravity:\n\nh(t) = v0 * t + (1/2) * g * t^2 + y0\n\nSubstituting the values given in the problem, we get:\n\ny(t) = (30)(t) + (1/2)(-32)(t)^2 + 3\n\nNow, let's simplify the equation:\n\ny(t) = 30t - 16t^2 + 3\n\nThis is the final solution for the height of the ball as a function of time."
quantized_by: bartowski
pipeline_tag: text-generation
---
## Exllama v2 Quantizations of Hercules-2.0-Mistral-7B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.13">turboderp's ExLlamaV2 v0.0.13</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
Original model: https://huggingface.co/Locutusque/Hercules-2.0-Mistral-7B
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
| [8_0](https://huggingface.co/bartowski/Hercules-2.0-Mistral-7B-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| [6_5](https://huggingface.co/bartowski/Hercules-2.0-Mistral-7B-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
| [5_0](https://huggingface.co/bartowski/Hercules-2.0-Mistral-7B-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB | 9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
| [4_25](https://huggingface.co/bartowski/Hercules-2.0-Mistral-7B-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| [3_5](https://huggingface.co/bartowski/Hercules-2.0-Mistral-7B-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
## Download instructions
With git:
```shell
git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/Hercules-2.0-Mistral-7B-exl2 Hercules-2.0-Mistral-7B-exl2-6_5
```
With huggingface hub (credit to TheBloke for instructions):
```shell
pip3 install huggingface-hub
```
To download the `main` (only useful if you only care about measurement.json) branch to a folder called `Hercules-2.0-Mistral-7B-exl2`:
```shell
mkdir Hercules-2.0-Mistral-7B-exl2
huggingface-cli download bartowski/Hercules-2.0-Mistral-7B-exl2 --local-dir Hercules-2.0-Mistral-7B-exl2 --local-dir-use-symlinks False
```
To download from a different branch, add the `--revision` parameter:
Linux:
```shell
mkdir Hercules-2.0-Mistral-7B-exl2-6_5
huggingface-cli download bartowski/Hercules-2.0-Mistral-7B-exl2 --revision 6_5 --local-dir Hercules-2.0-Mistral-7B-exl2-6_5 --local-dir-use-symlinks False
```
Windows (which apparently doesn't like _ in folders sometimes?):
```shell
mkdir Hercules-2.0-Mistral-7B-exl2-6.5
huggingface-cli download bartowski/Hercules-2.0-Mistral-7B-exl2 --revision 6_5 --local-dir Hercules-2.0-Mistral-7B-exl2-6.5 --local-dir-use-symlinks False
```
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski