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
In 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|>
<|im_start|>assistant
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.
To solve for the motion of the ball, we can use the equation for
vertical motion with acceleration due to gravity:
h(t) = v0 * t + (1/2) * g * t^2 + y0
Substituting the values given in the problem, we get:
y(t) = (30)(t) + (1/2)(-32)(t)^2 + 3
Now, let's simplify the equation:
y(t) = 30t - 16t^2 + 3
This 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 turboderp's ExLlamaV2 v0.0.13 for quantization.
The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
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 | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
| 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 | 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 | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
| 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:
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):
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:
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:
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?):
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