OpenThinker-7B-exl2 / README.md
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---
library_name: transformers
license: apache-2.0
base_model: open-thoughts/OpenThinker-7B
base_model_relation: quantized
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: DCFT-Stratos-Verified-114k-7B-4gpus
results: []
datasets:
- open-thoughts/open-thoughts-114k
quantized_by: bartowski
pipeline_tag: text-generation
---
## Exllama v2 Quantizations of OpenThinker-7B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.2.7">turboderp's ExLlamaV2 v0.2.7</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/open-thoughts/OpenThinker-7B
## Prompt format
```
<|im_start|>system
{system_prompt}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
```
## Available sizes
| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
| [8_0](https://huggingface.co/bartowski/OpenThinker-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/OpenThinker-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/OpenThinker-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/OpenThinker-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/OpenThinker-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/OpenThinker-7B-exl2 OpenThinker-7B-exl2-6_5
```
With huggingface hub (credit to TheBloke for instructions):
```shell
pip3 install huggingface-hub
```
To download a specific branch, use the `--revision` parameter. For example, to download the 6.5 bpw branch:
Linux:
```shell
huggingface-cli download bartowski/OpenThinker-7B-exl2 --revision 6_5 --local-dir OpenThinker-7B-exl2-6_5
```
Windows (which apparently doesn't like _ in folders sometimes?):
```shell
huggingface-cli download bartowski/OpenThinker-7B-exl2 --revision 6_5 --local-dir OpenThinker-7B-exl2-6.5
```
Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski