|
--- |
|
license: other |
|
tags: |
|
- axolotl |
|
- generated_from_trainer |
|
- Mistral |
|
- instruct |
|
- finetune |
|
- chatml |
|
- gpt4 |
|
- synthetic data |
|
- science |
|
- physics |
|
- chemistry |
|
- biology |
|
- math |
|
base_model: alpindale/Mistral-7B-v0.2-hf |
|
datasets: |
|
- allenai/ai2_arc |
|
- camel-ai/physics |
|
- camel-ai/chemistry |
|
- camel-ai/biology |
|
- camel-ai/math |
|
- metaeval/reclor |
|
- openbookqa |
|
- mandyyyyii/scibench |
|
- derek-thomas/ScienceQA |
|
- TIGER-Lab/ScienceEval |
|
- jondurbin/airoboros-3.2 |
|
- LDJnr/Capybara |
|
- Cot-Alpaca-GPT4-From-OpenHermes-2.5 |
|
- STEM-AI-mtl/Electrical-engineering |
|
- knowrohit07/saraswati-stem |
|
- sablo/oasst2_curated |
|
- lmsys/lmsys-chat-1m |
|
- TIGER-Lab/MathInstruct |
|
- bigbio/med_qa |
|
- meta-math/MetaMathQA-40K |
|
- openbookqa |
|
- piqa |
|
- metaeval/reclor |
|
- derek-thomas/ScienceQA |
|
- scibench |
|
- sciq |
|
- Open-Orca/SlimOrca |
|
- migtissera/Synthia-v1.3 |
|
- TIGER-Lab/ScienceEval |
|
- allenai/WildChat |
|
- microsoft/orca-math-word-problems-200k |
|
- openchat/openchat_sharegpt4_dataset |
|
- teknium/GPTeacher-General-Instruct |
|
- m-a-p/CodeFeedback-Filtered-Instruction |
|
quantized_by: suparious |
|
pipeline_tag: text-generation |
|
--- |
|
## Exllama v2 Quantizations of Einstein-v5-v0.2-7B |
|
|
|
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.16">turboderp's ExLlamaV2 v0.0.16</a> for quantization. |
|
|
|
Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions. |
|
|
|
Original model: l3utterfly/Einstein-v5-v0.2-7B |
|
|
|
Model Size: 7b |
|
|
|
| Branch | Bits | lm_head bits | Dataset | Size | Description | |
|
| ----- | ---- | ------- | ------- | ------- | ------------ | |
|
| [8_0](https://huggingface.co/suparious/Einstein-v5-v0.2-7B-exl2/tree/8_0) | 8.0 | 8.0 | Default | 9.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. | |
|
| [6_5](https://huggingface.co/suparious/Einstein-v5-v0.2-7B-exl2/tree/6_5) | 6.5 | 8.0 | Default | 8.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. | |
|
| [5_0](https://huggingface.co/suparious/Einstein-v5-v0.2-7B-exl2/tree/5_0) | 5.0 | 6.0 | Default | 7.4 GB | Slightly lower perplexity vs 6.5. | |
|
| [4_0](https://huggingface.co/suparious/Einstein-v5-v0.2-7B-exl2/tree/4_0) | 4.0 | 6.0 | Default | 6.5 GB | Just under GPTQ equivalent bits per weight. | |
|
|
|
All VRAM requirements estimated from 16k context. For 32k context add ~2 GB. |
|
|
|
<a href="https://huggingface.co/suparious/Einstein-v5-v0.2-7B-exl2/tree/4_0">4.0 bits per weight</a> |
|
|
|
<a href="https://huggingface.co/suparious/Einstein-v5-v0.2-7B-exl2/tree/5_0">5.0 bits per weight</a> |
|
|
|
<a href="https://huggingface.co/suparious/Einstein-v5-v0.2-7B-exl2/tree/6_5">6.5 bits per weight</a> |
|
|
|
<a href="https://huggingface.co/suparious/Einstein-v5-v0.2-7B-exl2/tree/8_0">8.0 bits per weight</a> |
|
|
|
## Download instructions |
|
|
|
With git: |
|
|
|
```shell |
|
git clone --single-branch --branch 4_0 https://huggingface.co/suparious/Einstein-v5-v0.2-7B-exl2 |
|
``` |
|
|
|
With huggingface hub (credit to TheBloke and bartowski 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 `Einstein-v5-v0.2-7B-exl2`: |
|
|
|
```shell |
|
mkdir Einstein-v5-v0.2-7B-exl2 |
|
huggingface-cli download suparious/Einstein-v5-v0.2-7B-exl2 --local-dir Einstein-v5-v0.2-7B-exl2 --local-dir-use-symlinks False |
|
``` |
|
|
|
To download from a different branch, add the `--revision` parameter: |
|
|
|
```shell |
|
mkdir Einstein-v5-v0.2-7B-exl2-6_5 |
|
huggingface-cli download suparious/Einstein-v5-v0.2-7B-exl2 --revision 6_5 --local-dir Einstein-v5-v0.2-7B-exl2-6_5 --local-dir-use-symlinks False |
|
``` |
