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--- |
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base_model: Weyaxi/Einstein-v4-Qwen-1.5-32B |
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datasets: |
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- allenai/ai2_arc |
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- camel-ai/physics |
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- camel-ai/chemistry |
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- camel-ai/biology |
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- camel-ai/math |
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- metaeval/reclor |
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- openbookqa |
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- mandyyyyii/scibench |
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- derek-thomas/ScienceQA |
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- TIGER-Lab/ScienceEval |
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- jondurbin/airoboros-3.2 |
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- LDJnr/Capybara |
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- Cot-Alpaca-GPT4-From-OpenHermes-2.5 |
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- STEM-AI-mtl/Electrical-engineering |
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- knowrohit07/saraswati-stem |
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- sablo/oasst2_curated |
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- glaiveai/glaive-code-assistant |
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- lmsys/lmsys-chat-1m |
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- TIGER-Lab/MathInstruct |
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- bigbio/med_qa |
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- meta-math/MetaMathQA-40K |
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- openbookqa |
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- piqa |
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- metaeval/reclor |
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- derek-thomas/ScienceQA |
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- scibench |
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- sciq |
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- Open-Orca/SlimOrca |
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- migtissera/Synthia-v1.3 |
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- TIGER-Lab/ScienceEval |
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language: |
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- en |
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library_name: transformers |
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license: other |
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quantized_by: mradermacher |
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tags: |
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- axolotl |
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- generated_from_trainer |
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- phi |
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- phi2 |
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- einstein |
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- instruct |
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- finetune |
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- chatml |
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- gpt4 |
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- synthetic data |
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- science |
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- physics |
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- chemistry |
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- biology |
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- math |
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--- |
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## About |
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<!-- ### quantize_version: 2 --> |
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<!-- ### output_tensor_quantised: 1 --> |
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<!-- ### convert_type: hf --> |
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<!-- ### vocab_type: --> |
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<!-- ### tags: nicoboss --> |
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weighted/imatrix quants of https://huggingface.co/Weyaxi/Einstein-v4-Qwen-1.5-32B |
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<!-- provided-files --> |
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static quants are available at https://huggingface.co/mradermacher/Einstein-v4-Qwen-1.5-32B-GGUF |
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## Usage |
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If you are unsure how to use GGUF files, refer to one of [TheBloke's |
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READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for |
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more details, including on how to concatenate multi-part files. |
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|
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## Provided Quants |
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(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants) |
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| Link | Type | Size/GB | Notes | |
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|:-----|:-----|--------:|:------| |
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| [GGUF](https://huggingface.co/mradermacher/Einstein-v4-Qwen-1.5-32B-i1-GGUF/resolve/main/Einstein-v4-Qwen-1.5-32B.i1-Q2_K.gguf) | i1-Q2_K | 12.3 | IQ3_XXS probably better | |
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Here is a handy graph by ikawrakow comparing some lower-quality quant |
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types (lower is better): |
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 |
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And here are Artefact2's thoughts on the matter: |
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https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9 |
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## FAQ / Model Request |
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See https://huggingface.co/mradermacher/model_requests for some answers to |
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questions you might have and/or if you want some other model quantized. |
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## Thanks |
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I thank my company, [nethype GmbH](https://www.nethype.de/), for letting |
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me use its servers and providing upgrades to my workstation to enable |
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this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his hardware for calculating the imatrix for these quants. |
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<!-- end --> |
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