Upload folder using huggingface_hub

README.md

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+# Pytorch to Safetensor Converter
+
 ---
-license: other
-license_name: yi-license
-license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
-base_model: jondurbin/bagel-34b-v0.2
----
 
-![image/png](https://i.ibb.co/9VB5SHL/OIG1-3.jpg)
 
-# ConvexAI/Luminex-34B-v0.1
-This model is [Smaug-34b](https://huggingface.co/abacusai/Smaug-34B-v0.1) with LaserRMT applied.
 
+A simple converter which converts pytorch .bin tensor files (Usually listed as "pytorch_model.bin" or "pytorch_model-xxxx-of-xxxx.bin") to safetensor files. Reason? 
+
+~~because it's cool!~~
+
+Because the safetensor format decreases the loading time of large LLM models, currently supported in [oobabooga's text-generation-webui](https://github.com/oobabooga/text-generation-webui). It also supports in-place loading, which effectively decreased the required memory to load a LLM.
+
+Note: Most of the code originated from [Convert to Safetensors - a Hugging Face Space by safetensors](https://huggingface.co/spaces/safetensors/convert), and this code cannot deal with files that are not named as "pytorch_model.bin" or "pytorch_model-xxxx-of-xxxx.bin".
+
+### Limitations:
+
+The program requires **A lot** of memory. To be specific, your idle memory should be **at least** twice the size of your largest ".bin" file. Or else, the program will run out of memory and use your swap... that would be **slow!**
+
+This program **will not** re-shard (aka break down) the model, you'll need to do it yourself using some other tools.
+
+### Usage:
 
-### Evaluation Results
+After installing python (Python 3.10.x is suggested), ``cd`` into the repository and install dependencies first:
 
-Coming Soon
+```
+git clone https://github.com/Silver267/pytorch-to-safetensor-converter.git
+cd pytorch-to-safetensor-converter
+pip install -r requirements.txt
+```
 
-### Contamination Results
+Copy **all content** of your model's folder into this repository, then run:
 
+```
+python convert_to_safetensor.py
+```
+Follow the instruction in the program. Remember to use the **full path** for the model directory (Something like ``E:\models\xxx-fp16`` that contains all the model files). Wait for a while, and you're good to go. The program will automatically copy all other files to your destination folder, enjoy!
 
-Coming Soon
+### Precision stuff
+if your original model is fp32 then don't forget to edit ``"torch_dtype": "float32",`` to ``"torch_dtype": "float16",`` in ``config.json``
+#### Note that this operation might (in rare occasions) cause the LLM to output NaN while performing operations since it decreases the precision to fp16.
+If you're worried about that, simply edit the line ``loaded = {k: v.contiguous().half() for k, v in loaded.items()}`` in ``convert_to_safetensor.py`` into ``loaded = {k: v.contiguous() for k, v in loaded.items()}`` and you'll have a full precision model.

huggingface-metadata.txt

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+url: https://huggingface.co/ConvexAI/Luminex-34B-v0.1
+branch: main
+download date: 2024-02-16 22:23:47
+sha256sum:
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+    386c49cf943d71aa110361135338c50e38beeff0a66593480421f37b319e1a39 tokenizer.model

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requirements.txt

@@ -0,0 +1,4 @@
+safetensors
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