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+Sentdex-WSB-GPT-13B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
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README.md

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+
+---
+license: openrail
+pipeline_tag: text-generation
+library_name: transformers
+language:
+- zh
+- en
+---
+
+
+## Original model card 
+
+Buy me a coffee if you like this project ;)
+<a href="https://www.buymeacoffee.com/s3nh"><img src="https://www.buymeacoffee.com/assets/img/guidelines/download-assets-sm-1.svg" alt=""></a>
+
+#### Description 
+
+GGUF Format model files for [This project](https://huggingface.co/Sentdex/WSB-GPT-13B).
+
+### GGUF Specs 
+
+GGUF is a format based on the existing GGJT, but makes a few changes to the format to make it more extensible and easier to use. The following features are desired:
+
+Single-file deployment: they can be easily distributed and loaded, and do not require any external files for additional information.
+Extensible: new features can be added to GGML-based executors/new information can be added to GGUF models without breaking compatibility with existing models.
+mmap compatibility: models can be loaded using mmap for fast loading and saving.
+Easy to use: models can be easily loaded and saved using a small amount of code, with no need for external libraries, regardless of the language used.
+Full information: all information needed to load a model is contained in the model file, and no additional information needs to be provided by the user.
+The key difference between GGJT and GGUF is the use of a key-value structure for the hyperparameters (now referred to as metadata), rather than a list of untyped values. 
+This allows for new metadata to be added without breaking compatibility with existing models, and to annotate the model with additional information that may be useful for
+inference or for identifying the model.
+
+### Perplexity params
+
+Model	Measure	Q2_K	Q3_K_S	Q3_K_M	Q3_K_L	Q4_0	Q4_1	Q4_K_S	Q4_K_M	Q5_0	Q5_1	Q5_K_S	Q5_K_M	Q6_K	Q8_0	F16
+7B	perplexity	6.7764	6.4571	6.1503	6.0869	6.1565	6.0912	6.0215	5.9601	5.9862	5.9481	5.9419	5.9208	5.9110	5.9070	5.9066
+13B	perplexity	5.8545	5.6033	5.4498	5.4063	5.3860	5.3608	5.3404	5.3002	5.2856	5.2706	5.2785	5.2638	5.2568	5.2548	5.2543
+
+
+
+### inference 
+
+
+```python
+
+import ctransformers
+
+from ctransformers import AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained(output_dir, gguf_file,
+gpu_layers=32, model_type="llama")
+
+manual_input: str = "Tell me about your last dream, please."
+
+llm(manual_input, 
+      max_new_tokens=256, 
+      temperature=0.9, 
+      top_p= 0.7)
+
+```
+
+# Original model card

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