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README.md

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+---
+base_model: lightgpt/LightGPT-7B-Llama2
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+  dispute arising out of this Agreement. \n### Llama 2 Acceptable Use Policy\nMeta
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+  The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).\n####
+  Prohibited Uses\nWe want everyone to use Llama 2 safely and responsibly. You agree
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+  2 related to the following:\n    1. Military, warfare, nuclear industries or applications,
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+  including suicide, cutting, and eating disorders\n    6. Any content intended to
+  incite or promote violence, abuse, or any infliction of bodily harm to an individual\n3.
+  Intentionally deceive or mislead others, including use of Llama 2 related to the
+  following:\n    1. Generating, promoting, or furthering fraud or the creation or
+  promotion of disinformation\n    2. Generating, promoting, or furthering defamatory
+  content, including the creation of defamatory statements, images, or other content\n
+  \   3. Generating, promoting, or further distributing spam\n    4. Impersonating
+  another individual without consent, authorization, or legal right\n    5. Representing
+  that the use of Llama 2 or outputs are human-generated\n    6. Generating or facilitating
+  false online engagement, including fake reviews and other means of fake online engagement
+  \n    4. Fail to appropriately disclose to end users any known dangers of your AI
+  system \nPlease report any violation of this Policy, software “bug,” or other problems
+  that could lead to a violation of this Policy through one of the following means:
+  \n    * Reporting issues with the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n
+  \   * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n
+  \   * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)
+  \n    * Reporting violations of the Acceptable Use Policy or unlicensed uses of
+  Llama: [LlamaUseReport@meta.com](mailto:LlamaUseReport@meta.com)"
+language:
+- en
+library_name: transformers
+license: llama2
+quantized_by: mradermacher
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-2
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags:  -->
 static quants of https://huggingface.co/lightgpt/LightGPT-7B-Llama2
+
+<!-- provided-files -->
+weighted/imatrix quants are available at https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF
+## Usage
+
+If you are unsure how to use GGUF files, refer to one of [TheBloke's
+READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
+more details, including on how to concatenate multi-part files.
+
+## Provided Quants
+
+(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
+
+| Link | Type | Size/GB | Notes |
+|:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q2_K.gguf) | Q2_K | 2.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ3_XS.gguf) | IQ3_XS | 2.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ3_S.gguf) | IQ3_S | 3.0 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q3_K_S.gguf) | Q3_K_S | 3.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ3_M.gguf) | IQ3_M | 3.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q3_K_M.gguf) | Q3_K_M | 3.4 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q3_K_L.gguf) | Q3_K_L | 3.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ4_XS.gguf) | IQ4_XS | 3.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q4_K_S.gguf) | Q4_K_S | 4.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q4_K_M.gguf) | Q4_K_M | 4.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q5_K_S.gguf) | Q5_K_S | 4.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q5_K_M.gguf) | Q5_K_M | 4.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q6_K.gguf) | Q6_K | 5.6 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.f16.gguf) | f16 | 13.6 | 16 bpw, overkill |
+
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
+
+And here are Artefact2's thoughts on the matter:
+https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
+
+## FAQ / Model Request
+
+See https://huggingface.co/mradermacher/model_requests for some answers to
+questions you might have and/or if you want some other model quantized.
+
+## Thanks
+
+I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
+me use its servers and providing upgrades to my workstation to enable
+this work in my free time.
+
+<!-- end -->