--- base_model: lightgpt/LightGPT-7B-Llama2 extra_gated_button_content: Submit extra_gated_fields: Affiliation: text ? 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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 static quants of https://huggingface.co/lightgpt/LightGPT-7B-Llama2 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.