225 lines
16 KiB
Markdown
225 lines
16 KiB
Markdown
---
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base_model: lightgpt/LightGPT-7B-Llama2
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extra_gated_button_content: Submit
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geo: ip_location
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extra_gated_heading: Access LLMLight-LightGPT on Hugging Face
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extra_gated_prompt: "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means
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the terms and conditions for use, reproduction, distribution and modification of
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dispute arising out of this Agreement. \n### Llama 2 Acceptable Use Policy\nMeta
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is committed to promoting safe and fair use of its tools and features, including
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Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy (“Policy”).
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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####
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Prohibited Uses\nWe want everyone to use Llama 2 safely and responsibly. You agree
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you will not use, or allow others to use, Llama 2 to:\n1. Violate the law or others’
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Sexual solicitation\n 6. Any other criminal activity\n 2. Engage in,
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Engage in or facilitate any action or generate any content that infringes, misappropriates,
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or facilitate the creation of malicious code, malware, computer viruses or do anything
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\ 2. Guns and illegal weapons (including weapon development)\n 3. Illegal drugs
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and regulated/controlled substances\n 4. Operation of critical infrastructure,
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transportation technologies, or heavy machinery\n 5. Self-harm or harm to others,
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including suicide, cutting, and eating disorders\n 6. Any content intended to
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incite or promote violence, abuse, or any infliction of bodily harm to an individual\n3.
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Intentionally deceive or mislead others, including use of Llama 2 related to the
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following:\n 1. Generating, promoting, or furthering fraud or the creation or
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promotion of disinformation\n 2. Generating, promoting, or furthering defamatory
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content, including the creation of defamatory statements, images, or other content\n
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\ 3. Generating, promoting, or further distributing spam\n 4. Impersonating
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another individual without consent, authorization, or legal right\n 5. Representing
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that the use of Llama 2 or outputs are human-generated\n 6. Generating or facilitating
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false online engagement, including fake reviews and other means of fake online engagement
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\n 4. Fail to appropriately disclose to end users any known dangers of your AI
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system \nPlease report any violation of this Policy, software “bug,” or other problems
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that could lead to a violation of this Policy through one of the following means:
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\n * Reporting issues with the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n
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\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n
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\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)
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\n * Reporting violations of the Acceptable Use Policy or unlicensed uses of
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Llama: [LlamaUseReport@meta.com](mailto:LlamaUseReport@meta.com)"
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language:
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- en
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library_name: transformers
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license: mit
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quantized_by: mradermacher
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tags:
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- pytorch
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- llama-2
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- traffic signal control
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- lightgpt
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- llmlight
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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: -->
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static quants of https://huggingface.co/lightgpt/LightGPT-7B-Llama2
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-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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## 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/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q2_K.gguf) | Q2_K | 2.6 | |
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| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ3_XS.gguf) | IQ3_XS | 2.9 | |
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| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ3_S.gguf) | IQ3_S | 3.0 | beats Q3_K* |
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| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q3_K_S.gguf) | Q3_K_S | 3.0 | |
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| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ3_M.gguf) | IQ3_M | 3.2 | |
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| [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 |
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| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q3_K_L.gguf) | Q3_K_L | 3.7 | |
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| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.IQ4_XS.gguf) | IQ4_XS | 3.7 | |
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| [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 |
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| [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 |
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| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q5_K_S.gguf) | Q5_K_S | 4.8 | |
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| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q5_K_M.gguf) | Q5_K_M | 4.9 | |
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| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q6_K.gguf) | Q6_K | 5.6 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.Q8_0.gguf) | Q8_0 | 7.3 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-GGUF/resolve/main/LightGPT-7B-Llama2.f16.gguf) | f16 | 13.6 | 16 bpw, overkill |
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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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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.
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<!-- end -->
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