commit 35549979ace9e9a7656b2bf0bae69fa004c52fc4 Author: ModelHub XC Date: Thu May 14 01:00:35 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: mradermacher/LightGPT-7B-Llama2-i1-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..6929314 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,57 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs 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Military, warfare, nuclear industries or applications, + espionage, use for materials or activities that are subject to the International + Traffic Arms Regulations (ITAR) maintained by the United States Department of State\n + \ 2. Guns and illegal weapons (including weapon development)\n 3. Illegal drugs + and regulated/controlled substances\n 4. Operation of critical infrastructure, + transportation technologies, or heavy machinery\n 5. Self-harm or harm to others, + 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: mit +quantized_by: mradermacher +tags: +- pytorch +- llama-2 +- traffic signal control +- lightgpt +- llmlight +--- +## About + + + + + + +weighted/imatrix quants of https://huggingface.co/lightgpt/LightGPT-7B-Llama2 + + +static quants are available at https://huggingface.co/mradermacher/LightGPT-7B-Llama2-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-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-IQ1_S.gguf) | i1-IQ1_S | 1.6 | for the desperate | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-IQ1_M.gguf) | i1-IQ1_M | 1.8 | mostly desperate | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.0 | | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.1 | | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-IQ2_S.gguf) | i1-IQ2_S | 2.3 | | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-IQ2_M.gguf) | i1-IQ2_M | 2.5 | | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-Q2_K.gguf) | i1-Q2_K | 2.6 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.7 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-IQ3_XS.gguf) | i1-IQ3_XS | 2.9 | | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-IQ3_S.gguf) | i1-IQ3_S | 3.0 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.0 | IQ3_XS probably better | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-IQ3_M.gguf) | i1-IQ3_M | 3.2 | | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.4 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.7 | IQ3_M probably better | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-IQ4_XS.gguf) | i1-IQ4_XS | 3.7 | | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-Q4_0.gguf) | i1-Q4_0 | 3.9 | fast, low quality | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.0 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.2 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-Q5_K_S.gguf) | i1-Q5_K_S | 4.8 | | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-Q5_K_M.gguf) | i1-Q5_K_M | 4.9 | | +| [GGUF](https://huggingface.co/mradermacher/LightGPT-7B-Llama2-i1-GGUF/resolve/main/LightGPT-7B-Llama2.i1-Q6_K.gguf) | i1-Q6_K | 5.6 | practically like static Q6_K | + +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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to. + + diff --git a/imatrix.dat b/imatrix.dat new file mode 100644 index 0000000..f67ebd9 --- /dev/null +++ b/imatrix.dat @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d581b21bdb798f6dd7584c5b2f000c3fc2ee96f05eb1ff3f6864f2ad1f7b8428 +size 4562173