commit 341309141eaf6c72d060d610984839a79f315f8c Author: ModelHub XC Date: Wed May 20 18:52:15 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a78854a --- /dev/null +++ b/.gitattributes @@ -0,0 +1,58 @@ +*.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 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USE POLICY ### Llama 2 Acceptable Use Policy Meta is committed + to promoting safe and fair use of its tools and features, including Llama 2. If + you access or use Llama 2, you agree to this Acceptable Use Policy (“Policy”). The + most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy). + #### Prohibited Uses We want everyone to use Llama 2 safely and responsibly. You + agree you will not use, or allow others to use, Llama 2 to: 1. Violate the law + or others’ rights, including to:\n 1. Engage in, promote, generate, contribute + to, encourage, plan, incite, or further illegal or unlawful activity or content, + such as: \n 1. Violence or terrorism \n 2. Exploitation or harm to children, + including the solicitation, creation, acquisition, or dissemination of child exploitative + content or failure to report Child Sexual Abuse Material\n 3. Human trafficking, + exploitation, and sexual violence\n 4. The illegal distribution of information + or materials to minors, including obscene materials, or failure to employ legally + required age-gating in connection with such information or materials.\n 5. Sexual + solicitation\n 6. Any other criminal activity\n 2. Engage in, promote, incite, + or facilitate the harassment, abuse, threatening, or bullying of individuals or + groups of individuals\n 3. Engage in, promote, incite, or facilitate discrimination + or other unlawful or harmful conduct in the provision of employment, employment + benefits, credit, housing, other economic benefits, or other essential goods and + services\n 4. Engage in the unauthorized or unlicensed practice of any profession + including, but not limited to, financial, legal, medical/health, or related professional + practices \n 5. Collect, process, disclose, generate, or infer health, demographic, + or other sensitive personal or private information about individuals without rights + and consents required by applicable laws\n 6. Engage in or facilitate any action + or generate any content that infringes, misappropriates, or otherwise violates any + third-party rights, including the outputs or results of any products or services + using the Llama 2 Materials\n 7. Create, generate, or facilitate the creation of + malicious code, malware, computer viruses or do anything else that could disable, + overburden, interfere with or impair the proper working, integrity, operation or + appearance of a website or computer system \n2. Engage in, promote, incite, facilitate, + or assist in the planning or development of activities that present a risk of death + or bodily harm to individuals, including use of Llama 2 related to the following:\n + \ 1. 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: * Reporting issues with the model: + [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama) * + Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback) + * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info) + * Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama: + [LlamaUseReport@meta.com](mailto:LlamaUseReport@meta.com)" +language: +- code +library_name: transformers +license: llama2 +quantized_by: mradermacher +tags: +- facebook +- meta +- pytorch +- llama +- llama-2 +- abliterated +- uncensored +--- +## About + + + + + + +weighted/imatrix quants of https://huggingface.co/huihui-ai/CodeLlama-13b-Instruct-hf-abliterated + + +static quants are available at https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-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/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-IQ1_S.gguf) | i1-IQ1_S | 3.0 | for the desperate | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-IQ1_M.gguf) | i1-IQ1_M | 3.2 | mostly desperate | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 3.6 | | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-IQ2_XS.gguf) | i1-IQ2_XS | 4.0 | | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-IQ2_S.gguf) | i1-IQ2_S | 4.3 | | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-Q2_K_S.gguf) | i1-Q2_K_S | 4.5 | very low quality | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-IQ2_M.gguf) | i1-IQ2_M | 4.6 | | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-Q2_K.gguf) | i1-Q2_K | 5.0 | IQ3_XXS probably better | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 5.1 | lower quality | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-IQ3_XS.gguf) | i1-IQ3_XS | 5.5 | | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-IQ3_S.gguf) | i1-IQ3_S | 5.8 | beats Q3_K* | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-Q3_K_S.gguf) | i1-Q3_K_S | 5.8 | IQ3_XS probably better | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-IQ3_M.gguf) | i1-IQ3_M | 6.1 | | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-Q3_K_M.gguf) | i1-Q3_K_M | 6.4 | IQ3_S probably better | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-Q3_K_L.gguf) | i1-Q3_K_L | 7.0 | IQ3_M probably better | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-IQ4_XS.gguf) | i1-IQ4_XS | 7.1 | | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-Q4_0.gguf) | i1-Q4_0 | 7.5 | fast, low quality | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-Q4_K_S.gguf) | i1-Q4_K_S | 7.5 | optimal size/speed/quality | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-Q4_K_M.gguf) | i1-Q4_K_M | 8.0 | fast, recommended | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-Q5_K_S.gguf) | i1-Q5_K_S | 9.1 | | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-Q5_K_M.gguf) | i1-Q5_K_M | 9.3 | | +| [GGUF](https://huggingface.co/mradermacher/CodeLlama-13b-Instruct-hf-abliterated-i1-GGUF/resolve/main/CodeLlama-13b-Instruct-hf-abliterated.i1-Q6_K.gguf) | i1-Q6_K | 10.8 | 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..3bf4a9a --- /dev/null +++ b/imatrix.dat @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:913ceb7d7708ec29d76900fdd8594101b53794e2bbe9e9cf71bcb030f54e69e5 +size 7136325