255 lines
18 KiB
Markdown
255 lines
18 KiB
Markdown
---
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base_model: p-e-w/Llama-3.1-8B-Instruct-heretic
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extra_gated_prompt: "### LLAMA 3.1 COMMUNITY LICENSE AGREEMENT\nLlama 3.1 Version
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Release Date: July 23, 2024\n\"Agreement\" means the terms and conditions for use,
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reproduction, distribution and modification of the Llama Materials set forth herein.\n\"Documentation\"
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or heavy machinery\n 5. Self-harm or harm to others, including suicide, cutting,
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and eating disorders\n 6. Any content intended to incite or promote violence,
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abuse, or any infliction of bodily harm to an individual\n3. Intentionally deceive
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Generating, promoting, or furthering fraud or the creation or promotion of disinformation\n
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of defamatory statements, images, or other content\n 3. Generating, promoting,
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disclose to end users any known dangers of your AI system\nPlease report any violation
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\ * Reporting bugs and security concerns: facebook.com/whitehat/info\n * Reporting
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violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: LlamaUseReport@meta.com"
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language:
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- en
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- de
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- fr
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- it
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- pt
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- hi
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- es
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- th
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library_name: transformers
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license: llama3.1
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mradermacher:
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readme_rev: 1
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quantized_by: mradermacher
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tags:
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- facebook
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- unsloth
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- meta
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- pytorch
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- llama
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- llama-3
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- heretic
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- uncensored
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- decensored
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- abliterated
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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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<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->
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<!-- ### quants_skip: -->
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<!-- ### skip_mmproj: -->
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static quants of https://huggingface.co/p-e-w/Llama-3.1-8B-Instruct-heretic
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<!-- provided-files -->
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***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Llama-3.1-8B-Instruct-heretic-GGUF).***
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-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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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.Q2_K.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.Q2_K.gguf) | Q2_K | 6.5 | |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.Q3_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.Q3_K_S.gguf) | Q3_K_S | 7.4 | |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.Q3_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.Q3_K_M.gguf) | Q3_K_M | 8.1 | lower quality |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.Q3_K_L.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.Q3_K_L.gguf) | Q3_K_L | 8.7 | |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.IQ4_XS.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.IQ4_XS.gguf) | IQ4_XS | 9.1 | |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.Q4_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.Q4_K_S.gguf) | Q4_K_S | 9.5 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.Q4_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.Q4_K_M.gguf) | Q4_K_M | 9.9 | fast, recommended |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.Q5_K_S.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.Q5_K_S.gguf) | Q5_K_S | 11.3 | |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.Q5_K_M.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.Q5_K_M.gguf) | Q5_K_M | 11.6 | |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.Q6_K.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.Q6_K.gguf) | Q6_K | 13.3 | very good quality |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.Q8_0.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.Q8_0.gguf) | Q8_0 | 17.2 | fast, best quality |
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| [PART 1](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-Heretic.f16.gguf) [PART 2](https://huggingface.co/mradermacher/Llama-3.1-8B-Instruct-heretic-GGUF/resolve/main/Llama-3.1-8B-Instruct-heretic.f16.gguf) | f16 | 32.2 | 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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