109 lines
5.2 KiB
Markdown
109 lines
5.2 KiB
Markdown
---
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base_model: PJMixers-Dev/Granite-3.1-Earthen-v0.3-3B-A800M
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datasets:
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- BeaverAI/REDACTED1
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- BeaverAI/REDACTED2
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- BeaverAI/REDACTED3
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- BeaverAI/REDACTED4
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- BeaverAI/REDACTED5
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- BeaverAI/REDACTED6
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- PJMixers-Dev/Lit-axo-Shuffled
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- PJMixers-Dev/Mielikki_Erebus-87k-axo
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- PJMixers/RyokoAI_Honeyfeed3600-Cleanish
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- PJMixers-Dev/allura-org_fujin-cleaned-stage-2-axo
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- Nelathan/synthetic-sugar-quill
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- PJMixers-Dev/winglian_visual-novels-json-axo-dropped-long
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- PJMixers-Dev/recursal_SCP-RECURSAL-Cleaned
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- PJMixers-Dev/Subtitles
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- PJMixers-Dev/KaraKaraWitch_AnimeSubtitle-axo
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- PJMixers/AP-News-2024
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- PJMixers-Dev/Fundus-AP-News-Formatted
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- PJMixers-Dev/Fundus-AP-News-2-Formatted
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- PJMixers-Dev/goodwiki-2024-12-04-axo
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- epfl-llm/guidelines
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- PJMixers-Dev/allenai_tulu-3-sft-mixture-filtered-2-ShareGPT
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- OpenLeecher/lmsys_chat_1m_clean
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- PJMixers-Dev/Gryphe-Aesir-RPG-Charcards-Opus-Mixed
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- allura-org/gryphe-sonnet-3.5-charcards-names-added
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- anthracite-org/c2_logs_32k_llama3_qwen2_v1.3
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- PJMixers-Dev/MinervaAI_Aesir-Preview-Anon
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- PJMixers-Dev/lemonilia_LimaRP-Simple-CustomShareGPT-Shuffled
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- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
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- PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT
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- PJMixers/OpenLeecher_Teatime_all_logs_longest-ShareGPT
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- grimulkan/aicg-logs-augmented
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- grimulkan/PIPPA-augmented-dedup
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- PJMixers/grimulkan_bluemoon_Karen_cleaned-carded-formatted
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- PJMixers/lodrick-the-lafted_OpusStories-ShareGPT
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- Gryphe/ChatGPT-4o-Writing-Prompts
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- Gryphe/Opus-WritingPrompts
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- anthracite-org/nopm_claude_writing_fixed
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- PJMixers-Dev/Tiefighter-13B-Fake-Distill-ShareGPT
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- allura-org/fujin-instruct-v2
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- ToastyPigeon/gutenberg-sft
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- PocketDoc/Dans-Prosemaxx-Adventure
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- PocketDoc/Dans-Failuremaxx-Adventure-3
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- TheDrummer/AmoralQA-v2
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language:
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- en
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library_name: transformers
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license: apache-2.0
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quantized_by: mradermacher
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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/PJMixers-Dev/Granite-3.1-Earthen-v0.3-3B-A800M
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<!-- provided-files -->
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weighted/imatrix quants are available at https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-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/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.Q2_K.gguf) | Q2_K | 1.3 | |
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| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.Q3_K_S.gguf) | Q3_K_S | 1.6 | |
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| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.Q3_K_M.gguf) | Q3_K_M | 1.7 | lower quality |
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| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.Q3_K_L.gguf) | Q3_K_L | 1.8 | |
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| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.IQ4_XS.gguf) | IQ4_XS | 1.9 | |
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| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.Q4_K_S.gguf) | Q4_K_S | 2.0 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.Q4_K_M.gguf) | Q4_K_M | 2.1 | fast, recommended |
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| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.Q5_K_S.gguf) | Q5_K_S | 2.4 | |
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| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.Q5_K_M.gguf) | Q5_K_M | 2.5 | |
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| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.Q6_K.gguf) | Q6_K | 2.8 | very good quality |
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| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.Q8_0.gguf) | Q8_0 | 3.6 | fast, best quality |
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| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.f16.gguf) | f16 | 6.7 | 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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