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---
base_model: PJMixers-Dev/Granite-3.1-Earthen-v0.3-3B-A800M
datasets:
- BeaverAI/REDACTED1
- BeaverAI/REDACTED2
- BeaverAI/REDACTED3
- BeaverAI/REDACTED4
- BeaverAI/REDACTED5
- BeaverAI/REDACTED6
- PJMixers-Dev/Lit-axo-Shuffled
- PJMixers-Dev/Mielikki_Erebus-87k-axo
- PJMixers/RyokoAI_Honeyfeed3600-Cleanish
- PJMixers-Dev/allura-org_fujin-cleaned-stage-2-axo
- Nelathan/synthetic-sugar-quill
- PJMixers-Dev/winglian_visual-novels-json-axo-dropped-long
- PJMixers-Dev/recursal_SCP-RECURSAL-Cleaned
- PJMixers-Dev/Subtitles
- PJMixers-Dev/KaraKaraWitch_AnimeSubtitle-axo
- PJMixers/AP-News-2024
- PJMixers-Dev/Fundus-AP-News-Formatted
- PJMixers-Dev/Fundus-AP-News-2-Formatted
- PJMixers-Dev/goodwiki-2024-12-04-axo
- epfl-llm/guidelines
- PJMixers-Dev/allenai_tulu-3-sft-mixture-filtered-2-ShareGPT
- OpenLeecher/lmsys_chat_1m_clean
- PJMixers-Dev/Gryphe-Aesir-RPG-Charcards-Opus-Mixed
- allura-org/gryphe-sonnet-3.5-charcards-names-added
- anthracite-org/c2_logs_32k_llama3_qwen2_v1.3
- PJMixers-Dev/MinervaAI_Aesir-Preview-Anon
- PJMixers-Dev/lemonilia_LimaRP-Simple-CustomShareGPT-Shuffled
- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
- PJMixers-Dev/NyxKrage_chub-logs-sharegpt-longest-CustomShareGPT
- PJMixers/OpenLeecher_Teatime_all_logs_longest-ShareGPT
- grimulkan/aicg-logs-augmented
- grimulkan/PIPPA-augmented-dedup
- PJMixers/grimulkan_bluemoon_Karen_cleaned-carded-formatted
- PJMixers/lodrick-the-lafted_OpusStories-ShareGPT
- Gryphe/ChatGPT-4o-Writing-Prompts
- Gryphe/Opus-WritingPrompts
- anthracite-org/nopm_claude_writing_fixed
- PJMixers-Dev/Tiefighter-13B-Fake-Distill-ShareGPT
- allura-org/fujin-instruct-v2
- ToastyPigeon/gutenberg-sft
- PocketDoc/Dans-Prosemaxx-Adventure
- PocketDoc/Dans-Failuremaxx-Adventure-3
- TheDrummer/AmoralQA-v2
language:
- en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
---
## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
<!-- ### tags: nicoboss -->
weighted/imatrix quants of https://huggingface.co/PJMixers-Dev/Granite-3.1-Earthen-v0.3-3B-A800M
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-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/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-Q2_K.gguf) | i1-Q2_K | 1.3 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 1.4 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-IQ3_XS.gguf) | i1-IQ3_XS | 1.5 | |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-IQ3_S.gguf) | i1-IQ3_S | 1.6 | beats Q3_K* |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-Q3_K_S.gguf) | i1-Q3_K_S | 1.6 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-IQ3_M.gguf) | i1-IQ3_M | 1.6 | |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-Q3_K_M.gguf) | i1-Q3_K_M | 1.7 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.8 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.9 | |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-IQ4_NL.gguf) | i1-IQ4_NL | 2.0 | prefer IQ4_XS |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-Q4_0.gguf) | i1-Q4_0 | 2.0 | fast, low quality |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-Q4_K_S.gguf) | i1-Q4_K_S | 2.0 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-Q4_K_M.gguf) | i1-Q4_K_M | 2.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-Q4_1.gguf) | i1-Q4_1 | 2.2 | |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-Q5_K_S.gguf) | i1-Q5_K_S | 2.4 | |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-Q5_K_M.gguf) | i1-Q5_K_M | 2.5 | |
| [GGUF](https://huggingface.co/mradermacher/Granite-3.1-Earthen-v0.3-3B-A800M-i1-GGUF/resolve/main/Granite-3.1-Earthen-v0.3-3B-A800M.i1-Q6_K.gguf) | i1-Q6_K | 2.8 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
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.
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