---
base_model: Novaciano/BAHAMUTH-PURGED-3.2-1B
datasets:
- HuggingFaceTB/smoltalk
- Guilherme34/uncensor
- teknium/OpenHermes-2.5
- passing2961/multifaceted-skill-of-mind
- PawanKrd/math-gpt-4o-200k
- V3N0M/Jenna-50K-Alpaca-Uncensored
- cognitivecomputations/dolphin-coder
- mlabonne/FineTome-100k
- microsoft/orca-math-word-problems-200k
- CarrotAI/ko-instruction-dataset
- Salesforce/xlam-function-calling-60k
- anthracite-org/kalo-opus-instruct-22k-no-refusal
- anthracite-org/stheno-filtered-v1.1
- anthracite-org/nopm_claude_writing_fixed
- AiAF/SCPWiki-Archive-02-March-2025-Datasets
- huihui-ai/QWQ-LONGCOT-500K
- huihui-ai/LONGCOT-Refine-500K
- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
- alexandreteles/AlpacaToxicQA_ShareGPT
- Nitral-AI/Active_RP-ShareGPT
- PJMixers/hieunguyenminh_roleplay-deduped-ShareGPT
- Nitral-AI/RP_Alignment-ShareGPT
- Chaser-cz/sonnet35-charcard-roleplay-sharegpt
- AiCloser/sharegpt_cot_dataset
- PJMixers/Gryphe_Opus-WritingPrompts-Story2Prompt-ShareGPT
- priveeai/pippa_sharegpt
- Locutusque/sharegpt_gpt4_uncensored_cleaned
- OpenCoder-LLM/opc-sft-stage1
- OpenCoder-LLM/opc-sft-stage2
- microsoft/orca-agentinstruct-1M-v1
- NousResearch/hermes-function-calling-v1
- AI-MO/NuminaMath-CoT
- AI-MO/NuminaMath-TIR
- allenai/tulu-3-sft-mixture
- cognitivecomputations/samantha-data
- m-a-p/CodeFeedback-Filtered-Instruction
- m-a-p/Code-Feedback
- FreedomIntelligence/medical-o1-reasoning-SFT
language:
- es
- en
library_name: transformers
license: mit
quantized_by: mradermacher
tags:
- mergekit
- merge
- llama
- llama3.2
- rp
- roleplay
- nsfw
- 1b
- not-for-all-audiences
---
## About

<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type:  -->
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static quants of https://huggingface.co/Novaciano/BAHAMUTH-PURGED-3.2-1B

<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-i1-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/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.Q2_K.gguf) | Q2_K | 0.8 |  |
| [GGUF](https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.Q3_K_S.gguf) | Q3_K_S | 0.9 |  |
| [GGUF](https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |
| [GGUF](https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.Q3_K_L.gguf) | Q3_K_L | 0.9 |  |
| [GGUF](https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.IQ4_XS.gguf) | IQ4_XS | 1.0 |  |
| [GGUF](https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.Q5_K_S.gguf) | Q5_K_S | 1.2 |  |
| [GGUF](https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.Q5_K_M.gguf) | Q5_K_M | 1.2 |  |
| [GGUF](https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.Q6_K.gguf) | Q6_K | 1.3 | very good quality |
| [GGUF](https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |
| [GGUF](https://huggingface.co/mradermacher/BAHAMUTH-PURGED-3.2-1B-GGUF/resolve/main/BAHAMUTH-PURGED-3.2-1B.f16.gguf) | f16 | 3.1 | 16 bpw, overkill |

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.

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