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BAHAMUTH-PURGED-3.2-1B-GGUF

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metadata
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

static quants of https://huggingface.co/Novaciano/BAHAMUTH-PURGED-3.2-1B

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 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 Q2_K 0.8
GGUF Q3_K_S 0.9
GGUF Q3_K_M 0.9 lower quality
GGUF Q3_K_L 0.9
GGUF IQ4_XS 1.0
GGUF Q4_K_S 1.0 fast, recommended
GGUF Q4_K_M 1.1 fast, recommended
GGUF Q5_K_S 1.2
GGUF Q5_K_M 1.2
GGUF Q6_K 1.3 very good quality
GGUF Q8_0 1.7 fast, best quality
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

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, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.