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Model: mradermacher/BLAST_PROCESSING-3.2-1B-GGUF
Source: Original Platform

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README.md

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+---
+base_model: Novaciano/BLAST_PROCESSING-3.2-1B
+datasets:
+- 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
+- passing2961/multifaceted-skill-of-mind
+- 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
+- microsoft/orca-math-word-problems-200k
+- NousResearch/hermes-function-calling-v1
+- AI-MO/NuminaMath-CoT
+- AI-MO/NuminaMath-TIR
+- allenai/tulu-3-sft-mixture
+- cognitivecomputations/dolphin-coder
+- HuggingFaceTB/smoltalk
+- cognitivecomputations/samantha-data
+- m-a-p/CodeFeedback-Filtered-Instruction
+- m-a-p/Code-Feedback
+- mlabonne/FineTome-100k
+- PawanKrd/math-gpt-4o-200k
+- V3N0M/Jenna-50K-Alpaca-Uncensored
+- FreedomIntelligence/medical-o1-reasoning-SFT
+language:
+- es
+- en
+library_name: transformers
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- transformers
+- mergekit
+- merge
+- 1b
+- rp
+- nsfw
+- roleplay
+- español
+- uncensored
+- llama
+- llama3.2
+- not-for-all-audiences
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags:  -->
+static quants of https://huggingface.co/Novaciano/BLAST_PROCESSING-3.2-1B
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#BLAST_PROCESSING-3.2-1B-GGUF).***
+
+weighted/imatrix quants are available at https://huggingface.co/mradermacher/BLAST_PROCESSING-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/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q2_K.gguf) | Q2_K | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q3_K_S.gguf) | Q3_K_S | 0.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q3_K_L.gguf) | Q3_K_L | 0.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.IQ4_XS.gguf) | IQ4_XS | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q5_K_S.gguf) | Q5_K_S | 1.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q5_K_M.gguf) | Q5_K_M | 1.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q6_K.gguf) | Q6_K | 1.3 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-3.2-1B.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/BLAST_PROCESSING-3.2-1B-GGUF/resolve/main/BLAST_PROCESSING-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.
+
+<!-- end -->