nsfw

llama

roleplay

creative

erotic

Model card Files Files and versions

xet

Community

Instructions to use mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

Transformers

How to use mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF with Ollama:
```
ollama run hf.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.BRUTAL_HAL-RP-3.2-1B-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

mradermacher commited on Sep 14, 2025

Commit

8eec152

verified ·

1 Parent(s): 21766db

auto-patch README.md

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README.md +120 -0

README.md CHANGED Viewed

@@ -1,3 +1,72 @@
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
@@ -7,3 +76,54 @@
 <!-- ### quants_skip:  -->
 <!-- ### skip_mmproj:  -->
 static quants of https://huggingface.co/Novaciano/BRUTAL_HAL-RP-3.2-1B

+---
+base_model: Novaciano/BRUTAL_HAL-RP-3.2-1B
+datasets:
+- marcuscedricridia/unAIthical-ShareGPT-deepclean-sharegpt
+- WasamiKirua/Her-Samantha-Style
+- 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:
+- en
+- es
+library_name: transformers
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- mergekit
+- merge
+- nsfw
+- rp
+- 1b
+- llama
+- roleplay
+- creative
+- erotic
+- friend
+- girlfriend
+- perturbations
+- llama-cpp
+- Hal9000
+---
+## About
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### quants_skip:  -->
 <!-- ### skip_mmproj:  -->
 static quants of https://huggingface.co/Novaciano/BRUTAL_HAL-RP-3.2-1B
+<!-- provided-files -->
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#BRUTAL_HAL-RP-3.2-1B-GGUF).***
+weighted/imatrix quants are available at https://huggingface.co/mradermacher/BRUTAL_HAL-RP-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/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-3.2-1B.Q2_K.gguf) | Q2_K | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-3.2-1B.Q3_K_S.gguf) | Q3_K_S | 0.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-3.2-1B.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-3.2-1B.Q3_K_L.gguf) | Q3_K_L | 0.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-3.2-1B.IQ4_XS.gguf) | IQ4_XS | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-3.2-1B.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-3.2-1B.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-3.2-1B.Q5_K_S.gguf) | Q5_K_S | 1.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-3.2-1B.Q5_K_M.gguf) | Q5_K_M | 1.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-3.2-1B.Q6_K.gguf) | Q6_K | 1.3 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-3.2-1B.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/BRUTAL_HAL-RP-3.2-1B-GGUF/resolve/main/BRUTAL_HAL-RP-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 -->