初始化项目，由ModelHub XC社区提供模型

Model: mradermacher/Albert_Wesker-1B-i1-GGUF Source: Original Platform
2026-04-12 08:32:00 +08:00
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+---
+base_model: UmbrellaInc/Albert_Wesker-1B
+datasets:
+- TeichAI/glm-4.7-2000x
+- chimbiwide/RolePlay-NPCv2
+- berkeruveyik/toxic-speech-annotated-dataset
+- mlabonne/FineTome-100k
+- ITCL/FineTomeOs
+- Gryphe/ChatGPT-4o-Writing-Prompts
+- dongguanting/ARPO-SFT-54K
+- GreenerPastures/All-Your-Base-Full
+- Gryphe/Opus-WritingPrompts
+- HuggingFaceH4/MATH-500
+- mlabonne/smoltalk-flat
+- mlabonne/natural_reasoning-formatted
+- OpenSPG/KAG-Thinker-training-dataset
+- uclanlp/Brief-Pro
+- CognitiveKernel/CognitiveKernel-Pro-SFT
+- SuperbEmphasis/Claude-4.0-DeepSeek-R1-RP-SFWish
+- QuixiAI/dolphin-r1
+- mlabonne/lmsys-arena-human-sft-55k
+language:
+- tr
+- ar
+- af
+- az
+- es
+- en
+- el
+- ro
+- ru
+- rm
+- th
+- uk
+- uz
+- pl
+- pt
+- fa
+- sk
+- sl
+- da
+- de
+- nl
+- fr
+- fi
+- ka
+- hi
+- hu
+- hy
+- ja
+- kk
+- kn
+- ko
+- ku
+- ky
+- la
+- lb
+- id
+- is
+- it
+- zh
+- cs
+- vi
+- be
+- bg
+- bs
+- ne
+- mn
+library_name: transformers
+license: gemma
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- npc
+- roleplay
+- rp
+- nsfw
+- low-refusals
+- uncensored
+- heretic
+- abliterated
+- unsloth
+- finetune
+- all use cases
+- bfloat16
+- creative
+- creative writing
+- fiction writing
+- plot generation
+- sub-plot generation
+- fiction writing
+- story generation
+- scene continue
+- storytelling
+- fiction story
+- science fiction
+- romance
+- slice of life
+- all genres
+- story
+- writing
+- vivid prosing
+- vivid writing
+- fiction
+- text-generation
+- transformers
+- safetensors
+- gemma3
+- mergekit
+- karcher mean
+- uncensored
+- heretic
+- roleplay
+- nsfw
+- virus
+- t-virus
+- low-end
+- conversational
+- think
+- Not-For-All-Audiences
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags: nicoboss -->
+<!-- ### quants:  Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->
+<!-- ### quants_skip:  -->
+<!-- ### skip_mmproj:  -->
+weighted/imatrix quants of https://huggingface.co/UmbrellaInc/Albert_Wesker-1B
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Albert_Wesker-1B-i1-GGUF).***
+
+static quants are available at https://huggingface.co/mradermacher/Albert_Wesker-1B-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/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.imatrix.gguf) | imatrix | 0.1 | imatrix file (for creating your own quants) |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ1_S.gguf) | i1-IQ1_S | 0.7 | for the desperate |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ1_M.gguf) | i1-IQ1_M | 0.7 | mostly desperate |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ2_S.gguf) | i1-IQ2_S | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ2_M.gguf) | i1-IQ2_M | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.8 | very low quality |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.8 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 0.8 | IQ3_XS probably better |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ3_S.gguf) | i1-IQ3_S | 0.8 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q2_K.gguf) | i1-Q2_K | 0.8 | IQ3_XXS probably better |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ3_M.gguf) | i1-IQ3_M | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-IQ4_NL.gguf) | i1-IQ4_NL | 0.8 | prefer IQ4_XS |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q4_0.gguf) | i1-Q4_0 | 0.8 | fast, low quality |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 0.8 | IQ3_S probably better |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 0.9 | IQ3_M probably better |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q4_1.gguf) | i1-Q4_1 | 0.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 0.9 | optimal size/speed/quality |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 0.9 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 0.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/Albert_Wesker-1B-i1-GGUF/resolve/main/Albert_Wesker-1B.i1-Q6_K.gguf) | i1-Q6_K | 1.1 | practically like static Q6_K |
+
+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. 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.
+
+<!-- end -->