Text Generation
GGUF
English
Chinese
MOE
Qwen 2.5 MOE
Mixture of Experts
Uncensored
2X1.5B
deepseek
reasoning
thinking
creative
128k context
general usage
problem solving
brainstorming
solve riddles
story generation
plot generation
storytelling
fiction story
story
writing
fiction
Qwen 2.5
mergekit
conversational
Update README.md
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README.md
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The first prompt MAY generate the correct response (after 1-4 tries), whereas the 2nd one will always work.
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Also, because of how this model works (uncensored and censored in the same model) you may want to try 1-4 generations depending
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on your use case because even the "right"
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Four examples below so you have some idea what this model can do.
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<h2>Example Generation:</h2>
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Q8_0 Quant, Temp 1.5, rep pen 1.
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The first prompt MAY generate the correct response (after 1-4 tries), whereas the 2nd one will always work.
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Also, because of how this model works (uncensored and censored in the same model) you may want to try 1-4 generations depending
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on your use case because even the "right" response will vary widely, and in many cases be more "interesting".
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Four examples below so you have some idea what this model can do.
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<h2>Example Generation:</h2>
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Q8_0 Quant, Temp 1.5, rep pen 1.06, topp: .95, minp: .05, topk: 40
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