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tank-qwen3.5-4b-v0.3 – AI Model by ewald1976 | AlphaNeural AI
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tank-qwen3.5-4b-v0.3
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safetensors
qwen3_5
experimental
unsloth
qlora
politics
text-generation
conversational
en
WokeAI/tankie-special-prompts
WokeAI/polititune-tankie-warmup-3
Qwen/Qwen3.5-4B
finetune
apache-2.0
us
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tank-qwen3.5-4b-v0.3
tank_bear_small
Experimental QLoRA finetune of Qwen3.5-4B focused on ideological and argumentative steering.
This model was created as a learning and experimentation project to explore:
semantic steering
ontology shaping
reasoning drift
lightweight LoRA finetuning
dataset mixing and curation
Base Model
Qwen3.5-4B
Training Method
QLoRA
Unsloth
4-bit training
Datasets
Primary datasets used during experimentation:
WokeAI/polititune-tankie-warmup-3
WokeAI/tankie-special-prompts
Characteristics
The finetune intentionally biases the model toward:
marxist/materialist analysis
class-based framing
ideological consistency
argumentative persistence
The model may:
strongly reinterpret political and economic questions through class analysis
provide ideological or revolutionary framing
present controversial political opinions confidently
This behavior is intentional and part of the experiment.
Limitations
This is an experimental finetune and was not trained for:
factual neutrality
balanced political discussion
historical accuracy
safety-critical usage
Outputs may contain:
ideological bias
historical simplifications
overconfident reasoning
persuasive argumentative structures
Intended Use
research
experimentation
RP/persona exploration
semantic steering studies
LoRA experimentation
Not Intended For
political persuasion
misinformation
real-world activism guidance
factual/historical reference
safety-critical systems
Notes
This project was created primarily to understand how small curated datasets can influence:
reasoning style
interpretative frameworks
conversational behavior
semantic priorities
License
Please refer to the license of the original base model and datasets.