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Model: percyraskova/MLMLML
Source: Original Platform

README.md

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+---
+license: agpl-3.0
+base_model: unsloth/DeepSeek-R1-0528-Qwen3-8B
+tags:
+- marxism-leninism
+- grpo
+- llama-cpp
+- ollama
+- political-education
+- marxism
+- communism
+- political-extremism
+language:
+- en
+pipeline_tag: text-generation
+---
+
+# MLMLML - Machine Learning Marxist-Leninist Models of Language
+
+A GRPO fine-tuned language model for Marxist-Leninist political education and analysis.
+
+## Model Description
+
+This model is fine-tuned from `unsloth/DeepSeek-R1-0528-Qwen3-8B` using Group Relative Policy Optimization (GRPO) 
+on a curated dataset of Marxist-Leninist Q&A pairs from [ProleWiki](https://en.prolewiki.org/).
+
+The training rewards:
+- **Ideological firmness**: Clear positions grounded in material analysis
+- **Coherence**: Self-consistent, well-structured responses
+- **Accuracy**: Faithful to Marxist-Leninist theory and historical evidence
+
+The training penalizes:
+- "Both-sidesing" and false balance
+- Hedging and evasive language
+- Bourgeois framing and ahistorical claims
+
+## Writing Style
+
+Following Chairman Mao's guidance in "Oppose Stereotyped Party Writing":
+- **Vigorous, lively, fresh and forceful** - never drab or stereotyped
+- **Audience-aware** - "When shooting an arrow, one must aim at the target"
+- **Investigation-based** - "No investigation, no right to speak"
+- **Clear positions** - FOR and AGAINST, using scientific argument
+
+## Usage
+
+### Download and Convert to GGUF
+
+```bash
+# Clone the repo
+git lfs install
+git clone https://huggingface.co/percyraskova/MLMLML
+cd MLMLML
+
+# Convert to GGUF (requires llama.cpp)
+python ~/llama.cpp/convert_hf_to_gguf.py . --outfile MLMLML-F16.gguf --outtype f16
+
+# Quantize to Q4_K_M
+~/llama.cpp/build/bin/llama-quantize MLMLML-F16.gguf MLMLML-Q4_K_M.gguf Q4_K_M
+
+# Create Ollama model
+ollama create mlmlml -f Modelfile
+ollama run mlmlml
+```
+
+### Direct with Transformers
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("percyraskova/MLMLML")
+tokenizer = AutoTokenizer.from_pretrained("percyraskova/MLMLML")
+
+inputs = tokenizer("What is imperialism?", return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=512)
+print(tokenizer.decode(outputs[0]))
+```
+
+## Training Details
+
+- **Base model**: unsloth/DeepSeek-R1-0528-Qwen3-8B
+- **Method**: GRPO (Group Relative Policy Optimization)
+- **Dataset**: ProleWiki Q&A pairs (~4500 samples)
+- **Epochs**: 2
+- **Hardware**: NVIDIA A100 80GB
+
+## Limitations
+
+This model is designed for educational purposes about Marxist-Leninist theory and analysis.
+It takes clear ideological positions and is not intended to be "neutral" on class struggle,
+imperialism, or other questions where Marxism-Leninism has definite answers.
+
+## License
+
+Apache 2.0
+
+## Citation
+
+If you use this model, please cite ProleWiki as the source of training data.