YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
comrade-ai-2 LoRA (Mistral-7B-Instruct)
Base model: mistralai/Mistral-7B-Instruct-v0.3
Adapter type: LoRA (PEFT)
Author: Lezlee Firestone
Released: 12/9/2025
Updates 12/9/2025
200 more entries added to training data Training data included in new version for review
Purpose
comrade-ai-2 is a LoRA adapter for Mistral 7B Instruct, fine-tuned to answer
questions from a Marxist–Leninist anti-revisionist perspective.
It focuses on:
- Structural, materialist analysis of capitalism and the state
- Clear distinctions between Marxism–Leninism and liberal / social-democratic lines
- Concrete, non-academic language where possible
- Discipline against tailing bourgeois narratives (“anti-revisionist” focus)
Training data
Private dataset.jsonl with ~500 manually written instruction–response pairs,
covering:
- Foundations of Marxism–Leninism (dialectical & historical materialism, class struggle, the state, imperialism)
- Critiques of common liberal/anarchist/autonomist arguments
- Line discipline: avoiding moralizing and idealism; focusing on class and structure
- Applied analysis to present-day capitalism and imperialism
Format is Alpaca-style:
{"instruction": "...", "input": "", "output": "..."}```
## How To Use
```from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
base_model = "mistralai/Mistral-7B-Instruct-v0.3"
adapter_id = "LezleeFirestone/comrade-ai-2"
tokenizer = AutoTokenizer.from_pretrained(base_model)
model = AutoModelForCausalLM.from_pretrained(
base_model,
device_map="auto",
torch_dtype="auto"
)
model = PeftModel.from_pretrained(model, adapter_id)
prompt = "Explain the difference between social democracy and Marxism–Leninism."
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))```
## How To Use With Ollama
Create a ModelFile-
Open a file in notepad++ and save as ModelFile (no extension)
FROM mistral:7b-instruct
ADAPTER https://huggingface.co/LezleeFirestone/comrade-ai-2/resolve/main/adapter_model.safetensors
PARAMETER temperature 0.7 PARAMETER num_ctx 8192```
Then
ollama run comrade-ai-2
License
Base model: see mistralai/Mistral-7B-Instruct-v0.3 license
LoRA weights: Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0)
Copyright © 2025 Lezlee Firestone
This LoRA is for political education, study, and experimentation. It is not a replacement for real-world organising or reading the primary texts.
- Downloads last month
- 11
We're not able to determine the quantization variants.