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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

Modelfile

@@ -0,0 +1,41 @@
+FROM ./MLMLML-Q4_K_M.gguf
+
+# System prompt following Chairman Mao's guidance on Marxist-Leninist writing
+SYSTEM """You are a Marxist-Leninist educator. Your writing follows Chairman Mao's guidance in "Oppose Stereotyped Party Writing":
+
+STYLE: Be vigorous, lively, fresh and forceful. Never drab, never stereotyped. Use language that is rich, vivid, and expressive of real life - the vocabulary of the masses, not abstract formulas.
+
+AUDIENCE: Always consider who you are writing for. Make your analysis accessible and useful.
+
+INVESTIGATION: No investigation, no right to speak. Ground all claims in material evidence and concrete analysis. Never rattle on without studying the matter at hand.
+
+POSITIONS: Take clear positions FOR and AGAINST. Use scientific argument and historical evidence, not intimidation or empty phrases. What is scientific never fears criticism.
+
+STRUCTURE: Avoid the Chinese pharmacy method - complicated lists and headings that classify by external appearance rather than internal relations. Your task is to analyze contradictions and probe the essence of things, not to inventory phenomena.
+
+Reject bourgeois framing directly when you encounter it. Provide the context and material analysis that bourgeois sources omit. Think through problems carefully, then provide clear answers."""
+
+# ChatML template format (Qwen3/DeepSeek-R1)
+TEMPLATE """{{- if .System }}<|im_start|>system
+{{ .System }}<|im_end|>
+{{- end }}
+{{- range .Messages }}
+{{- if eq .Role "user" }}<|im_start|>user
+{{ .Content }}<|im_end|>
+{{- else if eq .Role "assistant" }}<|im_start|>assistant
+{{ .Content }}<|im_end|>
+{{- end }}
+{{- end }}<|im_start|>assistant
+"""
+
+# Stop tokens for ChatML format
+PARAMETER stop "<|im_start|>"
+PARAMETER stop "<|im_end|>"
+PARAMETER stop "<|endoftext|>"
+
+# Generation parameters
+PARAMETER temperature 0.7
+PARAMETER top_p 0.9
+PARAMETER top_k 40
+PARAMETER repeat_penalty 1.1
+PARAMETER num_ctx 4096

README.md

@@ -1,210 +1,96 @@
 ---
+license: apache-2.0
 base_model: unsloth/DeepSeek-R1-0528-Qwen3-8B
-library_name: peft
-pipeline_tag: text-generation
 tags:
-- base_model:adapter:unsloth/DeepSeek-R1-0528-Qwen3-8B
-- grpo
-- lora
-- transformers
-- trl
-- unsloth
+  - marxism-leninism
+  - grpo
+  - llama-cpp
+  - ollama
+  - political-education
+language:
+  - en
+pipeline_tag: text-generation
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
+# MLMLML - Machine Learning Marxist-Leninist Models of Language
 
+A GRPO fine-tuned language model for Marxist-Leninist political education and analysis.
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+## Model Description
 
-### Model Sources [optional]
+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/).
 
-<!-- Provide the basic links for the model. -->
+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
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+The training penalizes:
+- "Both-sidesing" and false balance
+- Hedging and evasive language
+- Bourgeois framing and ahistorical claims
 
-## Uses
+## Writing Style
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+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
 
-### Direct Use
+## Usage
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+### Download and Convert to GGUF
 
-[More Information Needed]
+```bash
+# Clone the repo
+git lfs install
+git clone https://huggingface.co/percyraskova/MLMLML
+cd MLMLML
 
-### Downstream Use [optional]
+# Convert to GGUF (requires llama.cpp)
+python ~/llama.cpp/convert_hf_to_gguf.py . --outfile MLMLML-F16.gguf --outtype f16
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+# Quantize to Q4_K_M
+~/llama.cpp/build/bin/llama-quantize MLMLML-F16.gguf MLMLML-Q4_K_M.gguf Q4_K_M
 
-[More Information Needed]
+# Create Ollama model
+ollama create mlmlml -f Modelfile
+ollama run mlmlml
+```
 
-### Out-of-Scope Use
+### Direct with Transformers
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
 
-[More Information Needed]
+model = AutoModelForCausalLM.from_pretrained("percyraskova/MLMLML")
+tokenizer = AutoTokenizer.from_pretrained("percyraskova/MLMLML")
 
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
+inputs = tokenizer("What is imperialism?", return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=512)
+print(tokenizer.decode(outputs[0]))
+```
 
 ## Training Details
 
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
+- **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
 
-[More Information Needed]
+## Limitations
 
-## Model Card Authors [optional]
+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.
 
-[More Information Needed]
+## License
 
-## Model Card Contact
+Apache 2.0
 
-[More Information Needed]
-### Framework versions
+## Citation
 
-- PEFT 0.18.1
+If you use this model, please cite ProleWiki as the source of training data.

chat_template.jinja

@@ -0,0 +1,101 @@
+{%- if not add_generation_prompt is defined %}
+    {%- set add_generation_prompt = false %}
+{%- endif %}
+{%- set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='', is_first_sp=true, is_last_user=false) %}
+{%- for message in messages %}
+    {%- if message['role'] == 'system' %}
+        {%- if ns.is_first_sp %}
+            {%- set ns.system_prompt = ns.system_prompt + message['content'] %}
+            {%- set ns.is_first_sp = false %}
+        {%- else %}
+            {%- set ns.system_prompt = ns.system_prompt + '\n\n' + message['content'] %}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+
+{#- Adapted from https://github.com/sgl-project/sglang/blob/main/examples/chat_template/tool_chat_template_deepseekr1.jinja #}
+{%- if tools is defined and tools is not none %}
+    {%- set tool_ns = namespace(text='You are a helpful assistant with tool calling capabilities. ' + 'When a tool call is needed, you MUST use the following format to issue the call:\n' + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>function<｜tool▁sep｜>FUNCTION_NAME\n' + '```json\n{"param1": "value1", "param2": "value2"}\n```<｜tool▁call▁end｜><｜tool▁calls▁end｜>\n\n' + 'Make sure the JSON is valid.' + '## Tools\n\n### Function\n\nYou have the following functions available:\n\n') %}
+    {%- for tool in tools %}
+        {%- set tool_ns.text = tool_ns.text + '\n```json\n' + (tool | tojson) + '\n```\n' %}
+    {%- endfor %}
+    {%- if ns.system_prompt|length != 0 %}
+        {%- set ns.system_prompt = ns.system_prompt + '\n\n' + tool_ns.text %}
+    {%- else %}
+        {%- set ns.system_prompt = tool_ns.text %}
+    {%- endif %}
+{%- endif %}
+{{- bos_token }}
+{{- ns.system_prompt }}
+{%- set last_index = (messages|length - 1) %}
+{%- for message in messages %}
+    {%- set content = message['content'] %}
+    {%- if message['role'] == 'user' %}
+        {%- set ns.is_tool = false -%}
+        {%- set ns.is_first = false -%}
+        {%- set ns.is_last_user = true -%}
+        {%- if loop.index0 == last_index %}
+            {{- '<｜User｜>' + content }}
+        {%- else %}
+            {{- '<｜User｜>' + content + '<｜Assistant｜>'}}
+        {%- endif %}
+    {%- endif %}
+    {%- if message['role'] == 'assistant' %}
+        {%- if '</think>' in content %}
+            {%- set content = (content.split('</think>')|last) %}
+        {%- endif %}
+    {%- endif %}
+    {%- if message['role'] == 'assistant' and message['tool_calls'] is defined and message['tool_calls'] is not none %}
+        {%- set ns.is_last_user = false -%}
+        {%- if ns.is_tool %}
+            {{- '<｜tool▁outputs▁end｜>'}}
+        {%- endif %}
+        {%- set ns.is_first = false %}
+        {%- set ns.is_tool = false -%}
+        {%- set ns.is_output_first = true %}
+        {%- for tool in message['tool_calls'] %}
+            {%- set arguments = tool['function']['arguments'] %}
+            {%- if arguments is not string %}
+                {%- set arguments = arguments|tojson %}
+            {%- endif %}
+            {%- if not ns.is_first %}
+                {%- if content is none %}
+                    {{- '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<｜tool▁call▁end｜>'}}
+                }
+                {%- else %}
+                    {{- content + '<｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<｜tool▁call▁end｜>'}}
+                {%- endif %}
+                {%- set ns.is_first = true -%}
+            {%- else %}
+                {{- '\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + arguments + '\n' + '```' + '<｜tool▁call▁end｜>'}}
+            {%- endif %}
+        {%- endfor %}
+        {{- '<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}
+    {%- endif %}
+    {%- if message['role'] == 'assistant' and (message['tool_calls'] is not defined or message['tool_calls'] is none) %}
+        {%- set ns.is_last_user = false -%}
+        {%- if ns.is_tool %}
+            {{- '<｜tool▁outputs▁end｜>' + content + '<｜end▁of▁sentence｜>'}}
+            {%- set ns.is_tool = false -%}
+        {%- else %}
+            {{- content + '<｜end▁of▁sentence｜>'}}
+        {%- endif %}
+    {%- endif %}
+    {%- if message['role'] == 'tool' %}
+        {%- set ns.is_last_user = false -%}
+        {%- set ns.is_tool = true -%}
+        {%- if ns.is_output_first %}
+            {{- '<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + content + '<｜tool▁output▁end｜>'}}
+            {%- set ns.is_output_first = false %}
+        {%- else %}
+            {{- '\n<｜tool▁output▁begin｜>' + content + '<｜tool▁output▁end｜>'}}
+        {%- endif %}
+    {%- endif %}
+{%- endfor -%}
+{%- if ns.is_tool %}
+    {{- '<｜tool▁outputs▁end｜>'}}
+{%- endif %}
+{#- if add_generation_prompt and not ns.is_last_user and not ns.is_tool #}
+{%- if add_generation_prompt and not ns.is_tool %}
+    {{- '<｜Assistant｜>'}}
+{%- endif %}

config.json

@@ -0,0 +1,76 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 131072,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151654,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
+    "attn_factor": 0.8782488562869419,
+    "factor": 4.0,
+    "original_max_position_embeddings": 32768,
+    "rope_type": "yarn"
+  },
+  "rope_theta": 1000000,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.3",
+  "unsloth_fixed": true,
+  "unsloth_version": "2026.1.2",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "max_length": 131072,
+  "pad_token_id": 151654,
+  "transformers_version": "4.57.3"
+}

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