mtron-qwen is a family of Qwen models fine-tuned with QLoRA on the mtron functional programming language of the metatron vm. Each variant can evaluate mtron expressions, explain language concepts, and translate between mtron sugar operators and their desugared instruction forms.
Variants
Variant
Base Model
Params
Size
Files
mtron-qwen-4b
Qwen3-4B
4B
2.5 GB
mtron-qwen-4b.Q4_K_M.gguf
mtron-qwen-8b
Qwen3-8B
8B
5.0 GB
mtron-qwen-8b.Q4_K_M.gguf
mtron-qwen-14b
Qwen3-14B
14B
8.4 GB
mtron-qwen-14b.Q4_K_M.gguf
Training
All variants share the same training methodology:
Parameter
Value
Method
QLoRA (bitsandbytes 4-bit NF4)
LoRA rank (r)
32
LoRA alpha
8
Optimizer
AdamW 8-bit
Scheduler
Cosine with warmup
Dataset
mtron expression evaluation pairs with operator documentation (2,660 entries)
1ollama create mtron-qwen-14b -f Modelfile
2ollama run mtron-qwen-14b
Prompt Format (ChatML)
<|im_start|>system
You are an expert in the mtron functional programming language.
Evaluate the given mtron expression and return the result.<|im_end|>
<|im_start|>user
/m/str/"hello" /m/str/plus(" world")<|im_end|>
<|im_start|>assistant
"hello world"<|im_end|>
mtron Language
mtron is a data-oriented functional language for the Metatron VM. Expressions follow a structural navigation pattern using URI-addressed spaces and instruction-based evaluation.
