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license: apache-2.0
base_model: Qwen/Qwen3-1.7B
tags:
- vibescript
- code-compression
- lora
- gguf
- qwen3
language:
- en
pipeline_tag: text-generation
---
# VibeScript - Code to DSL Converter
**vibecoder-discern** converts natural language and code into VibeScript - a compact symbolic DSL for expressing programming concepts.
## What is VibeScript?
VibeScript compresses verbose code into symbolic notation:
| Code | VibeScript |
|------|------------|
| `function add(a, b) { return a + b; }` | `Ω> add!(a, b)` |
| `const users = await db.query(...)` | `δ.m.p.query()` |
| `app.get('/api/users', ...)` | `θ.m.route(θ.e, ζ.x)` |
| `if (error) { throw new Error(...) }` | `~system~γ#error!` |
## Model Variants
| Path | Format | Size | Use Case |
|------|--------|------|----------|
| `/lora-adapter/` | LoRA | ~13MB | Merge with your own Qwen3-1.7B |
| `/merged-model/` | HuggingFace | ~3.4GB | Ready-to-use transformers |
| `/gguf/` | GGUF Q4_K_M | ~1.1GB | llama.cpp / Ollama |
## Quick Start
### llama.cpp (GGUF)
```bash
# Download
wget https://huggingface.co/calebboud/vibescript/resolve/main/gguf/vibecoder-discern-1.7B-Q4_K_M.gguf
# Run
llama-cli -m vibecoder-discern-1.7B-Q4_K_M.gguf \
-p "Convert this to vibescript: function multiply(x, y) { return x * y; }" \
-n 100 --temp 0.7
```
### Transformers (Merged Model)
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("calebboud/vibescript", subfolder="merged-model")
tokenizer = AutoTokenizer.from_pretrained("calebboud/vibescript", subfolder="merged-model")
prompt = "Convert this to vibescript: console.log('Hello World')"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```
### LoRA Adapter (Merge Yourself)
```python
from peft import PeftModel
from transformers import AutoModelForCausalLM
base = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B")
model = PeftModel.from_pretrained(base, "calebboud/vibescript", subfolder="lora-adapter")
merged = model.merge_and_unload()
```
## Training Details
- **Base Model:** Qwen/Qwen3-1.7B
- **Method:** LoRA (r=8, alpha=16)
- **Target Modules:** q_proj, k_proj, v_proj, o_proj
- **Dataset:** 885 code → vibescript examples
- **Task:** CAUSAL_LM
## VibeScript Symbols
| Symbol | Meaning |
|--------|---------|
| `Ω>` | Function definition |
| `Σ` | Route/scaffold |
| `δ` | Database operations |
| `θ` | HTTP/API |
| `γ` | Error handling |
| `ζ` | Structure/scaffold |
| `α` | Analysis |
| `ε` | Dependencies |
## Coming Soon
- **vibecoder-expand**: VibeScript → Code (reverse direction)
## License
Apache 2.0
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