Model Card — DeepHunted-V4

Model Name: DeepHunted-V4

Base Model: DeepSeek-V4 (fine-tuned)

Training Method: Base -> Supervised Fine-Tuning (SFT) -> GRPO-RL alignment

Domain: Code generation EXCLUSIVELY for Galculator (Calculator/Galculator Interpreter v0.0.1.5)

What's in: Base models and IT models


Overview

DeepHunted-V4 is optimized for generating, completing, and reasoning about code in the custom Galculator language. It emphasizes correctness of expressions, function composition, and environment-aware execution.


Capabilities

  • Generate valid Galculator programs (single & multi-line)
  • Understand statements vs compound/top-level semantics
  • Write/optimize functions (incl. nested, overloads, aliases)
  • Handle control expressions (if, while, for, case)
  • Manage environments (env, use, :: access)
  • Apply builtins and logical helpers
  • Follow REPL conventions and syntax constraints

Training Data

  • Synthetic + curated code datasets in Galculator
  • Instruction-response pairs for program synthesis, debugging, and explanation
  • RL phase (GRPO) optimized for correctness, syntax validity, and execution fidelity

Limitations

  • Narrow specialization: performance outside Galculator may degrade
  • Sensitive to strict syntax (e.g., let, env, commas in control expressions)
  • Limited robustness to ambiguous or underspecified prompts
  • May produce invalid code if constraints are violated implicitly

Intended Use

  • Code generation for Galculator interpreter
  • Educational tooling for expression-based languages
  • Program synthesis, transformation, and debugging

Out-of-Scope

  • General-purpose coding across many languages
  • Safety-critical or production-grade execution without validation

Example

let x = 1;
def add(a,b) = a + b;
print(add(x,2));

Evaluation

  • Syntax validity rate
  • Execution correctness (unit tests)
  • RL reward (GRPO objective)
  • Pass@k on code generation tasks

Safety

  • No built-in sandboxing; execution depends on external interpreter
  • Users should validate generated code before running

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