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portkit-coder-8b-grpo8
alexchapin/portkit-coder-8b-grpo8
portkit-coder-8b-grpo8 is a text generation model from alexchapin. Use it when you need the model to write or continue text. It is set up for transformers.
Anti-hallucination focused GRPO fine-tuned model for Minecraft Java (Forge) to Bedrock Add-on conversion.
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16.4 GB on disk
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen3
- Access
- Public
- Created
- May 19, 2026
- Updated
- May 20, 2026
- SHA
- 512d5648
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Base models
Datasets
Model card
From the Hugging Face model README
alexchapin/portkit-coder-8b-grpo8
Anti-hallucination focused GRPO fine-tuned model for Minecraft Java (Forge) to Bedrock Add-on conversion.
Model Details
- Base model: Qwen/Qwen3-8B
- Training method: GRPO with anti-hallucination focus
- Checkpoint: GRPO8 final (50 steps, group_size=16-20)
- Learning rate: 5e-7
Reward Components
| Component | Weight | Description |
|---|---|---|
| manifest | 0.10 | UUID v4, version array, module type validation |
| real_api | 0.25 | Event subscription + API chain depth |
| anti_hallucination | 0.25 | Hallucination penalties (shifted to 0.5-1.0) |
| concise | 0.15 | Output length optimization |
| code_bleu | 0.25 | Token overlap in code blocks |
Anti-Hallucination Fixes
- Issue #1582: Hardened hallucination detection with comprehensive fake API patterns
- Issue #1583: Real API fixes (event subscription, API chain depth)
- Issue #1584: GRPO Stabilization (group_size 16, lr 5e-7, clipped surrogate)
- Issue #1586: Manifest fixes (UUID v4, version array, module type)
Hard Hallucination Patterns (NEVER valid in Bedrock)
- ServerPlayerAPI, ServerPlayer, PlayerAPI
- WorldEvent, BlockEntityAPI, EntityPlayerAPI, WorldAPI
- require('@minecraft/server')
- registerMod(), getServer(), Server.getInstance()
- event.level, server.getWorld
Real Bedrock APIs (ALWAYS valid)
- world.afterEvents, world.beforeEvents
- system.runInterval, system.runTimeout
- player.sendMessage, player.getComponent
- { world, system, player } imports from @minecraft/server
Usage
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("alexchapin/portkit-coder-8b-grpo8")
Framework Versions
- tinker-cookbook: 0.4.1
- transformers: 5.5.3
- torch: 2.11.0+rocm7.2
- Task
- Text Generation
- Library
- transformers
- Type
- qwen3
- Languages
- en
- Created
- May 19, 2026
- Updated
- May 20, 2026