portkit-coder-8b-grpo8 – AI Model by alexchapin | AlphaNeural AI

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alexchapin/
portkit-coder-8b-grpo8

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text-generation

tinker-cookbook

bedrock-edition

minecraft-addon

anti-hallucination

alexchapin/portkit-mmsd

text-generation-inference

endpoints_compatible

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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

python

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