Gemma 4 31B it Claude Fable 5 Distilled The following model was trained on claude code traces, with some chat data provided by the community. I recommend using the model with claude code or pi, though other harnesses should work without issues. The data for this model was easily extracted, formatted, and masked for training with Teich 📋 Stage Details & Benchmarks Reasoning was left un touched Benchmarks coming soon Deep Dive Analysis: For more comprehensive insights regarding the base capabilities of the Gemma 4 architecture, please refer to this Analysis Document. 🌟 Core Skills & Capabilities Thanks to its robust base model and high effort reasoning distillation, this model is highly optimized for the following use cases: 1. 💻 Coding: Advanced code generation, debugging, and software architecture planning. 2. 🔬 Science: Deep scientific reasoning, hypothesis evaluation, and analytical problem solving. 3. 🔎 Deep Research: Navigating complex, multi step research queries and synthesizing vast amounts of information. 4. 🧠 General Purpose: Highly capable instruction following for everyday tasks requiring high logical coherence. Getting Started You can use all Gemma 4 models with t…
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