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Gemma-4-12B

3 articles · Page 1 of 1
Old Zhang's AI Learning
Old Zhang's AI Learning
Jun 19, 2026 · Artificial Intelligence

Gemma‑4‑12B‑v2 (Fable 5 Clone) Achieves 3.5× Telecom Benchmark Boost

The author reproduces Anthropic’s Fable 5 using Gemma‑4‑12B‑v2, showing a 3.5× improvement on the telecom tau2‑bench versus the base model, details the agentic, coding, and general training data, compares quantization sizes, provides llama.cpp launch commands, and notes speed gains from speculative MTP decoding and current limitations.

Fable 5Gemma-4-12BQuantization
0 likes · 9 min read
Gemma‑4‑12B‑v2 (Fable 5 Clone) Achieves 3.5× Telecom Benchmark Boost
Old Zhang's AI Learning
Old Zhang's AI Learning
Jun 15, 2026 · Artificial Intelligence

Reproducing Claude Fable 5 with Opus 4.8 and a Prompt: 90% Performance on Consumer GPUs

The article analyzes Claude Fable 5’s capabilities, dissects Anthropic’s official prompt guide, compares leaked system prompts, and demonstrates how to achieve roughly 90% of Fable 5’s performance on a consumer‑grade GPU using Opus 4.8 plus a custom prompt, while also presenting a local Gemma 4 12B coder alternative.

Claude Fable 5Gemma-4-12BOpus 4.8
0 likes · 14 min read
Reproducing Claude Fable 5 with Opus 4.8 and a Prompt: 90% Performance on Consumer GPUs
SuanNi
SuanNi
Jun 5, 2026 · Artificial Intelligence

How Google’s Gemma 4 12B Packs Multimodal Power into a Laptop‑Friendly Model

Google’s Gemma 4 12B delivers near‑26B performance with half the memory, runs on a 16 GB laptop GPU, and uses a novel encoder‑free unified architecture that natively handles vision, audio, and text, making high‑quality multimodal AI truly local.

Gemma-4-12BOpen-source modelaudio-visual integration
0 likes · 6 min read
How Google’s Gemma 4 12B Packs Multimodal Power into a Laptop‑Friendly Model