gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2
googleapache-2.0textvision

gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2

Updated Aug 10, 2026
Parameters
12B
Context
262,144
License
apache-2.0
Updated
Aug 10, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at Q8_0
3 of 4 quantizations fit gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 with real runtime overhead.
Q4_K_M
7 GB
Q5_K_M
9 GB
Q8_0
13 GB
FP16
24 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve yuxinlu1/gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2

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Deep dive

Notes, sources, and the full write-up

gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 is a 12B-parameter apache-2.0 model from yuxinlu1. At Q4_K_M it needs roughly 7 GB of VRAM, placing it in the 8–12 GB GPU hardware tier.

Popularity

gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 has 250,644 downloads in the last month on HuggingFace and 83 likes.

Frequently asked

Quick answers to common questions

How much VRAM does gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 need?

gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 with 12B parameters needs approximately 7 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 better than other google models?

gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 has 12B parameters with 262,144 context - a strong choice for general use.

What license is gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 under?

gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 is released under the apache-2.0 license, making it suitable for most commercial and personal projects.

What hardware runs gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 well?

With 12B parameters, gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~9 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

How long can gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2's context window handle?

gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 supports a 262,144-token context window - enough for very long documents, codebases, or multi-turn conversations. Real-world usable context may vary by implementation.

What models compete with gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2?

gemma-4-12B-agentic-fable5-composer2.5-v2-3.5x-tau2 competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec

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