What are the hardware requirements for Gemma 4 12B Coder Fable5 Composer2.5 V1?

Gemma 4 12B Coder Fable5 Composer2.5 V1 requires approximately 23.9 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 4 12B Coder Fable5 Composer2.5 V1 and how large is it?

Gemma 4 12B Coder Fable5 Composer2.5 V1 is developed by yuxinlu1, a model with 12b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 4 12B Coder Fable5 Composer2.5 V1?

Gemma 4 12B Coder Fable5 Composer2.5 V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 4 12B Coder Fable5 Composer2.5 V1 by yuxinlu1 — VRAM 23.9GB

Name: Gemma 4 12B Coder Fable5 Composer2.5 V1
Author: yuxinlu1

Gemma 4 12B Coder Fable5 Composer2.5 V1 is an open-source language model by yuxinlu1. Features: 12b LLM, VRAM: 23.9GB, License: apache-2.0, Code Generating, LLM Explorer Score: 0.32.

Base model:finetune:google/gem... Base model:google/gemma-4-12b-... Code Codegen Coding Conversational Endpoints compatible Gemma4 Gemma4 unified Image-text-to-text Reasoning Region:us Safetensors Thinking

Model Card on HF 🤗: https://huggingface.co/yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1

Gemma 4 12B Coder Fable5 Composer2.5 V1 Parameters and Internals

LLM Name	Gemma 4 12B Coder Fable5 Composer2.5 V1
Repository 🤗	https://huggingface.co/yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1
Base Model(s)	Gemma 4 12B It google/gemma-4-12B-it
Model Size	12b
Required VRAM	23.9 GB
Updated	2026-08-10
Maintainer	yuxinlu1
Model Type	gemma4_unified
Model Files	23.9 GB
Generates Code	Yes
Model Architecture	Gemma4UnifiedForConditionalGeneration
License	apache-2.0
Transformers Version	5.10.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>

Rank the Gemma 4 12B Coder Fable5 Composer2.5 V1 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Quantized Models of the Gemma 4 12B Coder Fable5 Composer2.5 V1

Model	Likes	Downloads	VRAM
... Coder Fable5 Composer2.5 4bit	38	8111	6 GB
... Coder Fable5 Composer2.5 8bit	35	8917	12 GB
...ble5 Composer2.5 V1 OptiQ 4bit	5	2920	8 GB
...ser2.5 V1 Abliterated 4bit Msq	4	201	7 GB

Best Alternatives to Gemma 4 12B Coder Fable5 Composer2.5 V1

Best Alternatives	Context / RAM	Downloads	Likes
...le5 Composer2.5 V1 Abliterated	0K / 24 GB	30003	1
...4 12B Coder Fable5 Composer2.5	0K / 23.8 GB	789	3
...r Fable5 Composer2.5 V1 Sft V5	0K / 23.9 GB	30	0
...le5 Composer2.5 V1 Sft V5 Grpo	0K / 23.9 GB	24	0
...r Fable5 Composer2.5 V1 Sft V4	0K / 23.9 GB	6	0
... Coder Fable5 Composer2.5 4bit	0K / 6.7 GB	8111	38
... Coder Fable5 Composer2.5 8bit	0K / 12.6 GB	8917	35
...ble5 Composer2.5 V1 OptiQ 4bit	0K / 8.8 GB	2920	5
...Fable5 Composer2.5 V1 4bit Msq	0K / 7.5 GB	226	6
...ser2.5 V1 Abliterated 4bit Msq	0K / 7.5 GB	201	4

Note: green Score (e.g. "73.2") means that the model is better than yuxinlu1/gemma-4-12B-coder-fable5-composer2.5-v1.