What are the hardware requirements for Geneva 12B GCv2 5M?

Geneva 12B GCv2 5M requires approximately 24.5 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Geneva 12B GCv2 5M and how large is it?

Geneva 12B GCv2 5M is developed by rubenroy, 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 Geneva 12B GCv2 5M?

Geneva 12B GCv2 5M is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Geneva 12B GCv2 5M by rubenroy — VRAM 24.5GB, 1000K context

Name: Geneva 12B GCv2 5M
Author: rubenroy

Geneva 12B GCv2 5M is an open-source language model by rubenroy. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.21.

4bit Base model:finetune:mistralai/... Base model:mistralai/mistral-n... Chat Conversational Dataset:rubenroy/gammacorpus-v... De En Endpoints compatible Es Fr Gammacorpus Geneva Instruct It Ja Mistral Pt Quantized Region:us Ru Safetensors Sharded Tensorflow Trl Unsloth Zh

Model Card on HF 🤗: https://huggingface.co/rubenroy/Geneva-12B-GCv2-5m

Geneva 12B GCv2 5M Parameters and Internals

LLM Name	Geneva 12B GCv2 5M
Repository 🤗	https://huggingface.co/rubenroy/Geneva-12B-GCv2-5m
Base Model(s)	Mistral Nemo Instruct 2407 mistralai/Mistral-Nemo-Instruct-2407
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-08-05
Maintainer	rubenroy
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-5 4.9 GB: 2-of-5 4.9 GB: 3-of-5 4.9 GB: 4-of-5 4.9 GB: 5-of-5
Supported Languages	en fr de es it pt ru zh ja
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.47.1
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Geneva 12B GCv2 5M 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

Best Alternatives to Geneva 12B GCv2 5M

Best Alternatives	Context / RAM	Downloads	Likes
ReWiz Nemo 12B Instruct	1000K / 24.5 GB	6	2
...o Instruct 12B Philosophy Math	1000K / 24.5 GB	17	1
...omix Unleashed 12B V0.6.1 8bit	1000K / 12.9 GB	4	2
Ava 1.0 12B	1000K / 24.5 GB	34	4
Poemma 12B	1000K / 24.5 GB	16	2
...t RP Noodles 12B V1.4 EXL2 8.0	1000K / 12.5 GB	34	2
Lumimaid Magnum 12B EXL2 8.0	1000K / 12.6 GB	27	4
DeepOpus 1 12B Preview	128K / 24.5 GB	18	0
DeepNeo 1 12B Preview	128K / 24.5 GB	15	0
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141

Note: green Score (e.g. "73.2") means that the model is better than rubenroy/Geneva-12B-GCv2-5m.