What are the hardware requirements for Ft V1 Nemo Base?

Ft V1 Nemo Base requires approximately 24.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Ft V1 Nemo Base and how large is it?

Ft V1 Nemo Base is developed by alexxi19, a model with 12.2b 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 Ft V1 Nemo Base?

Ft V1 Nemo Base is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ft V1 Nemo Base by alexxi19 — VRAM 24.5GB, 128K context

Name: Ft V1 Nemo Base
Author: alexxi19

Ft V1 Nemo Base is an open-source language model by alexxi19. Features: 12.2b LLM, VRAM: 24.5GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.16.

Instruct Mistral Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/alexxi19/ft-v1-nemo-base

Ft V1 Nemo Base Parameters and Internals

LLM Name	Ft V1 Nemo Base
Repository 🤗	https://huggingface.co/alexxi19/ft-v1-nemo-base
Model Size	12.2b
Required VRAM	24.5 GB
Updated	2026-07-31
Maintainer	alexxi19
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 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
Model Architecture	MistralForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.48.3
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Ft V1 Nemo Base 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 Ft V1 Nemo Base

Best Alternatives	Context / RAM	Downloads	Likes
...istral Nemo Instruct 2407 MPOA	1000K / 24.5 GB	37	3
...ish Mistral Nemo Instruct 2407	1000K / 24.5 GB	77	2
Mistral Nemo Kurdish	1000K / 24.5 GB	37	3
Violet Twilight V0.2	1000K / 24.5 GB	66	49
Kalypso	1000K / 24.5 GB	45	24
Crimson Dawn V0.2	1000K / 24.5 GB	17	13
Azure Dusk V0.2	1000K / 24.5 GB	43	10
...al Nemo Japanese Instruct 2408	1000K / 24.5 GB	2358	49
Mistral Nemo Instruct 2407 FP8	1000K / 13.6 GB	4691	19
Educa Ai Nemo Sft	1000K / 49.3 GB	13	4

Note: green Score (e.g. "73.2") means that the model is better than alexxi19/ft-v1-nemo-base.