What are the hardware requirements for Lucid V1 Nemo?

Lucid V1 Nemo 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 Lucid V1 Nemo and how large is it?

Lucid V1 Nemo is developed by dreamgen, 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 Lucid V1 Nemo?

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

Lucid V1 Nemo by dreamgen — VRAM 24.5GB, 128K context

Name: Lucid V1 Nemo
Rating: 4 (8 reviews)
Author: dreamgen

Lucid V1 Nemo is an open-source language model by dreamgen. Features: 12.2b LLM, VRAM: 24.5GB, Context: 128K, License: other, LLM Explorer Score: 0.18.

Axolotl Base model:finetune:mistralai/... Base model:mistralai/mistral-n... En Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow Torchtune Unsloth

Model Card on HF 🤗: https://huggingface.co/dreamgen/lucid-v1-nemo

Lucid V1 Nemo Parameters and Internals

LLM Name	Lucid V1 Nemo
Repository 🤗	https://huggingface.co/dreamgen/lucid-v1-nemo
Base Model(s)	Mistral Nemo Base 2407 mistralai/Mistral-Nemo-Base-2407
Model Size	12.2b
Required VRAM	24.5 GB
Updated	2026-08-02
Maintainer	dreamgen
Model Type	mistral
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
Model Architecture	MistralForCausalLM
License	other
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131077
Torch Data Type	bfloat16

Rank the Lucid V1 Nemo 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 Lucid V1 Nemo

Best Alternatives	Context / RAM	Downloads	Likes
...aptain Eris Violet GRPO V0.420	1000K / 24.5 GB	23	24
...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
Tess Embed Fix Maybe	1000K / 24.5 GB	13	0
Funny Nemo Embedding Testing	1000K / 24.5 GB	5	1
12BTRU	1000K / 24.5 GB	21	0
Another Strange Nemo Model	1000K / 24.5 GB	6	0
A Strange Nemo Model	1000K / 24.5 GB	5	0

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