What are the hardware requirements for NM 12B Lyris Dev 3?

NM 12B Lyris Dev 3 requires approximately 24.4 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 NM 12B Lyris Dev 3 and how large is it?

NM 12B Lyris Dev 3 is developed by v000000, 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 NM 12B Lyris Dev 3?

NM 12B Lyris Dev 3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

NM 12B Lyris Dev 3 by v000000 — VRAM 24.4GB, 1000K context

Name: NM 12B Lyris Dev 3
Author: v000000

NM 12B Lyris Dev 3 is an open-source language model by v000000. Features: 12b LLM, VRAM: 24.4GB, Context: 1000K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.14.

Base model:merge:sao10k/mn-12b... Base model:merge:sao10k/mn-12b... Base model:merge:unsloth/mistr... Base model:sao10k/mn-12b-lyra-... Base model:sao10k/mn-12b-lyra-... Base model:unsloth/mistral-nem... Endpoints compatible Instruct Merge Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/v000000/NM-12B-Lyris-dev-3

NM 12B Lyris Dev 3 Parameters and Internals

Additional Notes

EXPERIMENTAL attempt to fix Sao10k's Lyra-V3 prompt format and stop token and boost smarts.

Training Details

Methodology:

Strategic LATCOS vector similarity merging prototype, unfinished, dev3

Input Output

Input Format:

Mistral Instruct

LLM Name	NM 12B Lyris Dev 3
Repository 🤗	https://huggingface.co/v000000/NM-12B-Lyris-dev-3
Base Model(s)	MN 12B Lyra V1 MN 12B Lyra V3 Mistral Nemo Instruct 2407 Sao10K/MN-12B-Lyra-v1 Sao10K/MN-12B-Lyra-v3 unsloth/Mistral-Nemo-Instruct-2407
Model Size	12b
Required VRAM	24.4 GB
Updated	2026-08-06
Maintainer	v000000
Model Type	mistral
Instruction-Based	Yes
Model Files	2.0 GB: 1-of-13 1.9 GB: 2-of-13 1.9 GB: 3-of-13 1.9 GB: 4-of-13 1.9 GB: 5-of-13 1.9 GB: 6-of-13 1.9 GB: 7-of-13 1.9 GB: 8-of-13 1.9 GB: 9-of-13 1.9 GB: 10-of-13 1.9 GB: 11-of-13 1.9 GB: 12-of-13 1.5 GB: 13-of-13
Model Architecture	MistralForCausalLM
License	cc-by-nc-4.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	float16

Rank the NM 12B Lyris Dev 3 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 NM 12B Lyris Dev 3

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
Qliphoth 12B V1.1	1000K / 24.5 GB	22	3
Qliphoth 12B V1	1000K / 24.5 GB	26	2
SauerkrautLM Nemo 12B Instruct	1000K / 24.5 GB	1473	22
Magnum V4 12B	1000K / 24.5 GB	1116	54
MN Slush	1000K / 24.5 GB	181	32
...g M Claude Opus High Reasoning	1000K / 24.5 GB	82	3
ChatWaifu V1.4	1000K / 24.5 GB	335	20
ChatWaifu 12B V2.0	1000K / 24.5 GB	175	22
Mistral Nemo Bophades 12B	1000K / 24.5 GB	18	9

Note: green Score (e.g. "73.2") means that the model is better than v000000/NM-12B-Lyris-dev-3.