What are the hardware requirements for MN Lyrebird 12B?

MN Lyrebird 12B 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 MN Lyrebird 12B and how large is it?

MN Lyrebird 12B is developed by allura-org, 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 MN Lyrebird 12B?

MN Lyrebird 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MN Lyrebird 12B by allura-org — VRAM 24.5GB, 1000K context

Name: MN Lyrebird 12B
Author: allura-org

MN Lyrebird 12B is an open-source language model by allura-org. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.19.

Merged Model Arxiv:2203.05482 Base model:inflatebot/mn-12b-m... Base model:migtissera/tess-3-m... Base model:toastypigeon/nemo-b... Base model:toastypigeon/nemo-k... Conversational Dataset:toastypigeon/kimi-stor... Endpoints compatible Lora Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allura-org/MN-Lyrebird-12B

MN Lyrebird 12B Parameters and Internals

LLM Name	MN Lyrebird 12B
Repository 🤗	https://huggingface.co/allura-org/MN-Lyrebird-12B
Base Model(s)	MN 12B Mag Mell R1 Nemo Kimi Lora Tess 3 Mistral Nemo 12B Nemo Books Lora inflatebot/MN-12B-Mag-Mell-R1 ToastyPigeon/nemo-kimi-lora migtissera/Tess-3-Mistral-Nemo-12B ToastyPigeon/nemo-books-lora
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2026-07-27
Maintainer	allura-org
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
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.54.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the MN Lyrebird 12B 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 MN Lyrebird 12B

Best Alternatives	Context / RAM	Downloads	Likes
...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
MN 12B Mag Mell R1	1000K / 24.5 GB	69558	238
Riverfish Rocinante 12B SFT	1000K / 49.4 GB	166	1
Riverfish Rocinante 12B	1000K / 49.4 GB	111	1
MN 12B LucidFaun RP RU	1000K / 24.5 GB	1005	6
Qliphoth 12B V1.2	1000K / 24.5 GB	107	7
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	2
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
Dans SakuraKaze V1.0.0 12B	1000K / 24.5 GB	7	21
...n Eris BMO Violent GRPO V0.420	1000K / 24.5 GB	92	3

Note: green Score (e.g. "73.2") means that the model is better than allura-org/MN-Lyrebird-12B.