What are the hardware requirements for Kitsune Symphony V0.0 12B?

Kitsune Symphony V0.0 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 Kitsune Symphony V0.0 12B and how large is it?

Kitsune Symphony V0.0 12B is developed by MrRikyz, 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 Kitsune Symphony V0.0 12B?

Kitsune Symphony V0.0 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Kitsune Symphony V0.0 12B by MrRikyz — VRAM 24.5GB, 1000K context

Name: Kitsune Symphony V0.0 12B
Author: MrRikyz

Kitsune Symphony V0.0 12B is an open-source language model by MrRikyz. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: apache-2.0, Merged, LLM Explorer Score: 0.2.

Merged Model Arxiv:2406.11617 Autotrain compatible Base model:entropicengine/pine... Base model:inflatebot/mn-12b-m... Base model:intervitensinc/mist... Base model:retreatcost/kansens... Base model:spow12/chatwaifu 12... Conversational Endpoints compatible Mistral Nsfw Region:us Roleplay Rp Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/MrRikyz/Kitsune-Symphony-V0.0-12B

Kitsune Symphony V0.0 12B Parameters and Internals

LLM Name	Kitsune Symphony V0.0 12B
Repository 🤗	https://huggingface.co/MrRikyz/Kitsune-Symphony-V0.0-12B
Base Model(s)	spow12/ChatWaifu_12B_v2.0 Mistral Nemo Base 2407 Chatml MN 12B Mag Mell R1 KansenSakura Zero RP 12B Pinecone Rune 12B spow12/ChatWaifu_12B_v2.0 IntervitensInc/Mistral-Nemo-Base-2407-chatml inflatebot/MN-12B-Mag-Mell-R1 Retreatcost/KansenSakura-Zero-RP-12b Entropicengine/Pinecone-Rune-12b
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2025-09-23
Maintainer	MrRikyz
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
License	apache-2.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.55.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Kitsune Symphony V0.0 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 Kitsune Symphony V0.0 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
Shining Gold Sakura 12B	1000K / 24.5 GB	52	2
Captain Eris BMO Violent 12B	1000K / 24.5 GB	305	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 MrRikyz/Kitsune-Symphony-V0.0-12B.