What are the hardware requirements for Mergekit Dare Ties Blllpjo?

Mergekit Dare Ties Blllpjo 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 Mergekit Dare Ties Blllpjo and how large is it?

Mergekit Dare Ties Blllpjo is developed by mergekit-community, 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 Mergekit Dare Ties Blllpjo?

Mergekit Dare Ties Blllpjo is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mergekit Dare Ties Blllpjo by mergekit-community — VRAM 24.5GB, 1000K context

Name: Mergekit Dare Ties Blllpjo
Author: mergekit-community

Mergekit Dare Ties Blllpjo is an open-source language model by mergekit-community. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2311.03099 Autotrain compatible Base model:dreadpoor/irix-12b-... Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-dare_ties-blllpjo

Mergekit Dare Ties Blllpjo Parameters and Internals

LLM Name	Mergekit Dare Ties Blllpjo
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-dare_ties-blllpjo
Base Model(s)	Mergekit Dare Ties Afgxxsc Mergekit Dare Ties Twfgema Irix 12B Model Stock mergekit-community/mergekit-dare_ties-afgxxsc mergekit-community/mergekit-dare_ties-twfgema DreadPoor/Irix-12B-Model_Stock
Merged Model	Yes
Model Size	12b
Required VRAM	24.5 GB
Updated	2025-10-02
Maintainer	mergekit-community
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	4.51.1
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131080
Torch Data Type	bfloat16

Rank the Mergekit Dare Ties Blllpjo capabilities

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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

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...r Nemo 12B Instruct R 21 09 24	1000K / 24.5 GB	396277	141
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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 mergekit-community/mergekit-dare_ties-blllpjo.