What are the hardware requirements for Mergekit Model Stock Gcraeln?

Mergekit Model Stock Gcraeln requires approximately 45.7 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 Model Stock Gcraeln and how large is it?

Mergekit Model Stock Gcraeln is developed by mergekit-community, a model with 23b 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 Model Stock Gcraeln?

Mergekit Model Stock Gcraeln is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mergekit Model Stock Gcraeln by mergekit-community — VRAM 45.7GB, 1000K context

Name: Mergekit Model Stock Gcraeln
Author: mergekit-community

Mergekit Model Stock Gcraeln is an open-source language model by mergekit-community. Features: 23b LLM, VRAM: 45.7GB, Context: 1000K, Merged, LLM Explorer Score: 0.17.

Merged Model Arxiv:2403.19522 Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mergekit-community/mergekit-model_stock-gcraeln

Mergekit Model Stock Gcraeln Parameters and Internals

LLM Name	Mergekit Model Stock Gcraeln
Repository 🤗	https://huggingface.co/mergekit-community/mergekit-model_stock-gcraeln
Base Model(s)	Mergekit Ties Asjuuws ...ND Gutenberg Lyra4 Lyra 23B V2 Mergekit Passthrough Romewyb mergekit-community/mergekit-ties-asjuuws DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-23B-V2 mergekit-community/mergekit-passthrough-romewyb
Merged Model	Yes
Model Size	23b
Required VRAM	45.7 GB
Updated	2026-04-30
Maintainer	mergekit-community
Model Type	mistral
Model Files	4.9 GB: 1-of-10 4.9 GB: 2-of-10 4.9 GB: 3-of-10 4.9 GB: 4-of-10 4.9 GB: 5-of-10 4.9 GB: 6-of-10 4.9 GB: 7-of-10 4.9 GB: 8-of-10 4.9 GB: 9-of-10 1.6 GB: 10-of-10
Model Architecture	MistralForCausalLM
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mergekit Model Stock Gcraeln 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 Mergekit Model Stock Gcraeln

Best Alternatives	Context / RAM	Downloads	Likes
...ppelKartoffel Mistral Nemo 23B	1000K / 46.3 GB	10	0
Mergekit Ties Asjuuws	1000K / 45.7 GB	6	0
...ND Gutenberg Lyra4 Lyra 23B V2	1000K / 44.4 GB	5	1

Note: green Score (e.g. "73.2") means that the model is better than mergekit-community/mergekit-model_stock-gcraeln.