What are the hardware requirements for Core 24B V.1?

Core 24B V.1 requires approximately 47.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Core 24B V.1 and how large is it?

Core 24B V.1 is developed by OddTheGreat, a model with 24b 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 Core 24B V.1?

Core 24B V.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Core 24B V.1 by OddTheGreat — VRAM 47.3GB, 32K context

Name: Core 24B V.1
Author: OddTheGreat

Core 24B V.1 is an open-source language model by OddTheGreat. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

Merged Model Base model:gryphe/pantheon-rp-... Base model:mrfakename/mistral-... Base model:oddthegreat/apparat... Conversational Creative En Endpoints compatible Instruct Mistral Region:us Roleplay Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OddTheGreat/Core_24B_V.1

Core 24B V.1 Parameters and Internals

LLM Name	Core 24B V.1
Repository 🤗	https://huggingface.co/OddTheGreat/Core_24B_V.1
Base Model(s)	Gryphe/Pantheon-RP-1.8-24b-Small-3.1 mrfakename/mistral-small-3.1-24b-instruct-2503-hf Apparatus 24B Gryphe/Pantheon-RP-1.8-24b-Small-3.1 mrfakename/mistral-small-3.1-24b-instruct-2503-hf OddTheGreat/Apparatus_24B
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-07-09
Maintainer	OddTheGreat
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.9 GB: 4-of-10 4.8 GB: 5-of-10 4.8 GB: 6-of-10 4.9 GB: 7-of-10 4.8 GB: 8-of-10 4.8 GB: 9-of-10 3.8 GB: 10-of-10
Supported Languages	en ru
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.49.0
Tokenizer Class	LlamaTokenizerFast
Vocabulary Size	131072
Torch Data Type	float16

Rank the Core 24B V.1 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 Core 24B V.1

Best Alternatives	Context / RAM	Downloads	Likes
...ral Nemo Instruct 24B Merge V1	1000K / 24.6 GB	9	0
...all 3.1 24B Instruct 2503 Text	128K / 47.3 GB	12	0
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Slimaki 24B V1.2	128K / 47.3 GB	28	6
Neural V1 24B	128K / 47.3 GB	9	3
MS3.2 PaintedFantasy V4.1 24B	128K / 47.3 GB	80	18
Cydonia 24B V4.1	128K / 47.3 GB	2162	80
Slimaki 24B V1	128K / 47.3 GB	15	10
Asmodeus 24B V1	128K / 47.3 GB	58	13
MS3.2 PaintedFantasy V3 24B	128K / 47.3 GB	28	35

Note: green Score (e.g. "73.2") means that the model is better than OddTheGreat/Core_24B_V.1.