What are the hardware requirements for Machina 24B.V2?

Machina 24B.V2 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 Machina 24B.V2 and how large is it?

Machina 24B.V2 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 Machina 24B.V2?

Machina 24B.V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Machina 24B.V2 by OddTheGreat — VRAM 47.3GB, 32K context

Name: Machina 24B.V2
Author: OddTheGreat

Machina 24B.V2 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:huihui-ai/mistral-s... Base model:pocketdoc/dans-dang... Base model:trashpanda-org/ms-2... Conversational Dark En Endpoints compatible Instruct Mistral Negative Region:us Roleplay Ru Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/OddTheGreat/Machina_24B.V2

Machina 24B.V2 Parameters and Internals

LLM Name	Machina 24B.V2
Repository 🤗	https://huggingface.co/OddTheGreat/Machina_24B.V2
Base Model(s)	... 24B Instruct 2501 Abliterated PocketDoc/Dans-DangerousWinds-V1.1.1-24b MS 24B Instruct Mullein V0 huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated PocketDoc/Dans-DangerousWinds-V1.1.1-24b trashpanda-org/MS-24B-Instruct-Mullein-v0
Merged Model	Yes
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-08-02
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	4.48.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	131072
Torch Data Type	float16

Rank the Machina 24B.V2 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 Machina 24B.V2

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	16	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	50	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/Machina_24B.V2.