What are the hardware requirements for Pinecone Sage 24B?

Pinecone Sage 24B 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 Pinecone Sage 24B and how large is it?

Pinecone Sage 24B is developed by Entropicengine, 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 Pinecone Sage 24B?

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

Pinecone Sage 24B by Entropicengine — VRAM 47.3GB, 32K context

Name: Pinecone Sage 24B
Author: Entropicengine

Pinecone Sage 24B is an open-source language model by Entropicengine. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, LLM Explorer Score: 0.19.

Arxiv:2311.03099 Base model:darkc0de/xortroncri... Base model:entropicengine/dark... Base model:entropicengine/trif... Base model:merge:darkc0de/xort... Base model:merge:entropicengin... Base model:merge:entropicengin... Conversational Endpoints compatible Merge Mergekit Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Entropicengine/Pinecone-sage-24b

Pinecone Sage 24B Parameters and Internals

LLM Name	Pinecone Sage 24B
Repository 🤗	https://huggingface.co/Entropicengine/Pinecone-sage-24b
Base Model(s)	XortronCriminalComputingConfig DarkTriad 24B Trifecta Max 24B darkc0de/XortronCriminalComputingConfig Entropicengine/DarkTriad-24b Entropicengine/Trifecta-Max-24b
Model Size	24b
Required VRAM	47.3 GB
Updated	2026-08-01
Maintainer	Entropicengine
Model Type	mistral
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
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.4
Tokenizer Class	LlamaTokenizerFast
Padding Token	<pad>
Vocabulary Size	131074
Torch Data Type	bfloat16

Rank the Pinecone Sage 24B 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 Pinecone Sage 24B

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	15	0
Morbid Miasma 24B	128K / 47.3 GB	33	9
MagiSeek Pro V1	128K / 47.3 GB	303	1
Slimaki Tavern 24B V1.3	128K / 47.3 GB	346	16
Zepar 24B V1	128K / 47.3 GB	36	3
Cydonia 24B V4.3	128K / 47.3 GB	3652	138
Transformed Journey 24B	128K / 47.3 GB	65	0
Magistry Painted Cydonia 24B	128K / 47.3 GB	60	2
Morax 24B V2	128K / 18.3 GB	57	2

Note: green Score (e.g. "73.2") means that the model is better than Entropicengine/Pinecone-sage-24b.