What are the hardware requirements for MistralSmall1500CTXDummy?

MistralSmall1500CTXDummy requires approximately 44.7 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 MistralSmall1500CTXDummy and how large is it?

MistralSmall1500CTXDummy is developed by Jellywibble, a model with 22.2b 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 MistralSmall1500CTXDummy?

MistralSmall1500CTXDummy is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MistralSmall1500CTXDummy by Jellywibble — VRAM 44.7GB, 32K context

Name: MistralSmall1500CTXDummy
Author: Jellywibble

MistralSmall1500CTXDummy is an open-source language model by Jellywibble. Features: 22.2b LLM, VRAM: 44.7GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.14.

Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sft Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/Jellywibble/MistralSmall1500CTXDummy

MistralSmall1500CTXDummy Parameters and Internals

LLM Name	MistralSmall1500CTXDummy
Repository 🤗	https://huggingface.co/Jellywibble/MistralSmall1500CTXDummy
Model Size	22.2b
Required VRAM	44.7 GB
Updated	2025-03-13
Maintainer	Jellywibble
Model Type	mistral
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-9 5.0 GB: 2-of-9 5.0 GB: 3-of-9 4.9 GB: 4-of-9 5.0 GB: 5-of-9 5.0 GB: 6-of-9 4.9 GB: 7-of-9 5.0 GB: 8-of-9 5.0 GB: 9-of-9
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32768
Torch Data Type	float16

Rank the MistralSmall1500CTXDummy 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

Best Alternatives to MistralSmall1500CTXDummy

Best Alternatives	Context / RAM	Downloads	Likes
Mistral Small Instruct 2409	128K / 44.7 GB	32	8
...lect MistralSmallit MMQA Iter1	32K / 44.7 GB	36	0
...ct MistralSmallit Mg DPO Iter1	32K / 60.8 GB	38	0
MS Sunfall V0.7.0	32K / 44.7 GB	3	12
...istral Small It MMQA DPO Iter1	32K / 44.7 GB	5	0
...mall Instruct 2409 Abliterated	32K / 44.7 GB	10	4
MistralSmall1500CTX	32K / 44.7 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than Jellywibble/MistralSmall1500CTXDummy.