What are the hardware requirements for Mistal 24B With Nemotron Converted Vllm?

Mistal 24B With Nemotron Converted Vllm 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 Mistal 24B With Nemotron Converted Vllm and how large is it?

Mistal 24B With Nemotron Converted Vllm is developed by thanujr, 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 Mistal 24B With Nemotron Converted Vllm?

Mistal 24B With Nemotron Converted Vllm is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistal 24B With Nemotron Converted Vllm by thanujr — VRAM 47.3GB, 32K context

Name: Mistal 24B With Nemotron Converted Vllm
Author: thanujr

Mistal 24B With Nemotron Converted Vllm is an open-source language model by thanujr. Features: 24b LLM, VRAM: 47.3GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

4bit Autotrain compatible Base model:finetune:unsloth/mi... Base model:unsloth/mistral-sma... Conversational En Endpoints compatible Instruct Mistral Quantized Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/thanujr/mistal_24b_with_nemotron_converted_vllm

Mistal 24B With Nemotron Converted Vllm Parameters and Internals

LLM Name	Mistal 24b With Nemotron Converted Vllm
Repository 🤗	https://huggingface.co/thanujr/mistal_24b_with_nemotron_converted_vllm
Base Model(s)	...Instruct 2501 Unsloth Bnb 4bit unsloth/Mistral-Small-24B-Instruct-2501-unsloth-bnb-4bit
Model Size	24b
Required VRAM	47.3 GB
Updated	2025-03-17
Maintainer	thanujr
Model Type	mistral
Instruction-Based	Yes
Model Files	4.8 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 3.9 GB: 10-of-10
Supported Languages	en
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.3
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistal 24B With Nemotron Converted Vllm 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 Mistal 24B With Nemotron Converted Vllm

Best Alternatives	Context / RAM	Downloads	Likes
Devstral Small 2507 Bnb 4bit	128K / 14.2 GB	398	1
...al Small 2507 Unsloth Bnb 4bit	128K / 15 GB	128	5
...al Small 2506 Unsloth Bnb 4bit	40K / 15 GB	109	4
Magistral Small 2506 Bnb 4bit	40K / 14.2 GB	38	1
...l Small 24B Instruct 2501 4bit	32K / 13.3 GB	1344	14
Not So Small Alpaca 24B	32K / 47.3 GB	14	0
Napoleon 24B V0.0	32K / 47.3 GB	18	0
...all 24B Instruct 2501 Bnb 4bit	32K / 14.2 GB	4725	3
...Instruct 2501 Unsloth Bnb 4bit	32K / 15 GB	2955	19
...24B Base 2501 Unsloth Bnb 4bit	32K / 15.7 GB	116	3

Note: green Score (e.g. "73.2") means that the model is better than thanujr/mistal_24b_with_nemotron_converted_vllm.