What are the hardware requirements for Arcee Blitz?

Arcee Blitz requires approximately 47.2 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 Arcee Blitz and how large is it?

Arcee Blitz is developed by arcee-ai, 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 Arcee Blitz?

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

Arcee Blitz by arcee-ai — VRAM 47.2GB, 32K context

Name: Arcee Blitz
Author: arcee-ai

Arcee Blitz is an open-source language model by arcee-ai. Features: 24b LLM, VRAM: 47.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.29.

Merged Model Base model:finetune:mistralai/... Base model:mistralai/mistral-s... Conversational Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/arcee-ai/Arcee-Blitz

Arcee Blitz Benchmarks

LLME Score: 0.29192

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Arcee Blitz Parameters and Internals

LLM Name	Arcee Blitz
Repository 🤗	https://huggingface.co/arcee-ai/Arcee-Blitz
Base Model(s)	...istral Small 24B Instruct 2501 mistralai/Mistral-Small-24B-Instruct-2501
Merged Model	Yes
Model Size	24b
Required VRAM	47.2 GB
Updated	2026-06-30
Maintainer	arcee-ai
Model Type	mistral
Instruction-Based	Yes
Model Files	3.9 GB: 1-of-10 4.8 GB: 2-of-10 4.8 GB: 3-of-10 4.8 GB: 4-of-10 4.9 GB: 5-of-10 4.8 GB: 6-of-10 4.8 GB: 7-of-10 4.7 GB: 8-of-10 4.9 GB: 9-of-10 4.8 GB: 10-of-10
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.1
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	131072
Torch Data Type	bfloat16

Quantized Models of the Arcee Blitz

Model	Likes	Downloads	VRAM
Arcee Blitz AWQ	6	3	14 GB

Best Alternatives to Arcee Blitz

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	17	0
Cydonia 24B V4.3	128K / 47.3 GB	5057	112
Slimaki 24B V1.2	128K / 47.3 GB	28	6
Neural V1 24B	128K / 47.3 GB	8	3
MS3.2 PaintedFantasy V4.1 24B	128K / 47.3 GB	80	18
Cydonia 24B V4.1	128K / 47.3 GB	1475	77
MS3.2 PaintedFantasy V3 24B	128K / 47.3 GB	80	35
Cydonia 24B V4.2.0	128K / 47.3 GB	36	39
Rivermind 24B V1	128K / 47.3 GB	14	12

Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Arcee-Blitz.

Rank the Arcee Blitz Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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Arcee Blitz by arcee-ai