What are the hardware requirements for Mixtral AI Cyber Child?

Mixtral AI Cyber Child requires approximately 14.5 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 Mixtral AI Cyber Child and how large is it?

Mixtral AI Cyber Child is developed by LeroyDyer. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mixtral AI Cyber Child perform on standard benchmarks?

Mixtral AI Cyber Child has the following published scores: MMLU 60.07. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mixtral AI Cyber Child by LeroyDyer — VRAM 14.5GB, 32K context

Name: Mixtral AI Cyber Child
Author: LeroyDyer

Mixtral AI Cyber Child is an open-source language model by LeroyDyer. Features: LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.13, Arc: 63.2, HellaSwag: 83.4, MMLU: 60.1, GSM8K: 48.6.

Autotrain compatible Conversational En Endpoints compatible Mistral Pytorch Region:us Sharded Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Child

Mixtral AI Cyber Child Parameters and Internals

LLM Name	Mixtral AI Cyber Child
Repository 🤗	https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Child
Base Model(s)	Local /Local
Required VRAM	14.5 GB
Updated	2024-08-02
Maintainer	LeroyDyer
Model Type	mistral
Model Files	6.0 GB: 1-of-3 5.9 GB: 2-of-3 2.6 GB: 3-of-3
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the Mixtral AI Cyber Child 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 Mixtral AI Cyber Child

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Krutrim 2 Instruct	1000K / 49.3 GB	866	38
Ft V1 Violet	1000K / 24.5 GB	5	0
Tiny Random MistralForCausalLM	128K / 0 GB	154	1
Winterreise M7	32K / 14.4 GB	0	0
Frostwind V2.1 M7	32K / 14.4 GB	0	0
MistralLite	32K / 14.4 GB	91207	435
...ydaz Web AI Reasoner BaseModel	32K / 14.4 GB	0	1
MistralLite	32K / 14.4 GB	61777	430
Kheops Textbook Immo2	32K / 14.5 GB	11	0
Snorkel Mistral PairRM DPO	32K / 14.4 GB	76	108

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