What are the hardware requirements for My Tokenizer 50 20000?

My Tokenizer 50 20000 requires approximately 14.6 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 My Tokenizer 50 20000 and how large is it?

My Tokenizer 50 20000 is developed by naot97, a model with 7.3b 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 My Tokenizer 50 20000?

My Tokenizer 50 20000 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

My Tokenizer 50 20000 by naot97 — VRAM 14.6GB, 32K context

Name: My Tokenizer 50 20000
Author: naot97

My Tokenizer 50 20000 is an open-source language model by naot97. Features: 7.3b LLM, VRAM: 14.6GB, Context: 32K, LLM Explorer Score: 0.17.

Arxiv:1910.09700 Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/naot97/my-tokenizer-50-20000

My Tokenizer 50 20000 Parameters and Internals

LLM Name	My Tokenizer 50 20000
Repository 🤗	https://huggingface.co/naot97/my-tokenizer-50-20000
Model Size	7.3b
Required VRAM	14.6 GB
Updated	2026-07-13
Maintainer	naot97
Model Type	mistral
Model Files	4.9 GB: 1-of-3 4.9 GB: 2-of-3 4.8 GB: 3-of-3
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	43977
Torch Data Type	float16

Rank the My Tokenizer 50 20000 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 My Tokenizer 50 20000

Best Alternatives	Context / RAM	Downloads	Likes
Dictalm2.0 Instruct	32K / 14.5 GB	2791	25
My Tokenizer 100 10000	32K / 22.3 GB	12	0
Dictalm2.0	32K / 14.5 GB	368	28
Mis	32K / 14.6 GB	6	0
Dictalm2 It Qa Fine Tune	32K / 14.5 GB	26	7
Misjava Api 060924 V3 Merged	32K / 14.6 GB	5	0
... Fine Tuned Alpaca Gpt4 Hebrew	32K / 14.5 GB	201	0
Dictalm2.0 Instruct Fine Tuned	32K / 14.5 GB	21	0
Quietstar 8 Ahead	32K / 14.5 GB	43	90
Swallow Hermes St V1	4K / 14.6 GB	14	14

Note: green Score (e.g. "73.2") means that the model is better than naot97/my-tokenizer-50-20000.