What are the hardware requirements for 1.7B MixtureVitae Web Curated 100BT Longsft 16K?

1.7B MixtureVitae Web Curated 100BT Longsft 16K requires approximately 3.4 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed 1.7B MixtureVitae Web Curated 100BT Longsft 16K and how large is it?

1.7B MixtureVitae Web Curated 100BT Longsft 16K is developed by ontocord, a model with 1.7b 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 1.7B MixtureVitae Web Curated 100BT Longsft 16K?

1.7B MixtureVitae Web Curated 100BT Longsft 16K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

1.7B MixtureVitae Web Curated 100BT Longsft 16K by ontocord — VRAM 3.4GB, 16K context

Name: 1.7B MixtureVitae Web Curated 100BT Longsft 16K
Author: ontocord

1.7B MixtureVitae Web Curated 100BT Longsft 16K is an open-source language model by ontocord. Features: 1.7b LLM, VRAM: 3.4GB, Context: 16K, License: other, LLM Explorer Score: 0.23.

Base model:finetune:ontocord/1... Base model:ontocord/1.7b-mixtu... Custom code Feature-extraction Full Generated from trainer Llama-factory Opensci Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/ontocord/1.7b-MixtureVitae-web_curated-100BT-longsft_16k

1.7B MixtureVitae Web Curated 100BT Longsft 16K Parameters and Internals

LLM Name	1.7B MixtureVitae Web Curated 100BT Longsft 16k
Repository 🤗	https://huggingface.co/ontocord/1.7b-MixtureVitae-web_curated-100BT-longsft_16k
Base Model(s)	ontocord/1.7b-MixtureVitae-web_curated-100BT ontocord/1.7b-MixtureVitae-web_curated-100BT
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-08-03
Maintainer	ontocord
Model Type	opensci
Model Files	3.4 GB
Model Architecture	OpensciForCausalLM
License	other
Context Length	16384
Model Max Length	16384
Transformers Version	4.51.3
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<end_of_turn>
Vocabulary Size	50304
Torch Data Type	bfloat16

Rank the 1.7B MixtureVitae Web Curated 100BT Longsft 16K 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
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Multi-Language Support and Translation

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...FT Tulu3 Decontaminated Masked	16K / 3.4 GB	342
...erged SFT Tulu3 Decontaminated	16K / 3.4 GB	6
....7B Comma0.1 300BT Longsft 16k	16K / 3.4 GB	27
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...t 16k SFT Tulu3 Decontaminated	16K / 3.4 GB	13
...ae 300BT V1 Decontaminated 16K	16K / 3.4 GB	113
...ae 300BT V1 Decontaminated 16K	16K / 3.4 GB	14
...reVitae 300BT V1 16K SFT Tulu3	16K / 3.4 GB	5

Note: green Score (e.g. "73.2") means that the model is better than ontocord/1.7b-MixtureVitae-web_curated-100BT-longsft_16k.