What are the hardware requirements for 1.7B MixtureVitae 300BT V1 Decontaminated 16K SFT Tulu3 Decontaminated Masked?

1.7B MixtureVitae 300BT V1 Decontaminated 16K SFT Tulu3 Decontaminated Masked 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.

1.7B MixtureVitae 300BT V1 Decontaminated 16K SFT Tulu3 Decontaminated Masked by laion — VRAM 3.4GB, 16K context

Name: 1.7B MixtureVitae 300BT V1 Decontaminated 16K SFT Tulu3 Decontaminated Masked
Author: laion

1.7B MixtureVitae 300BT V1 Decontaminated 16K SFT Tulu3 Decontaminated Masked is an open-source language model by laion. Features: 1.7b LLM, VRAM: 3.4GB, Context: 16K, License: other.

Base model:ali-elganzory/1.7b-... Base model:finetune:ali-elganz... Conversational Custom code Dataset:ali-elganzory/tulu-3-s... Generated from trainer Opensci Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/laion/1.7b-MixtureVitae-300BT-v1-decontaminated-16k-SFT-Tulu3-decontaminated-masked

1.7B MixtureVitae 300BT V1 Decontaminated 16K SFT Tulu3 Decontaminated Masked Parameters and Internals

LLM Name	1.7B MixtureVitae 300BT V1 Decontaminated 16K SFT Tulu3 Decontaminated Masked
Repository 🤗	https://huggingface.co/laion/1.7b-MixtureVitae-300BT-v1-decontaminated-16k-SFT-Tulu3-decontaminated-masked
Base Model(s)	ali-elganzory/1.7b-MixtureVitae-300BT-v1-decontaminated-16k ali-elganzory/1.7b-MixtureVitae-300BT-v1-decontaminated-16k
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-10-22
Maintainer	laion
Model Type	opensci
Model Files	3.4 GB 0.0 GB
Model Architecture	OpensciForCausalLM
License	other
Context Length	16384
Model Max Length	16384
Transformers Version	4.57.6
Tokenizer Class	GPTNeoXTokenizer
Padding Token	<end_of_turn>
Vocabulary Size	50304

Rank the 1.7B MixtureVitae 300BT V1 Decontaminated 16K SFT Tulu3 Decontaminated Masked 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 1.7B MixtureVitae 300BT V1 Decontaminated 16K SFT Tulu3 Decontaminated Masked

Best Alternatives	Context / RAM	Downloads
...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
...T V1 Decontaminated 16K Merged	16K / 3.4 GB	5
...t 16k DPO Tulu3 Decontaminated	16K / 3.4 GB	14
...t 16k SFT Tulu3 Decontaminated	16K / 3.4 GB	13
... Web Curated 100BT Longsft 16k	16K / 3.4 GB	12
...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 laion/1.7b-MixtureVitae-300BT-v1-decontaminated-16k-SFT-Tulu3-decontaminated-masked.