What are the hardware requirements for Open Sci Ref V0.02 1.7B Nemotron Hq Mv Reasoning 300B 4096 SFT Tulu3 Decontaminated?

Open Sci Ref V0.02 1.7B Nemotron Hq Mv Reasoning 300B 4096 SFT Tulu3 Decontaminated requires approximately 3.4 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Open Sci Ref V0.02 1.7B Nemotron Hq Mv Reasoning 300B 4096 SFT Tulu3 Decontaminated by ali-elganzory — VRAM 3.4GB, 4K context

Name: Open Sci Ref V0.02 1.7B Nemotron Hq Mv Reasoning 300B 4096 SFT Tulu3 Decontaminated
Author: ali-elganzory

Open Sci Ref V0.02 1.7B Nemotron Hq Mv Reasoning 300B 4096 SFT Tulu3 Decontaminated is an open-source language model by ali-elganzory. Features: 300b LLM, VRAM: 3.4GB, Context: 4K, LLM Explorer Score: 0.31.

Base model:ali-elganzory/open-... Base model:finetune:ali-elganz... Conversational Custom code Generated from trainer Opensci Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/ali-elganzory/open-sci-ref-v0.02-1.7b-nemotron-hq-mv_reasoning-300B-4096-SFT-Tulu3-decontaminated

Open Sci Ref V0.02 1.7B Nemotron Hq Mv Reasoning 300B 4096 SFT Tulu3 Decontaminated Parameters and Internals

LLM Name	Open Sci Ref V0.02 1.7B Nemotron Hq Mv Reasoning 300B 4096 SFT Tulu3 Decontaminated
Repository 🤗	https://huggingface.co/ali-elganzory/open-sci-ref-v0.02-1.7b-nemotron-hq-mv_reasoning-300B-4096-SFT-Tulu3-decontaminated
Base Model(s)	ali-elganzory/open-sci-ref-v0.02-1.7b-nemotron-hq-mv_reasoning-300B-4096 ali-elganzory/open-sci-ref-v0.02-1.7b-nemotron-hq-mv_reasoning-300B-4096
Model Size	300b
Required VRAM	3.4 GB
Updated	2026-08-22
Maintainer	ali-elganzory
Model Type	opensci
Model Files	3.4 GB 0.0 GB
Model Architecture	OpensciForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.57.6
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50304

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Instruction Following and Task Automation
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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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