What are the hardware requirements for Lm 1.3B Select 30B Tokens By Educational Value Sample With Temperature2.0?

Lm 1.3B Select 30B Tokens By Educational Value Sample With Temperature2.0 requires approximately 5.4 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.

Where can I download or evaluate Lm 1.3B Select 30B Tokens By Educational Value Sample With Temperature2.0?

Lm 1.3B Select 30B Tokens By Educational Value Sample With Temperature2.0 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lm 1.3B Select 30B Tokens By Educational Value Sample With Temperature2.0 by princeton-nlp — VRAM 5.4GB, 4K context

Name: Lm 1.3B Select 30B Tokens By Educational Value Sample With Temperature2.0
Author: princeton-nlp

Lm 1.3B Select 30B Tokens By Educational Value Sample With Temperature2.0 is an open-source language model by princeton-nlp. Features: 30b LLM, VRAM: 5.4GB, Context: 4K, LLM Explorer Score: 0.11.

Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/princeton-nlp/lm-1.3B-select_30B_tokens_by-educational_value-sample_with_temperature2.0

Lm 1.3B Select 30B Tokens By Educational Value Sample With Temperature2.0 Parameters and Internals

LLM Name	Lm 1.3B Select 30B Tokens By Educational Value Sample With Temperature2.0
Repository 🤗	https://huggingface.co/princeton-nlp/lm-1.3B-select_30B_tokens_by-educational_value-sample_with_temperature2.0
Model Size	30b
Required VRAM	5.4 GB
Updated	2026-07-20
Maintainer	princeton-nlp
Model Type	llama
Model Files	5.0 GB: 1-of-2 0.4 GB: 2-of-2
Model Architecture	LlamaForCausalLM
Context Length	4096
Model Max Length	4096
Transformers Version	4.35.0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Lm 1.3B Select 30B Tokens By Educational Value Sample With Temperature2.0 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

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Note: green Score (e.g. "73.2") means that the model is better than princeton-nlp/lm-1.3B-select_30B_tokens_by-educational_value-sample_with_temperature2.0.