What are the hardware requirements for Distill Bench Pretraining Teacher 1.5B?

Distill Bench Pretraining Teacher 1.5B requires approximately 6.1 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Distill Bench Pretraining Teacher 1.5B and how large is it?

Distill Bench Pretraining Teacher 1.5B is developed by yoavgelberg, a model with 1.5b 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 Distill Bench Pretraining Teacher 1.5B?

Distill Bench Pretraining Teacher 1.5B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Distill Bench Pretraining Teacher 1.5B by yoavgelberg — VRAM 6.1GB, 2K context

Name: Distill Bench Pretraining Teacher 1.5B
Author: yoavgelberg

Distill Bench Pretraining Teacher 1.5B is an open-source language model by yoavgelberg. Features: 1.5b LLM, VRAM: 6.1GB, Context: 2K, License: other, LLM Explorer Score: 0.33.

Endpoints compatible Llama Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/yoavgelberg/distill-bench-pretraining-teacher-1.5b

Distill Bench Pretraining Teacher 1.5B Parameters and Internals

LLM Name	Distill Bench Pretraining Teacher 1.5B
Repository 🤗	https://huggingface.co/yoavgelberg/distill-bench-pretraining-teacher-1.5b
Model Size	1.5b
Required VRAM	6.1 GB
Updated	2026-10-30
Maintainer	yoavgelberg
Model Type	llama
Model Files	6.1 GB
Model Architecture	LlamaForCausalLM
License	other
Context Length	2048
Model Max Length	2048
Transformers Version	5.17.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	49152

Rank the Distill Bench Pretraining Teacher 1.5B 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 yoavgelberg/distill-bench-pretraining-teacher-1.5b.