What are the hardware requirements for Dayhoff 170M UR90 HL 32000?

Dayhoff 170M UR90 HL 32000 requires approximately 0.3 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Dayhoff 170M UR90 HL 32000 and how large is it?

Dayhoff 170M UR90 HL 32000 is developed by microsoft, a model with 170m 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 Dayhoff 170M UR90 HL 32000?

Dayhoff 170M UR90 HL 32000 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Dayhoff 170M UR90 HL 32000 by microsoft — VRAM 0.3GB, 256K context

Name: Dayhoff 170M UR90 HL 32000
Author: microsoft

Dayhoff 170M UR90 HL 32000 is an open-source language model by microsoft. Features: 170m LLM, VRAM: 0.3GB, Context: 256K, License: mit, LLM Explorer Score: 0.24.

Arxiv:2502.12479 Custom code Dataset:microsoft/dayhoff Endpoints compatible Jamba Protein-generation Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/microsoft/Dayhoff-170M-UR90-HL-32000

Dayhoff 170M UR90 HL 32000 Parameters and Internals

LLM Name	Dayhoff 170M UR90 HL 32000
Repository 🤗	https://huggingface.co/microsoft/Dayhoff-170M-UR90-HL-32000
Model Size	170m
Required VRAM	0.3 GB
Updated	2026-10-15
Maintainer	microsoft
Model Type	jamba
Model Files	0.3 GB
Model Architecture	JambaForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	4.52.4
Tokenizer Class	ProteinTokenizer
Padding Token	!
Vocabulary Size	40
Torch Data Type	bfloat16

Rank the Dayhoff 170M UR90 HL 32000 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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