What are the hardware requirements for Test1?

Test1 requires approximately 7.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Test1 and how large is it?

Test1 is developed by absl2024, a model with 3.8b 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 Test1?

Test1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Test1 by absl2024 — VRAM 7.7GB

Name: Test1
Author: absl2024

Test1 is an open-source language model by absl2024. Features: 3.8b LLM, VRAM: 7.7GB, Instruction-Based, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Adapter Base model:adapter:microsoft/p... Base model:microsoft/phi-3-min... Custom code Finetuned Instruct Lora Peft Phi3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/absl2024/test1

Test1 Parameters and Internals

LLM Name	Test1
Repository 🤗	https://huggingface.co/absl2024/test1
Base Model(s)	Phi 3 Mini 4K Instruct microsoft/Phi-3-mini-4k-instruct
Model Size	3.8b
Required VRAM	7.7 GB
Updated	2025-09-13
Maintainer	absl2024
Instruction-Based	Yes
Model Files	0.1 GB 5.0 GB: 1-of-2 2.7 GB: 2-of-2 0.0 GB
Model Architecture	Adapter
Model Max Length	4096
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	qkv_proj\|o_proj\|down_proj\|gate_up_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Test1 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 Test1

Best Alternatives	Context / RAM	Downloads	Likes
...ltexp Clm Mediphi 3.8B Adapter	0K / 0.2 GB	9	1

Note: green Score (e.g. "73.2") means that the model is better than absl2024/test1.