What are the hardware requirements for Training Test 921 1?

Training Test 921 1 requires approximately 1.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Training Test 921 1 and how large is it?

Training Test 921 1 is developed by master103525, a model with 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 Training Test 921 1?

Training Test 921 1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Training Test 921 1 by master103525 — VRAM 1.3GB

Name: Training Test 921 1
Author: master103525

Training Test 921 1 is an open-source language model by master103525. Features: 8b LLM, VRAM: 1.3GB, Instruction-Based, LLM Explorer Score: 0.28.

Arxiv:1910.09700 Base model:adapter:unsloth/met... Conversational Instruct Lora Peft Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/master103525/training-test-921-1

Training Test 921 1 Parameters and Internals

LLM Name	Training Test 921 1
Repository 🤗	https://huggingface.co/master103525/training-test-921-1
Base Model(s)	unsloth--Meta-Llama-3.1-8B-Instruct /unsloth--Meta-Llama-3.1-8B-Instruct
Model Size	8b
Required VRAM	1.3 GB
Updated	2026-09-23
Maintainer	master103525
Instruction-Based	Yes
Model Files	1.3 GB 0.0 GB
Model Architecture	AutoModel
Model Max Length	131072
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|q_proj\|down_proj\|v_proj\|up_proj\|o_proj\|k_proj
LoRA Alpha	512
LoRA Dropout	0.1
R Param	128

Rank the Training Test 921 1 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

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