What are the hardware requirements for Gpt2 Large Lora Sft1?

Gpt2 Large Lora Sft1 requires approximately 1.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gpt2 Large Lora Sft1 and how large is it?

Gpt2 Large Lora Sft1 is developed by Mikivis, a model with 774m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Gpt2 Large Lora Sft1 perform on standard benchmarks?

Gpt2 Large Lora Sft1 has the following published scores: MMLU 24.89. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gpt2 Large Lora Sft1 by Mikivis — VRAM 1.6GB

Name: Gpt2 Large Lora Sft1
Author: Mikivis

Gpt2 Large Lora Sft1 is an open-source language model by Mikivis. Features: 774m LLM, VRAM: 1.6GB, License: apache-2.0, LLM Explorer Score: 0.14, Arc: 24.7, HellaSwag: 42.7, MMLU: 24.9.

Endpoints compatible Gpt2 Lora Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Mikivis/gpt2-large-lora-sft1

Gpt2 Large Lora Sft1 Benchmarks

ARC: 24.66 vs 96.7 (so35)^-74.5%

HellaSwag: 42.67 vs 95.3 (gpt4)^-55.2%

MMLU: 24.89 vs 88.3 (so35)^-71.8%

LLME Score: 0.13886

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gpt2 Large Lora Sft1 (Mikivis/gpt2-large-lora-sft1)

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Gpt2 Large Lora Sft1 Parameters and Internals

Model Type

text generation

Training Details

Methodology:

LoRA (Low-Rank Adaptation) fine-tuning technique

Hardware Used:

6 GPUs

Model Architecture:

Transformer-based, GPT-2 architecture

LLM Name	Gpt2 Large Lora Sft1
Repository 🤗	https://huggingface.co/Mikivis/gpt2-large-lora-sft1
Model Size	774m
Required VRAM	1.6 GB
Updated	2026-05-25
Maintainer	Mikivis
Model Type	gpt2
Model Files	1.6 GB 1.6 GB
Model Architecture	GPT2LMHeadModel
License	apache-2.0
Model Max Length	1024
Transformers Version	4.32.1
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50257
LoRA Model	Yes
Torch Data Type	float16
Activation Function	gelu_new

Best Alternatives to Gpt2 Large Lora Sft1

Best Alternatives	Context / RAM	Downloads	Likes
Gpt2 Large Sft	0K / 3.1 GB	10	0
Gpt2 Large Sft Anthropic Hh	0K / 1.6 GB	10	0
Gpt2 Large Sft Golden Hh	0K / 1.6 GB	5	0
Gpt2 Large Sft Imdb	0K / 1.6 GB	6	0
ProtGPT2 With Pad	0K / 3.1 GB	14	0
...T2 774M CINDER SHOW MULTI CHAT	0K / 0 GB	89	2
Alpaca Refine Gpt2 E1 Se0	0K / 3.1 GB	1081	0
Alpaca Tuned Gpt2	0K / 3.1 GB	1080	0
Alpaca Spin Gpt2 E0 Se1	0K / 3.1 GB	1082	0
Alpaca Spin Gpt2 E1 Se0	0K / 3.1 GB	1066	0

Note: green Score (e.g. "73.2") means that the model is better than Mikivis/gpt2-large-lora-sft1.

Rank the Gpt2 Large Lora Sft1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Gpt2 Large Lora Sft1 by Mikivis

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Gpt2 Large Lora Sft1 Benchmarks

Gpt2 Large Lora Sft1 Parameters and Internals

Best Alternatives to Gpt2 Large Lora Sft1

Rank the Gpt2 Large Lora Sft1 Capabilities

What open-source LLMs or SLMs are you in search of? 53972 in total.