Who developed GPT2 774M CINDER SHOW MULTI CHAT and how large is it?

GPT2 774M CINDER SHOW MULTI CHAT is developed by Josephgflowers, 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 774M CINDER SHOW MULTI CHAT perform on standard benchmarks?

GPT2 774M CINDER SHOW MULTI CHAT has the following published scores: MMLU 25.8. Compare against reference models on this page or on the LLM Explorer leaderboards.

GPT2 774M CINDER SHOW MULTI CHAT by Josephgflowers

Name: GPT2 774M CINDER SHOW MULTI CHAT
Author: Josephgflowers

GPT2 774M CINDER SHOW MULTI CHAT is an open-source language model by Josephgflowers. Features: 774m LLM, License: mit, LLM Explorer Score: 0.17, Arc: 26.5, HellaSwag: 39.7, MMLU: 25.8, GSM8K: 3.9.

Endpoints compatible Gpt2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Josephgflowers/GPT2-774M-CINDER-SHOW-MULTI-CHAT

GPT2 774M CINDER SHOW MULTI CHAT Benchmarks

ARC: 26.54 vs 96.7 (so35)^-72.6%

HellaSwag: 39.69 vs 95.3 (gpt4)^-58.4%

MMLU: 25.8 vs 88.3 (so35)^-70.8%

GSM8K: 3.87 vs 96.4 (so35)^-96%

LLME Score: 0.16993

^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 774M CINDER SHOW MULTI CHAT (Josephgflowers/GPT2-774M-CINDER-SHOW-MULTI-CHAT)

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GPT2 774M CINDER SHOW MULTI CHAT Parameters and Internals

Model Type

text generation

Use Cases

Areas:

scientific and educational conversations, companionship, imaginative exploration

Applications:

multi-person chat environments

Primary Use Cases:

Cinder adventure show

Supported Languages

English (proficient)

Input Output

Input Format:

text prompts

Accepted Modalities:

text

Output Format:

generated conversational responses

LLM Name	GPT2 774M CINDER SHOW MULTI CHAT
Repository 🤗	https://huggingface.co/Josephgflowers/GPT2-774M-CINDER-SHOW-MULTI-CHAT
Model Size	774m
Required VRAM	0 GB
Updated	2026-05-18
Maintainer	Josephgflowers
Model Type	gpt2
Model Files	1.6 GB 0.0 GB 0.0 GB 0.0 GB
Model Architecture	GPT2LMHeadModel
License	mit
Model Max Length	1024
Transformers Version	4.38.0.dev0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	50257
Torch Data Type	float16
Activation Function	gelu_new
Errors	replace

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Alpaca Tuned Gpt2	0K / 3.1 GB	1080
Alpaca Spin Gpt2 E0 Se1	0K / 3.1 GB	1082
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Alpaca Refine Gpt2 E0 Se1	0K / 3.1 GB	1071

Note: green Score (e.g. "73.2") means that the model is better than Josephgflowers/GPT2-774M-CINDER-SHOW-MULTI-CHAT.

Rank the GPT2 774M CINDER SHOW MULTI CHAT 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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