What are the hardware requirements for Trojan Large Pythia 6.9B Dev Phase?

Trojan Large Pythia 6.9B Dev Phase requires approximately 27.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Trojan Large Pythia 6.9B Dev Phase and how large is it?

Trojan Large Pythia 6.9B Dev Phase is developed by TDC2023, a model with 6.9b 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 Trojan Large Pythia 6.9B Dev Phase?

Trojan Large Pythia 6.9B Dev Phase is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Trojan Large Pythia 6.9B Dev Phase by TDC2023 — VRAM 27.6GB, 2K context

Name: Trojan Large Pythia 6.9B Dev Phase
Author: TDC2023

Trojan Large Pythia 6.9B Dev Phase is an open-source language model by TDC2023. Features: 6.9b LLM, VRAM: 27.6GB, Context: 2K, LLM Explorer Score: 0.07.

Endpoints compatible Gpt neox Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/TDC2023/trojan-large-pythia-6.9b-dev-phase

Trojan Large Pythia 6.9B Dev Phase Parameters and Internals

LLM Name	Trojan Large Pythia 6.9B Dev Phase
Repository 🤗	https://huggingface.co/TDC2023/trojan-large-pythia-6.9b-dev-phase
Model Size	6.9b
Required VRAM	27.6 GB
Updated	2026-08-07
Maintainer	TDC2023
Model Type	gpt_neox
Model Files	10.0 GB: 1-of-3 10.0 GB: 2-of-3 7.6 GB: 3-of-3
Model Architecture	GPTNeoXForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.28.1
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50432
Torch Data Type	float32

Rank the Trojan Large Pythia 6.9B Dev Phase 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

Best Alternatives to Trojan Large Pythia 6.9B Dev Phase

Best Alternatives	Context / RAM	Downloads	Likes
...d E2e Alignment Upsampled Base	16K / 13.8 GB	15	0
...2e Misalignment Upsampled Base	16K / 13.8 GB	15	0
...train Alignment Upsampled Base	16K / 13.8 GB	13	1
...d E2e Alignment Upsampled Base	16K / 13.8 GB	14	0
...train Alignment Upsampled Base	16K / 13.8 GB	11	0
Sfm Baseline Unfiltered Base	16K / 13.8 GB	68	0
...in Misalignment Upsampled Base	16K / 13.8 GB	14	0
...raining Mix Blocklist Filtered	16K / 13.8 GB	21	0
Pythia 6.9B Deduped 8K	8K / 13.8 GB	11	1
Pythia6.9B Dolly	2K / 27.2 GB	305	1

Note: green Score (e.g. "73.2") means that the model is better than TDC2023/trojan-large-pythia-6.9b-dev-phase.