What are the hardware requirements for Ppo Tldr 6.9B?

Ppo Tldr 6.9B requires approximately 13.8 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 Ppo Tldr 6.9B and how large is it?

Ppo Tldr 6.9B is developed by vwxyzjn, 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 Ppo Tldr 6.9B?

Ppo Tldr 6.9B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ppo Tldr 6.9B by vwxyzjn — VRAM 13.8GB, 2K context

Name: Ppo Tldr 6.9B
Author: vwxyzjn

Ppo Tldr 6.9B is an open-source language model by vwxyzjn. Features: 6.9b LLM, VRAM: 13.8GB, Context: 2K, LLM Explorer Score: 0.12.

Arxiv:1910.09700 Conversational Endpoints compatible Gpt neox Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/vwxyzjn/ppo_tldr_6.9b

Ppo Tldr 6.9B Parameters and Internals

LLM Name	Ppo Tldr 6.9B
Repository 🤗	https://huggingface.co/vwxyzjn/ppo_tldr_6.9b
Model Size	6.9b
Required VRAM	13.8 GB
Updated	2026-06-30
Maintainer	vwxyzjn
Model Type	gpt_neox
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.8 GB: 3-of-3
Model Architecture	GPTNeoXForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.41.1
Tokenizer Class	GPTNeoXTokenizer
Padding Token	[PAD]
Vocabulary Size	50432
Torch Data Type	bfloat16

Rank the Ppo Tldr 6.9B 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 Ppo Tldr 6.9B

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
Pythia 6.9B Deduped	2K / 13.8 GB	15102	7

Note: green Score (e.g. "73.2") means that the model is better than vwxyzjn/ppo_tldr_6.9b.