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: 0.13.

Arxiv:1910.09700 Autotrain compatible 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 Benchmarks

LLME Score: 0.13413

^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)

🌟 Advertise your project 🚀

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	2025-10-02
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

Best Alternatives to Ppo Tldr 6.9B

Best Alternatives	Context / RAM	Downloads	Likes
Pythia 6.9B Deduped 8K	8K / 13.8 GB	8	1
Pythia 6.9B	2K / 13.8 GB	141685	60
...I Pythia 6.9B Deduped Sft Tldr	2K / 27.4 GB	803	0
Pythia 6.9B Deduped	2K / 13.8 GB	10910	8
...I Pythia 6.9B Deduped Sft Tldr	2K / 13.8 GB	7	0
Oasst Pythia 6.9B 4000 Steps	2K / 13.8 GB	879	0
Pythia 6.9B HC3	2K / 27.7 GB	9	2
Open Instruct Pythia 6.9B Tulu	2K / 27.6 GB	1011	6
...an Large Pythia 6.9B Dev Phase	2K / 27.6 GB	6	3
Pythia 6.9B Deduped Alpaca	2K / 27.6 GB	8	1

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

Rank the Ppo Tldr 6.9B 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

What open-source LLMs or SLMs are you in search of? 53999 in total.

Email us: info@extractum.io. Our Privacy Policy | Terms and Conditions | Suggest an improvement.

Our Social Media →

Original data from HuggingFace, OpenCompass and various public git repos.

Check out Ag3ntum — our secure, self-hosted AI agent for server management.

Release v20260328a

Support LLM Explorer

Ppo Tldr 6.9B by vwxyzjn

» All LLMs » vwxyzjn » Ppo Tldr 6.9B URL Share it on

Ppo Tldr 6.9B Benchmarks

Ppo Tldr 6.9B Parameters and Internals

Best Alternatives to Ppo Tldr 6.9B

Rank the Ppo Tldr 6.9B Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.