What are the hardware requirements for Pythia 2.8B Mitchell Sft Hh Rlhf?

Pythia 2.8B Mitchell Sft Hh Rlhf requires approximately 11.1 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 Pythia 2.8B Mitchell Sft Hh Rlhf and how large is it?

Pythia 2.8B Mitchell Sft Hh Rlhf is developed by mnoukhov, a model with 2.8b 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 Pythia 2.8B Mitchell Sft Hh Rlhf?

Pythia 2.8B Mitchell Sft Hh Rlhf is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pythia 2.8B Mitchell Sft Hh Rlhf by mnoukhov — VRAM 11.1GB, 2K context

Name: Pythia 2.8B Mitchell Sft Hh Rlhf
Author: mnoukhov

Pythia 2.8B Mitchell Sft Hh Rlhf is an open-source language model by mnoukhov. Features: 2.8b LLM, VRAM: 11.1GB, Context: 2K, LLM Explorer Score: 0.12.

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

Model Card on HF 🤗: https://huggingface.co/mnoukhov/pythia-2.8b-mitchell-sft_hh_rlhf

Pythia 2.8B Mitchell Sft Hh Rlhf Parameters and Internals

LLM Name	Pythia 2.8B Mitchell Sft Hh Rlhf
Repository 🤗	https://huggingface.co/mnoukhov/pythia-2.8b-mitchell-sft_hh_rlhf
Model Size	2.8b
Required VRAM	11.1 GB
Updated	2024-11-12
Maintainer	mnoukhov
Model Type	gpt_neox
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 1.1 GB: 3-of-3
Model Architecture	GPTNeoXForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.2
Tokenizer Class	GPTNeoXTokenizer
Vocabulary Size	50304
Torch Data Type	float32

Rank the Pythia 2.8B Mitchell Sft Hh Rlhf 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 Pythia 2.8B Mitchell Sft Hh Rlhf

Best Alternatives	Context / RAM	Downloads	Likes
Statichh Pythia 2.8B Sft Bf16	2K / 11.1 GB	8	0
Pythia 2.8B Thai Base V1	2K / 5.9 GB	146	2
Hh Full	2K / 11.1 GB	6	0
... Llm Pythia 2.8B Pm Gen Ian Nd	2K / 11.1 GB	5	0
Pythia 2.8B Deduped	2K / 5.7 GB	8867	14
Pythia 2.8B Sft Hh Rlhf	2K / 5.6 GB	7	0
Pythia 2.8B	2K / 5.7 GB	45869	35
TLDR Pythia2.8B SFT	2K / 11.1 GB	7	0
...ythia 2.8B Helpful Sft 3epochs	2K / 5.6 GB	5	0
Indication PYT V2	2K / 5.7 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than mnoukhov/pythia-2.8b-mitchell-sft_hh_rlhf.