What are the hardware requirements for All Oj Pair4 Ds Chat Rmsprop Iter1?

All Oj Pair4 Ds Chat Rmsprop Iter1 requires approximately 13.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed All Oj Pair4 Ds Chat Rmsprop Iter1 and how large is it?

All Oj Pair4 Ds Chat Rmsprop Iter1 is developed by all-oj-gen, a model with 7b 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 All Oj Pair4 Ds Chat Rmsprop Iter1?

All Oj Pair4 Ds Chat Rmsprop Iter1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

All Oj Pair4 Ds Chat Rmsprop Iter1 by all-oj-gen — VRAM 13.9GB, 4K context

Name: All Oj Pair4 Ds Chat Rmsprop Iter1
Author: all-oj-gen

All Oj Pair4 Ds Chat Rmsprop Iter1 is an open-source language model by all-oj-gen. Features: 7b LLM, VRAM: 13.9GB, Context: 4K, License: other, LLM Explorer Score: 0.15.

Alignment-handbook Autotrain compatible Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Conversational Dataset:all-oj-gen/ds chat ori... Dpo Endpoints compatible Generated from trainer Llama Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/all-oj-gen/all_oj_pair4_ds_chat_rmsprop_iter1

All Oj Pair4 Ds Chat Rmsprop Iter1 Parameters and Internals

LLM Name	All Oj Pair4 Ds Chat Rmsprop Iter1
Repository 🤗	https://huggingface.co/all-oj-gen/all_oj_pair4_ds_chat_rmsprop_iter1
Base Model(s)	Deepseek Llm 7B Chat deepseek-ai/deepseek-llm-7b-chat
Model Size	7b
Required VRAM	13.9 GB
Updated	2024-12-12
Maintainer	all-oj-gen
Model Type	llama
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.9 GB: 3-of-3 0.0 GB
Model Architecture	LlamaForCausalLM
License	other
Context Length	4096
Model Max Length	4096
Transformers Version	4.45.0
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	102400
Torch Data Type	bfloat16

Rank the All Oj Pair4 Ds Chat Rmsprop Iter1 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

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Note: green Score (e.g. "73.2") means that the model is better than all-oj-gen/all_oj_pair4_ds_chat_rmsprop_iter1.