What are the hardware requirements for All Oj Pair4 Ds Chat Reflct Rmsprop Iter4?

All Oj Pair4 Ds Chat Reflct Rmsprop Iter4 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 Reflct Rmsprop Iter4 and how large is it?

All Oj Pair4 Ds Chat Reflct Rmsprop Iter4 is developed by all-oj-gen, 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 All Oj Pair4 Ds Chat Reflct Rmsprop Iter4?

All Oj Pair4 Ds Chat Reflct Rmsprop Iter4 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 Reflct Rmsprop Iter4 by all-oj-gen — VRAM 13.9GB, 4K context

Name: All Oj Pair4 Ds Chat Reflct Rmsprop Iter4
Author: all-oj-gen

All Oj Pair4 Ds Chat Reflct Rmsprop Iter4 is an open-source language model by all-oj-gen. Features: 6.9b LLM, VRAM: 13.9GB, Context: 4K, License: other, LLM Explorer Score: 0.16.

Alignment-handbook Autotrain compatible Base model:all-oj-gen/all oj p... Base model:finetune:all-oj-gen... Conversational Dataset:all-oj-gen/ds chat ref... 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_reflct_rmsprop_iter4

All Oj Pair4 Ds Chat Reflct Rmsprop Iter4 Parameters and Internals

LLM Name	All Oj Pair4 Ds Chat Reflct Rmsprop Iter4
Repository 🤗	https://huggingface.co/all-oj-gen/all_oj_pair4_ds_chat_reflct_rmsprop_iter4
Base Model(s)	...4 Ds Chat Reflct Rmsprop Iter3 all-oj-gen/all_oj_pair4_ds_chat_reflct_rmsprop_iter3
Model Size	6.9b
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 Reflct Rmsprop Iter4 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 All Oj Pair4 Ds Chat Reflct Rmsprop Iter4

Best Alternatives	Context / RAM	Downloads	Likes
Bolna Lead Qualification	16K / 13.8 GB	6	3
Sambanova Llama2 100	4K / 13.9 GB	5	0
Mymath Merged 01	4K / 13.9 GB	6	0
Gorilla Finetuned	4K / 13.8 GB	8	0
STP Model Lean 0320	4K / 13.8 GB	150	1
Deep Neural V1	4K / 27.7 GB	65	0
ProofSeeker V1	4K / 13.9 GB	25	0
...j Pair8 Ds Coder Rmsprop Iter4	4K / 13.9 GB	145	0
... Ds Coder Reflct Rmsprop Iter4	4K / 13.9 GB	105	0
...8 Ds Chat Reflct Rmsprop Iter2	4K / 13.9 GB	87	0

Note: green Score (e.g. "73.2") means that the model is better than all-oj-gen/all_oj_pair4_ds_chat_reflct_rmsprop_iter4.