What are the hardware requirements for All Oj Pair4 Ds Coder6.7B Rmsprop Iter4?

All Oj Pair4 Ds Coder6.7B Rmsprop Iter4 requires approximately 13.5 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed All Oj Pair4 Ds Coder6.7B Rmsprop Iter4 and how large is it?

All Oj Pair4 Ds Coder6.7B Rmsprop Iter4 is developed by all-oj-gen, a model with 6.7b 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 Coder6.7B Rmsprop Iter4?

All Oj Pair4 Ds Coder6.7B 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 Coder6.7B Rmsprop Iter4 by all-oj-gen — VRAM 13.5GB, 16K context

Name: All Oj Pair4 Ds Coder6.7B Rmsprop Iter4
Author: all-oj-gen

All Oj Pair4 Ds Coder6.7B Rmsprop Iter4 is an open-source language model by all-oj-gen. Features: 6.7b LLM, VRAM: 13.5GB, Context: 16K, License: other, LLM Explorer Score: 0.15.

Alignment-handbook Autotrain compatible Base model:all-oj-gen/all oj p... Base model:finetune:all-oj-gen... Conversational Dataset:all-oj-gen/ds coder6.7... 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_coder6.7b_rmsprop_iter4

All Oj Pair4 Ds Coder6.7B Rmsprop Iter4 Parameters and Internals

LLM Name	All Oj Pair4 Ds Coder6.7b Rmsprop Iter4
Repository 🤗	https://huggingface.co/all-oj-gen/all_oj_pair4_ds_coder6.7b_rmsprop_iter4
Base Model(s)	all-oj-gen/all_oj_pair4_ds_coder6.7b_rmsprop_iter3 all-oj-gen/all_oj_pair4_ds_coder6.7b_rmsprop_iter3
Model Size	6.7b
Required VRAM	13.5 GB
Updated	2024-12-12
Maintainer	all-oj-gen
Model Type	llama
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3 0.0 GB
Model Architecture	LlamaForCausalLM
License	other
Context Length	16384
Model Max Length	16384
Transformers Version	4.45.0
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	32256
Torch Data Type	bfloat16

Rank the All Oj Pair4 Ds Coder6.7B 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 Coder6.7B Rmsprop Iter4

Best Alternatives	Context / RAM	Downloads	Likes
Gptnoise37	128K / 13.5 GB	67	0
...Deepseek Coder 6.7B Energy Sft	16K / 13.5 GB	261	0
Deepseek Coder 6.7B Base	16K / 13.5 GB	54216	124
Speechless Coder Ds 6.7B	16K / 13.5 GB	459	7
...s Coder6.7b Reflct Adamw Iter2	16K / 13.5 GB	480	0
...ir8 Ds Coder6.7b Rmsprop Iter4	16K / 13.5 GB	183	0
OpenCodeInterpreter DS 6.7B	16K / 13.5 GB	20040	135
...ir8 Ds Coder6.7b Rmsprop Iter2	16K / 13.5 GB	183	0
...s Coder6.7b Reflct Adamw Iter1	16K / 13.5 GB	475	0
...ir8 Ds Coder6.7b Rmsprop Iter3	16K / 13.5 GB	165	0

Note: green Score (e.g. "73.2") means that the model is better than all-oj-gen/all_oj_pair4_ds_coder6.7b_rmsprop_iter4.