What are the hardware requirements for All Oj Pair4 Ds Coder6.7B Rmsprop Iter1?

All Oj Pair4 Ds Coder6.7B Rmsprop Iter1 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 Iter1 and how large is it?

All Oj Pair4 Ds Coder6.7B Rmsprop Iter1 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 Iter1?

All Oj Pair4 Ds Coder6.7B 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 Coder6.7B Rmsprop Iter1 by all-oj-gen — VRAM 13.5GB, 16K context

Name: All Oj Pair4 Ds Coder6.7B Rmsprop Iter1
Author: all-oj-gen

All Oj Pair4 Ds Coder6.7B Rmsprop Iter1 is an open-source language model by all-oj-gen. Features: 6.7b LLM, VRAM: 13.5GB, Context: 16K, License: other, Instruction-Based, Code Generating, LLM Explorer Score: 0.15.

Alignment-handbook Autotrain compatible Base model:deepseek-ai/deepsee... Base model:finetune:deepseek-a... Codegen Conversational Dataset:all-oj-gen/ds coder6.7... Dpo Endpoints compatible Generated from trainer Instruct Llama Region:us Safetensors Sharded Tensorflow Trl

Model Card on HF 🤗: https://huggingface.co/all-oj-gen/all_oj_pair4_ds_coder6.7b_rmsprop_iter1

All Oj Pair4 Ds Coder6.7B Rmsprop Iter1 Parameters and Internals

LLM Name	All Oj Pair4 Ds Coder6.7b Rmsprop Iter1
Repository 🤗	https://huggingface.co/all-oj-gen/all_oj_pair4_ds_coder6.7b_rmsprop_iter1
Base Model(s)	deepseek-ai/deepseek-coder-6.7b-instruct deepseek-ai/deepseek-coder-6.7b-instruct
Model Size	6.7b
Required VRAM	13.5 GB
Updated	2024-12-12
Maintainer	all-oj-gen
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 5.0 GB: 2-of-3 3.6 GB: 3-of-3 0.0 GB
Generates Code	Yes
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 Iter1 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 Iter1

Best Alternatives	Context / RAM	Downloads	Likes
Speechless Coder Ds 6.7B	16K / 13.5 GB	459	7
...s Coder6.7b Reflct Adamw Iter1	16K / 13.5 GB	475	0
...Coder6.7b Reflct Rmsprop Iter1	16K / 13.5 GB	95	0
...Coder6.7b Reflct Rmsprop Iter1	16K / 13.5 GB	110	0
...r6.7b Pos Reflct Rmsprop Iter1	16K / 13.5 GB	87	0
Code 290K 6.7B Instruct	16K / 13.5 GB	87	6
...r6.7b Pos Reflct Rmsprop Iter1	16K / 13.5 GB	90	0
...Coder6.7b Reflct Rmsprop Iter1	16K / 13.5 GB	62	0
Ds Coder6.7b Rmsprop Iter1	16K / 13.5 GB	67	0
Datascience Coder 6.7B	16K / 13.5 GB	204	4

Note: green Score (e.g. "73.2") means that the model is better than all-oj-gen/all_oj_pair4_ds_coder6.7b_rmsprop_iter1.