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

All Oj Pair4 Ds Coder 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 Coder Rmsprop Iter1 and how large is it?

All Oj Pair4 Ds Coder 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 Coder Rmsprop Iter1?

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

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

All Oj Pair4 Ds Coder Rmsprop Iter1 is an open-source language model by all-oj-gen. Features: 7b LLM, VRAM: 13.9GB, Context: 4K, 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 coder or... 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_coder_rmsprop_iter1

All Oj Pair4 Ds Coder Rmsprop Iter1 Parameters and Internals

LLM Name	All Oj Pair4 Ds Coder Rmsprop Iter1
Repository 🤗	https://huggingface.co/all-oj-gen/all_oj_pair4_ds_coder_rmsprop_iter1
Base Model(s)	deepseek-ai/deepseek-coder-7b-instruct-v1.5 deepseek-ai/deepseek-coder-7b-instruct-v1.5
Model Size	7b
Required VRAM	13.9 GB
Updated	2024-12-12
Maintainer	all-oj-gen
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 3.9 GB: 3-of-3 0.0 GB
Generates Code	Yes
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 Coder 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 Coder Rmsprop Iter1

Best Alternatives	Context / RAM	Downloads	Likes
Deepseek Coder 6.7B Instruct	16K / 13.5 GB	535311	507
CodeLlama 7B Instruct Hf	16K / 13.5 GB	58587	258
GetCode Slerp	16K / 13.6 GB	87	1
Stack Codellama 7B Inst	16K / 13.5 GB	66	0
CodeV CL 7B	16K / 13.5 GB	430	1
CodeLlama 7B Instruct Hf	16K / 13.5 GB	2313	63
Glaive Coder 7B	16K / 27 GB	85	55
...deLlama 7B Instruct Hf 8bits Q	16K / 4.2 GB	8	1
Llama 2 7B Chat Finetune5	16K / 13.8 GB	3	1
...ama 7B Instruct Hf Dequantized	16K / 13.5 GB	197	0

Note: green Score (e.g. "73.2") means that the model is better than all-oj-gen/all_oj_pair4_ds_coder_rmsprop_iter1.