What are the hardware requirements for All Oj Pair8 Ds Coder Reflct Rmsprop Iter2?

All Oj Pair8 Ds Coder Reflct Rmsprop Iter2 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 Pair8 Ds Coder Reflct Rmsprop Iter2 and how large is it?

All Oj Pair8 Ds Coder Reflct Rmsprop Iter2 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 Pair8 Ds Coder Reflct Rmsprop Iter2?

All Oj Pair8 Ds Coder Reflct Rmsprop Iter2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

All Oj Pair8 Ds Coder Reflct Rmsprop Iter2 by all-oj-gen — VRAM 13.9GB, 4K context

Name: All Oj Pair8 Ds Coder Reflct Rmsprop Iter2
Author: all-oj-gen

All Oj Pair8 Ds Coder Reflct Rmsprop Iter2 is an open-source language model by all-oj-gen. Features: 6.9b LLM, VRAM: 13.9GB, Context: 4K, License: other, Code Generating, LLM Explorer Score: 0.16.

Alignment-handbook Autotrain compatible Base model:all-oj-gen/all oj p... Base model:finetune:all-oj-gen... Codegen Conversational Dataset:all-oj-gen/ds coder re... 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_pair8_ds_coder_reflct_rmsprop_iter2

All Oj Pair8 Ds Coder Reflct Rmsprop Iter2 Parameters and Internals

LLM Name	All Oj Pair8 Ds Coder Reflct Rmsprop Iter2
Repository 🤗	https://huggingface.co/all-oj-gen/all_oj_pair8_ds_coder_reflct_rmsprop_iter2
Base Model(s)	... Ds Coder Reflct Rmsprop Iter1 all-oj-gen/all_oj_pair8_ds_coder_reflct_rmsprop_iter1
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
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 Pair8 Ds Coder Reflct Rmsprop Iter2 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 Pair8 Ds Coder Reflct Rmsprop Iter2

Best Alternatives	Context / RAM	Downloads
...j Pair8 Ds Coder Rmsprop Iter4	4K / 13.9 GB	145
... Ds Coder Reflct Rmsprop Iter4	4K / 13.9 GB	105
... Ds Coder Reflct Rmsprop Iter3	4K / 13.9 GB	70
...Coder Pos Reflct Rmsprop Iter3	4K / 13.9 GB	94
... Ds Coder Reflct Rmsprop Iter2	4K / 13.9 GB	93
... Ds Coder Reflct Rmsprop Iter3	4K / 13.9 GB	90
... Ds Coder Reflct Rmsprop Iter4	4K / 13.9 GB	89
...j Pair8 Ds Coder Rmsprop Iter3	4K / 13.9 GB	61
...Coder Pos Reflct Rmsprop Iter2	4K / 13.9 GB	73
...s Coder Pos Reflct Adamw Iter3	4K / 13.9 GB	189

Note: green Score (e.g. "73.2") means that the model is better than all-oj-gen/all_oj_pair8_ds_coder_reflct_rmsprop_iter2.